gretl version 1.9.7 Current session: 2012-03-26 03:51 #Zkouska MLE odhadu AR(7)-GARCH(1,1)-T s DOF = 6.433 pro allRng na celem samplu #Chceme dosahnout stejnych odhadu jake ma Eviews #LogLik funkci mame z http://faculty.chicagobooth.edu/jeffrey.russell/teaching/finecon/readings/glossary.pdf p15 #LogLik funkce v Eviews je http://www.scribd.com/doc/44246798/EViews-7-Users-Guide-II p. 198 #http://lists.wfu.edu/pipermail/gretl-users/2006-June/000756.html - ARMA GARCH MLE odhad #Estimator is pretty close to Eviews built-in ARMA-GARCH FRAMEWORK # --------------- ARMA 7,5 initial values ---------------- # #scalar c = 0.009528 #scalar a1 = -0.809 #scalar a2 = -0.485 #scalar a3 = 0.561 #scalar a4 = 0.799 #scalar a5 = 0.818 #scalar a6 = -0.047 #scalar a7 = -0.0123 #scalar ma1 = 0.9399 #scalar ma2 = 0.743 #scalar ma3 = -0.295 #scalar ma4 = -0.618 #scalar ma5 = -0.785 ? scalar c = 0.009528 Replaced scalar c = 0.009528 ? scalar a1 = 0.63 Replaced scalar a1 = 0.63 ? scalar a2 = 0.35 Replaced scalar a2 = 0.35 ? scalar a3 = -0.38 Replaced scalar a3 = -0.38 ? scalar a4 = -0.499 Replaced scalar a4 = -0.499 ? scalar a5 = 0.893 Replaced scalar a5 = 0.893 ? scalar a6 = -0.061 Replaced scalar a6 = -0.061 ? scalar ma1 = -0.51 Replaced scalar ma1 = -0.51 ? scalar ma2 = -0.30 Replaced scalar ma2 = -0.3 ? scalar ma3 = 0.347 Replaced scalar ma3 = 0.347 ? scalar ma4 = 0.589 Replaced scalar ma4 = 0.589 ? scalar ma5 = -0.787 Replaced scalar ma5 = -0.787 # GARCH - h[t] = cg + ga*h[t-1] + arc*e^2[t-1] ? scalar cg = 0.05 Replaced scalar cg = 0.05 ? scalar ga = 0.922 Replaced scalar ga = 0.922 ? scalar arc = 0.05 Replaced scalar arc = 0.05 ? scalar dof = 5.7 Replaced scalar dof = 5.7 #mle ll = check ? ( -0.5*log(pi*(dof-2)) - lngamma(dof/2) + lngamma((dof + 1)/2) -0.5*log(h) - 0.5*(dof + 1)*log(1 + (dof - 2)^(-1)*h^(-1)*e^2)) : NA # MLE funkce z Eviews dokumentace ? mle ll = ( -0.5*log(pi*(dof-2)) - lngamma(dof/2) + lngamma((dof + 1)/2) \ -0.5*log(h) - 0.5*(dof + 1)*log(1 + (dof - 2)^(-1)*h^(-1)*e^2)) # MLE \ funkce z Eviews dokumentace ? series e = 0 ? series e = allRng - c - a1*allRng(-1) - a2*allRng(-2) - a3*allRng(-3) - \ a4*allRng(-4) - a5*allRng(-5) - a6*allRng(-6) - ma1*e(-1) - ma2*e(-2) - \ ma3*e(-3) - ma4*e(-4) - ma5*e(-5) #ARMA(7,5) process ? series h = var(allRng) ? series h = cg + ga*h(-1) + arc*(e(-1))^2 # GARCH(1,1) ? params c a1 a2 a3 a4 a5 a6 ma1 ma2 ma3 ma4 ma5 cg ga arc dof # pro \ ARMA(7,5) proces ? end mle --verbose Using numerical derivatives Iteration 1: loglikelihood = -510.925914728 Parameters: 0.0095280 0.63000 0.35000 -0.38000 -0.49900 0.89300 -0.061000 -0.51000 -0.30000 0.34700 0.58900 -0.78700 0.050000 0.92200 0.050000 5.7000 Gradients: -285.56 -3.4412 -3.4509 -3.4516 -3.4589 -3.4524 -3.4404 7.2845 7.2570 7.2477 7.2404 7.2579 -9954.4 -6253.5 -6.6043 -39.678 (norm 2.02e+001) Iteration 2: loglikelihood = -65.1495425034 (steplength = 2.56e-006) Parameters: 0.0087970 0.62999 0.34999 -0.38001 -0.49901 0.89299 -0.061009 -0.50998 -0.29998 0.34702 0.58902 -0.78698 0.024517 0.90599 0.049983 5.6999 Gradients: -612.57 -7.3821 -7.4054 -7.4073 -7.4240 -7.4087 -7.3808 14.318 14.261 14.243 14.228 14.268 -20250. -5197.0 -11.342 -39.558 (norm 1.85e+001) Iteration 3: loglikelihood = 221.248014691 (steplength = 5.12e-007) Parameters: 0.0084833 0.62999 0.34999 -0.38001 -0.49901 0.89299 -0.061013 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.014149 0.90333 0.049977 5.6999 Gradients: -1039.9 -12.530 -12.571 -12.575 -12.604 -12.577 -12.528 23.351 23.254 23.226 23.199 23.269 -34976. -5043.4 -18.128 -39.405 (norm 1.83e+001) Iteration 4: loglikelihood = 368.227700571 (steplength = 1.024e-007) Parameters: 0.0083768 0.62999 0.34999 -0.38001 -0.49901 0.89299 -0.061014 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.010567 0.90281 0.049975 5.6999 Gradients: -1376.8 -16.588 -16.643 -16.648 -16.687 -16.651 -16.585 30.486 30.358 30.321 30.286 30.379 -46709. -5006.9 -23.564 -39.284 (norm 1.83e+001) Iteration 5: loglikelihood = 667.369941282 (steplength = 1.024e-007) Parameters: 0.0082358 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061016 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.0057842 0.90230 0.049973 5.6999 Gradients: -2468.1 -29.731 -29.832 -29.841 -29.912 -29.846 -29.727 53.627 53.398 53.332 53.269 53.438 -84622. -4948.2 -41.165 -38.893 (norm 1.84e+001) Iteration 6: loglikelihood = 841.684449504 (steplength = 2.048e-008) Parameters: 0.0081853 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061016 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.0040511 0.90220 0.049972 5.6999 Gradients: -3489.1 -42.029 -42.173 -42.185 -42.286 -42.192 -42.022 75.294 74.969 74.878 74.788 75.028 -1.1987e+005 -4912.4 -57.544 -38.527 (norm 1.85e+001) Iteration 7: loglikelihood = 1287.14658224 (steplength = 2.048e-008) Parameters: 0.0081138 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061017 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.0015962 0.90210 0.049971 5.6999 Gradients: -8605.4 -103.66 -104.02 -104.05 -104.30 -104.06 -103.64 183.89 183.09 182.87 182.64 183.23 -2.9211e+005 -4752.3 -137.57 -36.687 (norm 1.90e+001) Iteration 8: loglikelihood = 1885.84119147 (steplength = 4.096e-009) Parameters: 0.0080786 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061017 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.00039972 0.90208 0.049970 5.6999 Gradients: -31166. -375.57 -376.82 -376.90 -377.78 -376.96 -375.43 662.56 659.72 658.90 658.05 660.12 -9.5340e+005 -4045.4 -443.94 -28.459 (norm 2.12e+001) Iteration 9: loglikelihood = 2060.57332731 (steplength = 1.6384e-010) Parameters: 0.0080735 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061018 -0.50997 -0.29997 0.34703 0.58903 -0.78697 0.00024352 0.90208 0.049970 5.6999 Gradients: -47430. -571.77 -573.58 -573.69 -575.00 -573.77 -571.45 1007.4 1003.1 1001.8 1000.5 1003.6 -1.3133e+006 -3510.2 -609.56 -22.391 (norm 2.26e+001) Iteration 10: loglikelihood = 2319.19543814 (steplength = 1.6384e-010) Parameters: 0.0080657 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061018 -0.50996 -0.29996 0.34703 0.58903 -0.78696 2.8350e-005 0.90208 0.049970 5.6999 Gradients: -1.5343e+005 -1857.3 -1860.5 -1860.1 -1863.2 -1860.2 -1853.4 3246.4 3235.1 3230.6 3224.6 3229.8 2.6436e+006 1391.0 1239.1 25.344 (norm 3.18e+001) Iteration 11: loglikelihood = 2339.17574042 (steplength = 4.096e-009) Parameters: 0.0077262 0.62998 0.34998 -0.38002 -0.49902 0.89298 -0.061022 -0.50996 -0.29996 0.34704 0.58904 -0.78696 1.9237e-005 0.90207 0.049970 5.6999 Gradients: -1.6854e+005 -2040.7 -2043.9 -2043.3 -2046.6 -2043.7 -2036.1 3397.0 3385.4 3380.6 3373.5 3378.2 5.3336e+006 2177.1 2254.3 31.323 (norm 3.35e+001) Iteration 12: loglikelihood = 3010.10424383 (steplength = 1.28e-005) Parameters: 0.0041523 0.62998 0.34996 -0.38004 -0.49904 0.89296 -0.061036 -0.51294 -0.30295 0.34406 0.58606 -0.78993 2.2570e-005 0.83052 0.045531 5.6993 Gradients: -2.6983e+005 -3208.3 -3222.7 -3223.3 -3236.2 -3228.3 -3209.5 2767.3 2747.9 2745.5 2730.4 2748.3 1.1492e+006 202.11 142.42 14.851 (norm 3.30e+001) Iteration 13: loglikelihood = 3011.31298279 (steplength = 1.31072e-012) Parameters: 0.0041519 0.62998 0.34996 -0.38004 -0.49904 0.89296 -0.061036 -0.51294 -0.30295 0.34406 0.58606 -0.78993 2.4077e-005 0.83052 0.045531 5.6993 Gradients: -2.6067e+005 -3099.8 -3114.1 -3114.6 -3127.1 -3119.4 -3101.1 2673.3 2654.2 2651.9 2637.3 2655.0 3.5542e+005 74.143 45.872 13.028 (norm 3.23e+001) Iteration 14: loglikelihood = 3328.39532343 (steplength = 4.096e-009) Parameters: 0.0030490 0.62996 0.34995 -0.38005 -0.49906 0.89294 -0.061049 -0.51293 -0.30293 0.34407 0.58607 -0.78992 1.1333e-005 0.83053 0.045531 5.6993 Gradients: -3.4606e+005 -4050.8 -4079.0 -4082.0 -4105.6 -4091.2 -4061.0 2400.7 2369.7 2366.1 2341.6 2374.3 2.8376e+006 246.27 172.59 14.048 (norm 3.43e+001) Iteration 15: loglikelihood = 3329.95120669 (steplength = 2.62144e-013) Parameters: 0.0030489 0.62996 0.34995 -0.38005 -0.49906 0.89294 -0.061049 -0.51293 -0.30293 0.34407 0.58607 -0.78992 1.2077e-005 0.83053 0.045531 5.6993 Gradients: -3.3487e+005 -3921.2 -3949.0 -3951.9 -3974.8 -3960.7 -3931.1 2322.9 2292.4 2289.0 2265.2 2297.4 1.3075e+006 123.61 75.071 12.429 (norm 3.37e+001) Iteration 16: loglikelihood = 3768.15255465 (steplength = 4.096e-009) Parameters: 0.0016990 0.62995 0.34994 -0.38007 -0.49907 0.89293 -0.061065 -0.51292 -0.30293 0.34408 0.58608 -0.78991 2.1955e-006 0.83053 0.045531 5.6993 Gradients: -5.0483e+005 -5686.5 -5750.2 -5759.5 -5817.6 -5780.9 -5724.7 1485.5 1427.5 1421.8 1366.2 1445.8 6.2460e+007 1260.1 1581.9 18.000 (norm 3.71e+001) Iteration 17: loglikelihood = 3794.16674475 (steplength = 5.12e-007) Parameters: 0.0015630 0.63005 0.35001 -0.38000 -0.49902 0.89300 -0.060981 -0.51414 -0.30416 0.34285 0.58484 -0.79112 1.8214e-006 0.82827 0.044090 5.6993 Gradients: -5.2387e+005 -5874.0 -5936.0 -5943.7 -6007.6 -5974.8 -5921.4 1364.5 1311.8 1310.3 1247.4 1323.2 8.5185e+007 1444.5 1980.5 18.117 (norm 3.74e+001) Iteration 18: loglikelihood = 3982.02706606 (steplength = 1.28e-005) Parameters: 0.0010299 0.62908 0.34924 -0.38061 -0.49970 0.89197 -0.062236 -0.50768 -0.29741 0.34990 0.59171 -0.78466 2.5996e-006 0.77225 0.0075681 5.6987 Gradients: -2.3700e+005 -2631.1 -2792.0 -2804.6 -2844.2 -2736.2 -2593.5 199.11 10.255 2.0793 -27.555 176.96 6.5428e+007 816.36 2230.4 6.9715 (norm 2.38e+001) Iteration 19: loglikelihood = 4013.73968795 (steplength = 6.4e-005) Parameters: 0.0014915 0.62553 0.33452 -0.39606 -0.51551 0.88401 -0.060089 -0.49730 -0.30125 0.34534 0.58758 -0.77457 2.2416e-006 0.72095 0.050345 5.6982 Gradients: -1.4527e+005 -1368.1 -1301.3 -1262.1 -1300.5 -1341.5 -1376.4 53.994 141.80 202.15 182.78 188.78 5.9295e+007 705.64 1112.9 6.6617 (norm 1.78e+001) Iteration 20: loglikelihood = 4018.22524988 (steplength = 6.4e-005) Parameters: 0.00063756 0.63689 0.34429 -0.38443 -0.50498 0.89648 -0.044484 -0.49695 -0.30343 0.34593 0.58883 -0.76556 1.9529e-006 0.69856 0.073231 5.6981 Gradients: -1.1622e+005 -1371.3 -1286.5 -1333.5 -1401.1 -1463.0 -1491.6 -22.521 75.463 31.842 -26.619 -57.317 6.6671e+007 735.60 1040.1 6.8420 (norm 1.74e+001) Iteration 21: loglikelihood = 4018.57241007 (steplength = 6.4e-005) Parameters: 0.00063252 0.63683 0.34750 -0.38249 -0.50535 0.89437 -0.046788 -0.49869 -0.30201 0.34627 0.58810 -0.76481 1.9335e-006 0.69756 0.074572 5.6982 Gradients: -1.1493e+005 -1359.9 -1304.6 -1340.0 -1384.2 -1433.3 -1441.9 -27.300 41.687 13.876 -24.635 -45.067 6.7219e+007 737.34 1036.1 6.8301 (norm 1.73e+001) Iteration 22: loglikelihood = 4018.73150637 (steplength = 6.4e-005) Parameters: 0.00064192 0.63621 0.34866 -0.38198 -0.50571 0.89277 -0.046757 -0.50084 -0.30250 0.34584 0.58816 -0.76183 1.9336e-006 0.69747 0.074627 5.6985 Gradients: -1.1491e+005 -1337.0 -1296.1 -1340.9 -1390.2 -1447.4 -1436.1 -2.9341 49.129 10.725 -36.737 -66.919 6.7130e+007 736.57 1035.6 6.8143 (norm 1.73e+001) Iteration 23: loglikelihood = 4020.18817276 (steplength = 0.0016) Parameters: 0.00062027 0.67159 0.42614 -0.36712 -0.54342 0.75862 0.0010230 -0.54835 -0.32219 0.30689 0.56659 -0.62875 2.1641e-006 0.70265 0.061682 5.7128 Gradients: -1.1584e+005 -1457.9 -1451.1 -1431.0 -1374.5 -1475.2 -1455.4 -49.152 -43.744 -8.5749 52.305 -55.022 6.1022e+007 703.03 1074.5 6.9460 (norm 1.75e+001) Iteration 24: loglikelihood = 4021.72451580 (steplength = 0.00032) Parameters: 0.00064814 0.67987 0.44401 -0.36199 -0.53985 0.70795 0.014267 -0.56244 -0.33427 0.29698 0.57648 -0.60201 2.1809e-006 0.70229 0.061089 5.7175 Gradients: -1.1451e+005 -1451.4 -1456.2 -1427.2 -1390.3 -1418.1 -1421.2 -55.904 -60.187 -35.595 2.6894 -34.840 6.0285e+007 696.03 1065.5 6.7557 (norm 1.73e+001) Iteration 25: loglikelihood = 4022.13577802 (steplength = 0.008) Parameters: 0.00068611 0.62712 0.42618 -0.28208 -0.51594 0.65015 0.035503 -0.52502 -0.33650 0.25752 0.54867 -0.56954 2.2521e-006 0.70343 0.057594 5.7416 Gradients: -1.1493e+005 -1427.0 -1391.0 -1458.3 -1398.5 -1433.4 -1476.1 -30.956 11.487 -65.546 1.2639 -45.576 5.8379e+007 683.69 1066.6 6.4870 (norm 1.67e+001) Iteration 26: loglikelihood = 4023.89497846 (steplength = 0.0016) Parameters: 0.00065638 0.54527 0.41829 -0.19302 -0.45793 0.57632 0.054510 -0.46026 -0.31516 0.14627 0.52025 -0.51472 2.3730e-006 0.70467 0.052492 5.7812 Gradients: -1.1360e+005 -1391.0 -1392.0 -1415.6 -1450.7 -1451.8 -1517.0 12.092 25.757 -14.588 -42.131 -48.312 5.4215e+007 654.88 1076.0 5.8894 (norm 1.58e+001) Iteration 27: loglikelihood = 4024.96139430 (steplength = 0.0016) Parameters: 0.00064688 0.52578 0.39790 -0.12658 -0.41840 0.53605 0.029832 -0.40986 -0.32312 0.070226 0.50515 -0.46485 2.4716e-006 0.70660 0.047605 5.8093 Gradients: -1.1356e+005 -1420.3 -1392.4 -1424.7 -1487.5 -1458.3 -1511.6 -13.833 34.739 -17.237 -81.262 -53.006 5.1362e+007 634.35 1102.4 5.4654 (norm 1.53e+001) Iteration 28: loglikelihood = 4030.56361140 (steplength = 0.2) Parameters: 0.00082351 0.91405 -0.38761 0.20468 -0.15705 0.29458 0.059582 -0.79178 0.41528 -0.27809 0.37106 -0.33358 2.6402e-006 0.68684 0.057601 6.3826 Gradients: -97596. -1146.1 -1107.9 -1141.0 -1289.2 -1244.0 -1180.4 12.132 56.028 36.988 -139.75 -111.61 4.2427e+007 546.32 883.81 2.5648 (norm 1.40e+001) Iteration 29: loglikelihood = 4037.99641550 (steplength = 0.2) Parameters: 0.00097175 1.0643 -0.51017 0.51141 -0.79678 0.50082 0.14454 -0.97661 0.57814 -0.54994 0.93563 -0.59620 2.9971e-006 0.65955 0.070393 7.2412 Gradients: -72541. -911.62 -780.59 -808.31 -888.07 -733.16 -868.35 -150.39 68.861 49.588 -118.63 115.08 3.1349e+007 431.68 621.80 0.63395 (norm 1.56e+001) Iteration 30: loglikelihood = 4041.10287416 (steplength = 0.04) Parameters: 0.0010588 1.1019 -0.47914 0.34834 -0.79310 0.60155 0.12536 -1.0205 0.55624 -0.37707 0.91207 -0.67613 3.1864e-006 0.64321 0.078968 7.7456 Gradients: -56943. -1220.7 -1145.3 -729.00 -265.43 64.509 -120.34 -490.07 -884.18 -716.44 -163.58 618.22 2.6302e+007 381.66 528.82 -0.056279 (norm 1.71e+001) Iteration 31: loglikelihood = 4043.68478524 (steplength = 0.008) Parameters: 0.0010650 1.0875 -0.45609 0.32001 -0.77618 0.60855 0.12031 -1.0067 0.53384 -0.34786 0.89298 -0.67728 3.2119e-006 0.64204 0.079361 7.7791 Gradients: -55576. -1091.2 -1068.8 -727.24 -326.33 -22.597 -151.49 -453.24 -815.36 -636.86 -116.15 579.73 2.5467e+007 370.71 510.40 -0.18293 (norm 1.62e+001) Iteration 32: loglikelihood = 4055.86262394 (steplength = 0.2) Parameters: 0.0011745 0.93801 -0.032019 -0.031582 -0.65511 0.59288 0.074898 -0.85129 0.12927 -0.0061894 0.69671 -0.57510 3.5953e-006 0.64297 0.070967 7.8673 Gradients: -5173.4 -84.687 -82.759 46.635 204.14 211.59 176.05 -112.54 -159.06 -51.932 114.58 146.69 1.6663e+007 271.76 409.15 -1.2436 (norm 7.57e+000) Iteration 33: loglikelihood = 4058.04061470 (steplength = 1) Parameters: 0.0012434 1.0097 -0.22390 0.15794 -0.68891 0.52138 0.11742 -0.93079 0.32049 -0.19360 0.77822 -0.53882 3.7295e-006 0.68369 0.086114 4.2528 Gradients: -91350. -1034.0 -1095.5 -1075.1 -1033.3 -1021.1 -1005.7 26.020 -52.252 -53.292 -34.970 -44.629 1.2782e+007 244.14 282.97 12.622 (norm 1.44e+001) Iteration 34: loglikelihood = 4071.50696086 (steplength = 1) Parameters: 0.0010082 0.91849 -0.0030009 -0.047104 -0.68441 0.65013 0.072031 -0.82972 0.092054 0.013666 0.74163 -0.60497 3.8408e-006 0.65918 0.090426 6.8025 Gradients: -29341. -343.98 -413.76 -396.09 -328.90 -318.64 -270.10 -5.6180 -85.341 -82.190 -36.433 -45.774 4.7339e+006 117.19 171.85 -0.65501 (norm 7.91e+000) Iteration 35: loglikelihood = 4074.40670498 (steplength = 1) Parameters: 0.00083334 0.95889 -0.091337 -0.018147 -0.70357 0.69104 0.069556 -0.86773 0.15685 -0.031391 0.78039 -0.65614 3.5948e-006 0.68518 0.084266 6.0830 Gradients: 49539. 600.29 601.69 625.15 607.85 560.80 552.16 36.120 52.737 81.677 50.079 -12.461 3.3971e+006 98.940 168.92 -1.3183 (norm 1.04e+001) Iteration 36: loglikelihood = 4079.25372704 (steplength = 1) Parameters: 0.00087945 0.92546 -0.0090954 -0.10359 -0.68680 0.73786 0.045659 -0.81776 0.064123 0.055194 0.76394 -0.67393 3.6189e-006 0.69686 0.093183 5.8029 Gradients: 7539.7 163.38 98.267 56.401 23.910 18.751 96.683 41.400 -11.012 -28.100 -62.745 -75.301 -3.0937e+005 39.095 92.396 -1.0258 (norm 4.85e+000) Iteration 37: loglikelihood = 4080.81875380 (steplength = 1) Parameters: 0.00088295 0.87978 0.13386 -0.25824 -0.63630 0.77683 0.016791 -0.74883 -0.087325 0.20060 0.70417 -0.68021 3.4512e-006 0.72002 0.097594 5.3008 Gradients: -12579. -140.74 -147.39 -154.14 -128.64 -143.22 -107.42 -25.985 -26.587 -30.849 -4.8601 -32.854 -2.2754e+006 3.7832 51.611 -0.46419 (norm 5.37e+000) Iteration 38: loglikelihood = 4081.78893095 (steplength = 1) Parameters: 0.00081336 0.95214 -0.019314 -0.15072 -0.63184 0.72149 0.047260 -0.82512 0.056837 0.085941 0.72845 -0.67107 3.0933e-006 0.74825 0.10240 4.7355 Gradients: -17710. -187.65 -104.47 -85.102 -156.78 -249.89 -314.56 -25.838 53.911 92.363 34.692 -42.295 -2.8049e+006 -9.1666 28.788 0.33647 (norm 6.17e+000) Iteration 39: loglikelihood = 4082.81311766 (steplength = 1) Parameters: 0.00065961 0.96851 -0.031179 -0.16439 -0.57635 0.68959 0.041935 -0.84005 0.047705 0.10703 0.70616 -0.67025 2.5255e-006 0.77958 0.10969 4.0304 Gradients: 4114.0 61.095 12.552 -62.344 -92.279 -10.538 50.853 -3.6063 -35.788 -95.967 -123.97 -37.659 2.5538e+005 46.937 52.660 3.6740 (norm 4.48e+000) Iteration 40: loglikelihood = 4084.65909579 (steplength = 1) Parameters: 0.00069028 0.95366 0.0026677 -0.18064 -0.57631 0.67890 0.048546 -0.83673 0.029279 0.12316 0.69022 -0.65794 2.5351e-006 0.77141 0.10885 4.7870 Gradients: 5228.0 44.985 37.781 19.137 20.861 59.417 65.767 -23.071 -12.948 -27.041 -32.991 -9.8638 -3.2368e+006 -17.828 2.8993 -0.24114 (norm 3.37e+000) Iteration 41: loglikelihood = 4085.78451539 (steplength = 1) Parameters: 0.00064201 0.92274 0.085298 -0.26612 -0.56431 0.71589 0.038185 -0.80785 -0.048895 0.19897 0.67130 -0.67987 2.1889e-006 0.78762 0.11304 4.8314 Gradients: 4703.4 58.940 68.579 45.301 24.584 31.124 20.224 -10.448 17.077 -1.0001 -16.187 -18.372 -3.5317e+006 -29.096 -22.845 -0.43693 (norm 3.36e+000) Iteration 42: loglikelihood = 4086.54396378 (steplength = 1) Parameters: 0.00053984 0.93125 0.099745 -0.29463 -0.54547 0.71199 0.039364 -0.82661 -0.055579 0.21105 0.65745 -0.69020 1.2504e-006 0.82616 0.11949 4.9381 Gradients: -205.59 -34.197 30.500 75.300 59.328 30.505 -55.280 -38.704 30.687 68.579 56.681 30.178 3.2856e+006 52.803 -11.625 0.62365 (norm 4.12e+000) Iteration 43: loglikelihood = 4087.23341700 (steplength = 1) Parameters: 0.00057616 0.93762 0.074464 -0.26596 -0.56018 0.71706 0.035436 -0.83110 -0.036722 0.19046 0.67127 -0.69154 1.4868e-006 0.82083 0.11534 4.9301 Gradients: 4709.4 57.275 78.476 85.479 69.976 69.724 36.642 -14.925 18.879 28.353 16.578 11.872 -1.4852e+006 -12.061 -42.060 -0.19996 (norm 3.80e+000) Iteration 44: loglikelihood = 4087.67480823 (steplength = 1) Parameters: 0.00055529 0.94571 0.060006 -0.24976 -0.57456 0.73090 0.028342 -0.83910 -0.025928 0.17635 0.68353 -0.70017 1.3666e-006 0.82822 0.11194 5.0338 Gradients: 4823.3 74.605 67.082 57.961 44.121 59.101 58.952 -3.6469 0.82456 0.32851 -6.4636 6.2850 -9.6413e+005 -4.9164 -40.104 -0.24070 (norm 3.40e+000) Iteration 45: loglikelihood = 4088.53514353 (steplength = 1) Parameters: 0.00048986 0.98184 0.0028018 -0.18902 -0.61729 0.75931 0.010818 -0.87322 0.019519 0.12013 0.71736 -0.71619 9.2854e-007 0.86192 0.098445 5.1636 Gradients: -6611.4 -49.582 -77.639 -78.821 -79.574 -61.605 -34.585 -8.4143 -21.761 0.43037 5.0562 18.756 8.4234e+005 10.491 -42.509 -0.0036753 (norm 3.56e+000) Iteration 46: loglikelihood = 4089.18704078 (steplength = 1) Parameters: 0.00041851 1.0036 -0.020909 -0.16474 -0.64349 0.78316 -0.0028770 -0.89364 0.032501 0.10290 0.73143 -0.72414 7.1273e-007 0.88464 0.083771 5.2260 Gradients: 1889.9 61.386 31.279 16.868 2.2149 -11.879 23.648 25.079 23.347 39.849 23.083 -12.391 2.1991e+006 29.287 -27.492 0.022185 (norm 3.16e+000) Iteration 47: loglikelihood = 4089.41234836 (steplength = 0.2) Parameters: 0.00040949 1.0102 -0.027173 -0.16147 -0.64769 0.78898 -0.0072117 -0.89879 0.034272 0.10220 0.73244 -0.72541 6.7795e-007 0.89176 0.078704 5.2020 Gradients: 1848.8 68.850 39.883 20.157 2.5786 -19.603 17.100 36.468 38.076 48.141 25.489 -22.657 3.4472e+005 2.5740 -42.286 -0.080245 (norm 3.28e+000) Iteration 48: loglikelihood = 4089.41280624 (steplength = 1.04858e-014) Parameters: 0.00040949 1.0102 -0.027173 -0.16147 -0.64769 0.78898 -0.0072117 -0.89879 0.034272 0.10220 0.73244 -0.72541 6.8156e-007 0.89176 0.078704 5.2020 Gradients: 2011.7 70.631 41.638 21.873 4.2612 -17.840 18.884 36.535 38.095 48.099 25.419 -22.623 -81334. -3.9133 -46.822 -0.12136 (norm 3.31e+000) Iteration 49: loglikelihood = 4089.41440453 (steplength = 8.192e-010) Parameters: 0.00041111 1.0102 -0.027173 -0.16147 -0.64769 0.78898 -0.0072117 -0.89879 0.034272 0.10220 0.73244 -0.72541 6.8218e-007 0.89176 0.078704 5.2020 Gradients: 9.4795 48.810 19.819 0.019678 -17.648 -39.756 -3.1268 36.175 37.761 47.703 24.927 -23.137 -80839. -3.7358 -46.559 -0.098084 (norm 3.30e+000) Iteration 50: loglikelihood = 4089.54119425 (steplength = 1.28e-005) Parameters: 0.00040973 1.0109 -0.026920 -0.16147 -0.64791 0.78847 -0.0072532 -0.89832 0.034757 0.10282 0.73276 -0.72570 6.8882e-007 0.89173 0.078117 5.2020 Gradients: 25.821 22.101 -7.7626 -14.598 -12.461 -18.981 17.526 7.8766 8.6023 33.401 33.248 2.7544 -74123. -0.98266 -42.179 -0.067599 (norm 2.37e+000) Iteration 51: loglikelihood = 4089.64710899 (steplength = 0.00032) Parameters: 0.00052043 1.0200 -0.034427 -0.17133 -0.65441 0.78007 0.0045544 -0.89708 0.036315 0.11976 0.75210 -0.72133 9.1690e-007 0.89210 0.055657 5.2019 Gradients: -836.96 162.28 119.76 -14.297 -154.23 -218.36 -154.75 246.43 176.91 -5.2025 -198.38 -280.51 2.4535e+006 116.39 171.40 0.59205 (norm 8.45e+000) Iteration 52: loglikelihood = 4089.72573145 (steplength = 1.28e-005) Parameters: 0.00054434 1.0205 -0.035141 -0.17237 -0.65526 0.77930 0.0052358 -0.89680 0.036295 0.12031 0.75264 -0.72150 9.1668e-007 0.89254 0.055077 5.2019 Gradients: -941.01 164.15 154.33 38.126 -107.25 -196.68 -165.51 228.33 195.86 39.390 -152.16 -257.09 2.5334e+006 117.89 175.92 0.59877 (norm 8.07e+000) Iteration 53: loglikelihood = 4089.87733353 (steplength = 6.4e-005) Parameters: 0.00058695 1.0219 -0.036839 -0.17458 -0.65686 0.77708 0.0075112 -0.89661 0.036779 0.12392 0.75605 -0.72174 8.4837e-007 0.89615 0.056290 5.2019 Gradients: -1353.3 255.98 209.70 25.591 -171.69 -264.18 -193.05 334.80 223.40 -33.184 -278.13 -357.00 2.3195e+006 105.96 147.54 0.54393 (norm 9.63e+000) Iteration 54: loglikelihood = 4090.00399230 (steplength = 6.4e-005) Parameters: 0.00054061 1.0247 -0.036717 -0.17532 -0.65729 0.77624 0.010767 -0.89624 0.035957 0.12501 0.75753 -0.72169 7.9413e-007 0.89944 0.056650 5.2020 Gradients: -2121.1 219.53 194.57 15.517 -190.30 -299.10 -250.27 309.90 227.16 -12.618 -255.61 -348.84 2.2845e+006 102.49 137.01 0.58754 (norm 9.47e+000) Iteration 55: loglikelihood = 4090.04630337 (steplength = 6.4e-005) Parameters: 0.00053052 1.0272 -0.035883 -0.17566 -0.65813 0.77399 0.011841 -0.89731 0.034067 0.12548 0.75898 -0.72116 7.3829e-007 0.90340 0.056228 5.2020 Gradients: -2708.4 116.12 84.692 -42.018 -164.42 -206.98 -157.58 261.27 157.13 -66.445 -260.21 -300.27 2.2749e+006 98.730 129.26 0.59853 (norm 8.53e+000) Iteration 56: loglikelihood = 4090.24969978 (steplength = 0.00032) Parameters: 0.00051928 1.0267 -0.035911 -0.17527 -0.65651 0.77187 0.013594 -0.89784 0.032231 0.12657 0.75953 -0.72405 6.3150e-007 0.91345 0.051831 5.2020 Gradients: -3188.2 124.29 85.841 -56.300 -186.97 -223.49 -169.79 279.15 166.50 -76.350 -280.36 -313.06 3.3294e+006 113.29 149.80 0.65747 (norm 8.88e+000) Iteration 57: loglikelihood = 4090.31331283 (steplength = 0.00032) Parameters: 0.00052309 1.0262 -0.034609 -0.17672 -0.65707 0.77280 0.013465 -0.89741 0.033764 0.12672 0.75893 -0.72220 5.7953e-007 0.91824 0.049900 5.2021 Gradients: -3531.4 123.06 77.635 -66.029 -197.47 -233.53 -172.36 291.40 165.50 -86.256 -296.08 -328.36 3.9813e+006 120.67 158.52 0.69257 (norm 9.08e+000) Iteration 58: loglikelihood = 4090.33436548 (steplength = 0.0016) Parameters: 0.00054387 1.0253 -0.034563 -0.17768 -0.65507 0.77173 0.012343 -0.89280 0.031569 0.12773 0.75847 -0.71916 5.5475e-007 0.92008 0.049616 5.2019 Gradients: -3339.3 123.25 83.945 -58.092 -189.09 -224.64 -165.85 275.53 163.68 -77.751 -282.48 -316.60 4.1362e+006 118.05 151.65 0.66728 (norm 8.89e+000) Iteration 59: loglikelihood = 4090.42759337 (steplength = 0.008) Parameters: 0.00057028 1.0131 -0.018727 -0.18777 -0.64924 0.76318 0.018904 -0.88594 0.019704 0.14646 0.74359 -0.71108 5.3989e-007 0.92143 0.049231 5.2005 Gradients: -3067.6 142.32 102.68 -52.795 -177.84 -228.73 -174.00 289.21 182.17 -73.914 -270.06 -327.74 4.1288e+006 113.39 144.75 0.63722 (norm 8.92e+000) Iteration 60: loglikelihood = 4090.67127256 (steplength = 0.0016) Parameters: 0.00059373 0.99752 0.0082165 -0.21313 -0.63238 0.75099 0.025984 -0.87832 0.0069273 0.16273 0.73302 -0.70608 5.3081e-007 0.92181 0.049604 5.1983 Gradients: -2674.8 159.25 117.88 -32.757 -171.22 -225.56 -177.91 297.12 195.12 -52.839 -263.60 -329.60 3.7906e+006 102.80 130.53 0.57413 (norm 8.85e+000) Iteration 61: loglikelihood = 4091.30782298 (steplength = 0.008) Parameters: 0.00053417 0.99482 0.049124 -0.27704 -0.60095 0.76608 0.011091 -0.87210 -0.036913 0.21473 0.70665 -0.71415 4.8192e-007 0.92611 0.048220 5.1932 Gradients: -3094.8 196.55 157.61 -18.414 -198.33 -275.73 -224.65 347.61 260.22 -14.385 -274.46 -376.65 3.8442e+006 94.457 123.31 0.53364 (norm 9.42e+000) Iteration 62: loglikelihood = 4091.88063002 (steplength = 0.008) Parameters: 0.00051458 0.99161 0.064554 -0.29710 -0.59442 0.77328 0.0071516 -0.87003 -0.050863 0.23132 0.70020 -0.71959 4.3936e-007 0.92988 0.046986 5.1911 Gradients: -3259.4 260.50 236.85 30.253 -211.60 -342.42 -303.87 388.77 349.24 71.948 -242.85 -415.20 3.9557e+006 84.963 114.66 0.49338 (norm 1.00e+001) Iteration 63: loglikelihood = 4091.90361508 (steplength = 2.09715e-015) Parameters: 0.00051458 0.99161 0.064554 -0.29710 -0.59442 0.77328 0.0071516 -0.87003 -0.050863 0.23132 0.70020 -0.71959 4.4766e-007 0.92988 0.046986 5.1911 Gradients: -2704.8 265.43 241.94 36.163 -204.87 -335.05 -296.74 387.71 348.39 71.951 -242.02 -413.70 1.6313e+006 50.053 86.890 0.34719 (norm 9.89e+000) Iteration 64: loglikelihood = 4091.90714616 (steplength = 8.192e-010) Parameters: 0.00051268 0.99161 0.064554 -0.29710 -0.59442 0.77328 0.0071513 -0.87003 -0.050863 0.23132 0.70020 -0.71959 4.4720e-007 0.92988 0.046986 5.1911 Gradients: -1032.0 283.90 259.97 53.933 -187.01 -316.83 -278.02 388.26 348.61 71.960 -241.98 -413.47 1.6311e+006 49.897 86.609 0.32395 (norm 9.89e+000) Iteration 65: loglikelihood = 4093.57669586 (steplength = 2.56e-006) Parameters: 0.00051628 0.99249 0.065358 -0.29691 -0.59495 0.77238 0.0063608 -0.86888 -0.049828 0.23153 0.69949 -0.72082 4.3990e-007 0.92996 0.047185 5.1911 Gradients: -1279.7 -54.128 92.281 160.28 133.27 31.603 -111.67 68.914 252.54 254.42 109.94 -100.50 1.7547e+006 46.032 82.965 0.26851 (norm 5.82e+000) Iteration 66: loglikelihood = 4094.12815278 (steplength = 2.56e-006) Parameters: 0.00050541 0.99245 0.065777 -0.29634 -0.59454 0.77243 0.0059709 -0.86854 -0.048921 0.23236 0.69976 -0.72127 4.3543e-007 0.93003 0.047402 5.1911 Gradients: -1057.4 -197.38 -123.42 -2.0622 116.99 170.19 93.053 53.864 112.15 70.827 -9.0961 -84.680 1.5559e+006 38.468 76.209 0.20618 (norm 6.04e+000) Iteration 67: loglikelihood = 4094.48201569 (steplength = 2.56e-006) Parameters: 0.00050115 0.99204 0.065617 -0.29623 -0.59421 0.77282 0.0061113 -0.86803 -0.048218 0.23270 0.69955 -0.72190 4.3082e-007 0.93010 0.047664 5.1911 Gradients: -1035.9 -274.80 -165.92 15.107 182.70 244.39 128.76 -83.385 14.761 71.291 89.010 52.121 1.4703e+006 34.776 69.539 0.16029 (norm 7.13e+000) Iteration 68: loglikelihood = 4094.50306874 (steplength = 6.4e-005) Parameters: 0.00051351 0.98992 0.066238 -0.29492 -0.59311 0.77327 0.0038612 -0.86884 -0.048362 0.23122 0.69795 -0.72288 3.7438e-007 0.93118 0.051041 5.1911 Gradients: -326.16 -117.52 -107.80 -45.360 52.582 133.44 121.28 -5.8185 75.230 85.208 50.055 -14.892 2.0873e+006 0.87641 5.2601 0.0067492 (norm 4.66e+000) Iteration 69: loglikelihood = 4094.53524715 (steplength = 6.4e-005) Parameters: 0.00053956 0.98932 0.066314 -0.29557 -0.59387 0.77338 0.0033411 -0.87003 -0.047672 0.23136 0.69787 -0.72329 3.7168e-007 0.93066 0.051924 5.1911 Gradients: -455.03 -119.30 -104.82 -27.458 84.167 168.87 150.64 -4.3265 68.931 80.254 51.859 -5.2458 2.2189e+006 -3.4506 -4.2317 -0.025612 (norm 4.90e+000) Iteration 70: loglikelihood = 4094.72699782 (steplength = 0.00032) Parameters: 0.00047383 0.98900 0.072529 -0.29764 -0.59741 0.77944 0.0032973 -0.88053 -0.041920 0.22926 0.69458 -0.72683 4.2769e-007 0.92248 0.057522 5.1911 Gradients: -563.51 -129.59 -118.10 -27.212 79.939 140.56 118.04 10.185 76.600 100.59 63.822 -19.167 2.5651e+006 15.991 -1.6085 0.054000 (norm 5.08e+000) Iteration 71: loglikelihood = 4094.73307453 (steplength = 6.4e-005) Parameters: 0.00047612 0.98891 0.072500 -0.29762 -0.59734 0.77960 0.0029673 -0.88088 -0.041957 0.22913 0.69457 -0.72731 4.3737e-007 0.92205 0.057239 5.1911 Gradients: -524.26 -124.27 -117.80 -29.974 77.219 141.38 123.71 9.2003 73.173 97.839 63.623 -15.803 2.4728e+006 19.254 3.8906 0.066032 (norm 5.04e+000) Iteration 72: loglikelihood = 4094.75462511 (steplength = 0.0016) Parameters: 0.00041834 0.99526 0.069470 -0.29869 -0.59588 0.78437 0.00015894 -0.88749 -0.045665 0.22802 0.69954 -0.73988 4.3809e-007 0.92092 0.058529 5.1910 Gradients: -474.41 -130.84 -120.51 -32.978 68.448 140.41 114.85 17.691 80.636 97.429 55.092 -10.708 2.6255e+006 18.836 0.94825 0.058540 (norm 5.04e+000) Iteration 73: loglikelihood = 4094.80124340 (steplength = 0.0016) Parameters: 0.00040829 1.0003 0.065879 -0.29903 -0.59808 0.79267 -0.0060862 -0.88841 -0.046293 0.22709 0.70151 -0.74267 4.3747e-007 0.92094 0.058555 5.1909 Gradients: -399.13 -129.96 -120.50 -34.561 65.507 136.52 117.37 18.589 78.973 94.512 51.265 -13.973 2.6278e+006 19.265 0.98276 0.061605 (norm 5.02e+000) Iteration 74: loglikelihood = 4094.80786191 (steplength = 0.0016) Parameters: 0.00040009 1.0008 0.064666 -0.29614 -0.60123 0.79475 -0.0063821 -0.88953 -0.046925 0.22769 0.70125 -0.74407 4.2993e-007 0.92200 0.057864 5.1909 Gradients: -321.26 -130.04 -120.95 -37.923 67.104 136.58 117.74 19.669 78.760 91.033 53.838 -12.625 2.5856e+006 17.349 0.97074 0.060817 (norm 5.03e+000) Iteration 75: loglikelihood = 4095.07989736 (steplength = 0.04) Parameters: 0.00041124 0.98918 0.054280 -0.23932 -0.66746 0.81990 -0.0012702 -0.88120 -0.034128 0.17863 0.75978 -0.76874 3.9442e-007 0.92660 0.055123 5.1890 Gradients: -13.950 -140.29 -139.34 -40.837 76.984 159.22 144.73 6.1406 48.645 75.011 50.481 5.6149 2.2931e+006 4.2906 -2.6104 0.046343 (norm 5.04e+000) Iteration 76: loglikelihood = 4095.22554250 (steplength = 0.0016) Parameters: 0.00045540 0.97253 0.028967 -0.13898 -0.77731 0.85784 0.0078025 -0.85936 -0.022494 0.10528 0.85519 -0.80695 4.8813e-007 0.91356 0.063812 5.1859 Gradients: -559.92 -207.85 -168.78 -37.416 115.61 226.02 175.06 -56.394 3.0075 48.894 57.742 63.134 2.5635e+006 22.877 -2.5928 0.12293 (norm 6.49e+000) Iteration 77: loglikelihood = 4095.29984614 (steplength = 0.04) Parameters: 0.00046331 0.95848 0.050927 -0.14518 -0.79244 0.87146 0.0068003 -0.84560 -0.042371 0.11271 0.86592 -0.81537 4.9036e-007 0.91333 0.063979 5.1875 Gradients: -738.86 -246.88 -192.15 -36.149 140.21 262.83 193.99 -93.940 -21.028 31.528 63.213 101.06 2.4976e+006 21.449 -4.2005 0.11735 (norm 7.23e+000) Iteration 78: loglikelihood = 4096.02675827 (steplength = 0.04) Parameters: 0.00047379 0.95775 0.057924 -0.16209 -0.78049 0.86986 0.0060214 -0.84471 -0.046354 0.12802 0.85326 -0.80973 4.8917e-007 0.91402 0.063438 5.1955 Gradients: -2747.5 -567.47 -318.43 104.48 459.92 545.80 270.61 -283.61 -173.32 19.297 203.78 286.93 1.7080e+006 10.661 -13.857 -0.0017076 (norm 1.14e+001) Iteration 79: loglikelihood = 4096.29511244 (steplength = 0.008) Parameters: 0.00047664 0.95730 0.060325 -0.16742 -0.77674 0.86954 0.0056828 -0.84416 -0.047849 0.13283 0.84945 -0.80811 4.8880e-007 0.91435 0.063127 5.1972 Gradients: -4548.4 -636.05 -231.83 285.81 618.84 572.06 141.41 -313.98 -123.54 120.49 296.86 309.99 1.5394e+006 9.2982 -15.321 -0.0073310 (norm 1.24e+001) Iteration 80: loglikelihood = 4096.57853544 (steplength = 0.008) Parameters: 0.00048075 0.95665 0.064721 -0.17747 -0.76888 0.86816 0.0050765 -0.84346 -0.050561 0.14193 0.84158 -0.80472 4.8948e-007 0.91475 0.062691 5.1997 Gradients: -10392. -536.80 313.55 918.03 929.75 328.26 -532.32 -332.92 32.259 358.11 475.97 311.99 1.4745e+006 10.562 -15.240 0.037372 (norm 1.30e+001) Iteration 81: loglikelihood = 4096.84097552 (steplength = 0.2) Parameters: 0.00048071 0.95645 0.075101 -0.20061 -0.74817 0.86230 0.0031849 -0.84339 -0.057909 0.16096 0.82187 -0.79609 4.9311e-007 0.91564 0.061430 5.2058 Gradients: -8320.4 -208.21 439.85 776.40 615.65 29.253 -612.89 -200.34 179.54 436.85 441.32 171.68 7.1519e+005 2.1192 -17.445 -0.024504 (norm 1.01e+001) Iteration 82: loglikelihood = 4097.39499958 (steplength = 1) Parameters: 0.00044186 0.96095 0.11565 -0.30324 -0.64875 0.82844 -0.0014012 -0.85310 -0.082742 0.23968 0.73799 -0.76318 4.9646e-007 0.92206 0.054128 5.0992 Gradients: -4680.1 -1141.1 -681.75 178.58 892.23 1052.8 536.12 -211.35 -221.34 -94.429 81.658 207.04 -2.1999e+006 -21.721 -2.6626 -0.057838 (norm 1.40e+001) Iteration 83: loglikelihood = 4097.78194509 (steplength = 0.2) Parameters: 0.00043360 0.96368 0.11915 -0.32059 -0.62813 0.81974 -0.0014908 -0.85747 -0.082942 0.25352 0.71990 -0.75526 4.9929e-007 0.92339 0.052450 5.0772 Gradients: -6839.4 -607.38 4.3448 587.82 765.19 439.13 -196.01 -164.24 27.498 208.18 253.04 142.51 -2.6629e+006 -22.505 5.5897 -0.00086300 (norm 1.15e+001) Iteration 84: loglikelihood = 4097.83828281 (steplength = 0.2) Parameters: 0.00042265 0.97117 0.12473 -0.35894 -0.58046 0.79876 -0.0020183 -0.86715 -0.084686 0.28681 0.67693 -0.73621 5.1569e-007 0.92274 0.052101 5.0450 Gradients: -11599. 2527.6 3338.4 2055.1 -528.18 -2933.2 -3571.1 -356.36 505.56 1063.2 970.00 282.57 -2.3201e+006 -10.835 19.476 0.16396 (norm 2.21e+001) Iteration 85: loglikelihood = 4097.98924314 (steplength = 0.2) Parameters: 0.00042165 0.97411 0.11760 -0.35254 -0.58123 0.79644 -0.0010300 -0.87044 -0.079290 0.28272 0.67712 -0.73557 5.1896e-007 0.92184 0.052829 5.0540 Gradients: 13209. 2832.0 1999.9 3.5083 -1933.9 -2698.5 -1718.0 348.10 903.10 914.81 371.71 -404.68 -2.3626e+006 -14.157 15.368 0.068780 (norm 2.16e+001) Iteration 86: loglikelihood = 4098.42253007 (steplength = 0.2) Parameters: 0.00042873 0.97841 0.10838 -0.34654 -0.57963 0.79208 0.00013651 -0.87455 -0.073641 0.27992 0.67584 -0.73423 5.2050e-007 0.91994 0.054720 5.0900 Gradients: 4767.7 484.22 259.52 -105.51 -386.76 -429.90 -184.39 236.60 441.77 378.37 91.680 -261.36 -1.8295e+006 -11.319 7.4561 -0.0047916 (norm 1.04e+001) Iteration 87: loglikelihood = 4098.52151645 (steplength = 0.2) Parameters: 0.00042904 0.98137 0.10526 -0.34925 -0.57264 0.78781 0.00030010 -0.87790 -0.070725 0.28235 0.66997 -0.73123 5.1985e-007 0.91955 0.055154 5.0957 Gradients: 3660.4 -113.50 -264.15 -239.75 -57.113 171.67 308.27 249.62 304.54 174.20 -54.970 -262.24 -1.6328e+006 -9.7729 6.3905 -0.016703 (norm 7.59e+000) Iteration 88: loglikelihood = 4098.65892148 (steplength = 0.2) Parameters: 0.00043264 0.98544 0.097867 -0.34593 -0.56994 0.78472 0.00041223 -0.88204 -0.064353 0.27957 0.66809 -0.72952 5.1542e-007 0.91888 0.056135 5.1099 Gradients: -2420.7 -711.68 -485.56 24.169 504.35 668.89 402.54 127.46 101.73 13.204 -75.924 -131.36 -1.1234e+006 -5.8999 3.4299 -0.021169 (norm 1.07e+001) Iteration 89: loglikelihood = 4098.84492370 (steplength = 0.2) Parameters: 0.00043519 0.99201 0.085298 -0.33889 -0.56696 0.78009 0.00084765 -0.88879 -0.053202 0.27318 0.66673 -0.72749 5.0571e-007 0.91853 0.057103 5.1202 Gradients: -12277. -1342.8 -512.68 574.11 1253.0 1120.3 227.78 -82.815 -166.90 -151.30 -36.821 87.286 -4.0775e+005 -0.21849 1.1260 -0.0069220 (norm 1.45e+001) Iteration 90: loglikelihood = 4099.08669834 (steplength = 0.2) Parameters: 0.00043774 1.0019 0.064740 -0.32423 -0.56629 0.77444 0.0016935 -0.89868 -0.035111 0.25995 0.66825 -0.72587 4.9124e-007 0.91798 0.058598 5.1303 Gradients: -29510. -1426.4 425.37 1883.2 2066.1 846.55 -1043.6 -541.04 -471.89 -120.00 310.63 540.76 7.6648e+005 9.7061 -0.77085 0.039742 (norm 1.78e+001) Iteration 91: loglikelihood = 4099.28767418 (steplength = 0.2) Parameters: 0.00043536 1.0115 0.046504 -0.31369 -0.56204 0.76759 0.0026055 -0.90854 -0.018657 0.24960 0.66718 -0.72351 4.7731e-007 0.91780 0.059699 5.1245 Gradients: -39943. -1042.9 1391.0 2794.4 2328.3 233.66 -2197.6 -862.37 -618.72 -4.2203 616.53 854.04 1.7678e+006 17.849 -1.2388 0.089137 (norm 1.83e+001) Iteration 92: loglikelihood = 4099.49586681 (steplength = 0.2) Parameters: 0.00042842 1.0211 0.029884 -0.30644 -0.55470 0.75965 0.0035525 -0.91854 -0.0034149 0.24168 0.66379 -0.72048 4.6470e-007 0.91780 0.060557 5.1093 Gradients: -37095. -450.58 1796.0 2779.8 1920.0 -312.40 -2524.7 -852.99 -497.16 156.71 717.75 839.05 2.5598e+006 23.464 -1.7166 0.12134 (norm 1.70e+001) Iteration 93: loglikelihood = 4099.69342225 (steplength = 0.2) Parameters: 0.00041439 1.0346 0.0093293 -0.30288 -0.53735 0.74516 0.0054257 -0.93306 0.016642 0.23635 0.65251 -0.71298 4.5511e-007 0.91841 0.060554 5.0851 Gradients: -92214. -4878.7 343.68 4936.2 6095.5 3134.2 -2247.0 -1539.0 -2141.6 -1447.4 115.96 1597.2 2.9893e+006 27.353 -0.42709 0.15264 (norm 3.09e+001) Iteration 94: loglikelihood = 4100.05739559 (steplength = 0.2) Parameters: 0.00038603 1.0578 -0.031727 -0.28197 -0.52296 0.72737 0.0081691 -0.95696 0.054385 0.21516 0.64636 -0.70636 4.4101e-007 0.91825 0.061790 5.0405 Gradients: -1.0631e+005 5784.0 11388. 9530.0 1481.2 -8249.0 -13294. -4000.4 -1565.4 1790.6 4036.6 3840.1 4.2323e+006 38.957 3.5498 0.29398 (norm 4.01e+001) Iteration 95: loglikelihood = 4100.26609065 (steplength = 0.04) Parameters: 0.00037236 1.0660 -0.042644 -0.28238 -0.51081 0.71887 0.0087930 -0.96561 0.064574 0.21372 0.63865 -0.70251 4.3420e-007 0.91826 0.062304 5.0160 Gradients: -10541. 7769.9 8604.4 4132.4 -2810.9 -8307.5 -8606.8 -1984.6 523.08 2695.1 3222.7 1819.4 4.5161e+006 39.053 2.0587 0.26861 (norm 3.81e+001) Iteration 96: loglikelihood = 4100.29887757 (steplength = 2.09715e-015) Parameters: 0.00037236 1.0660 -0.042644 -0.28238 -0.51081 0.71887 0.0087930 -0.96561 0.064574 0.21372 0.63865 -0.70251 4.4367e-007 0.91826 0.062304 5.0160 Gradients: -8513.7 7745.8 8512.4 4039.6 -2838.2 -8239.2 -8475.0 -1942.3 548.82 2689.2 3189.0 1778.8 2.4419e+006 9.0968 -20.257 0.10884 (norm 3.79e+001) Iteration 97: loglikelihood = 4100.30743319 (steplength = 3.2768e-011) Parameters: 0.00037216 1.0660 -0.042643 -0.28238 -0.51081 0.71887 0.0087927 -0.96561 0.064574 0.21372 0.63865 -0.70251 4.4342e-007 0.91826 0.062304 5.0160 Gradients: 16924. 8041.8 7575.3 2563.9 -3841.4 -8015.8 -7040.5 -1360.0 1074.9 2843.4 2882.4 1200.9 2.4423e+006 8.9050 -20.285 0.096501 (norm 3.72e+001) Iteration 98: loglikelihood = 4100.36052453 (steplength = 3.2768e-011) Parameters: 0.00037236 1.0660 -0.042641 -0.28238 -0.51081 0.71887 0.0087909 -0.96561 0.064575 0.21372 0.63865 -0.70251 4.4329e-007 0.91826 0.062304 5.0160 Gradients: -3686.1 3943.6 4551.1 2370.4 -1217.3 -4177.8 -4514.9 -982.03 379.49 1504.1 1711.8 901.33 2.4459e+006 8.9549 -20.506 0.087347 (norm 2.71e+001) Iteration 99: loglikelihood = 4100.42184699 (steplength = 1.024e-007) Parameters: 0.00038137 1.0660 -0.042613 -0.28231 -0.51074 0.71890 0.0087630 -0.96561 0.064590 0.21374 0.63866 -0.70251 4.4646e-007 0.91826 0.062299 5.0160 Gradients: -5646.2 4138.3 4199.0 1651.1 -1902.4 -4443.0 -4229.5 -805.55 606.15 1641.8 1676.0 713.39 2.4677e+006 11.067 -17.612 0.25586 (norm 2.74e+001) Iteration 100: loglikelihood = 4100.61087060 (steplength = 5.12e-007) Parameters: 0.00037937 1.0660 -0.042598 -0.28224 -0.51067 0.71894 0.0087384 -0.96549 0.064817 0.21394 0.63872 -0.70263 4.4674e-007 0.91824 0.062269 5.0160 Gradients: -42674. 4314.3 6132.0 3981.0 -750.46 -5397.4 -6866.4 -1817.7 -175.27 1557.6 2331.4 1705.8 2.5301e+006 12.509 -16.740 0.26495 (norm 3.07e+001) Iteration 101: loglikelihood = 4100.62818708 (steplength = 2.56e-006) Parameters: 0.00037925 1.0660 -0.042613 -0.28226 -0.51067 0.71897 0.0087984 -0.96558 0.064832 0.21406 0.63884 -0.70254 4.4924e-007 0.91818 0.062150 5.0160 Gradients: -89740. 281.50 4405.3 5395.1 2697.1 -2181.9 -6148.7 -2081.4 -1397.1 122.22 1548.1 2038.3 2.5360e+006 14.228 -14.580 0.29045 (norm 2.45e+001) Iteration 102: loglikelihood = 4100.66871067 (steplength = 6.4e-005) Parameters: 0.00035050 1.0665 -0.042080 -0.28202 -0.51065 0.71923 0.0096607 -0.96562 0.064929 0.21424 0.63839 -0.70242 5.1794e-007 0.91616 0.058400 5.0160 Gradients: -30976. 3952.4 5236.8 3139.3 -995.97 -4836.5 -5812.9 -1432.6 48.839 1484.6 2005.0 1321.2 2.8253e+006 54.904 46.261 0.52879 (norm 2.89e+001) Iteration 103: loglikelihood = 4100.66950003 (steplength = 6.4e-005) Parameters: 0.00038082 1.0655 -0.042375 -0.28209 -0.51088 0.71868 0.0090172 -0.96599 0.064904 0.21445 0.63798 -0.70248 5.3591e-007 0.91579 0.057248 5.0160 Gradients: -53238. 3258.3 5606.8 4256.1 98.403 -4528.5 -6581.4 -1838.3 -451.85 1194.4 2101.3 1744.7 2.9757e+006 63.422 60.460 0.56770 (norm 2.85e+001) Iteration 104: loglikelihood = 4100.69908767 (steplength = 0.0016) Parameters: 0.00036404 1.0626 -0.039529 -0.28028 -0.51241 0.71631 0.012816 -0.96990 0.065797 0.21919 0.63034 -0.70060 4.9809e-007 0.92041 0.054574 5.0161 Gradients: -54191. 3544.8 5893.2 4360.7 -38.584 -4851.3 -6890.4 -1893.2 -428.02 1284.5 2212.9 1799.6 2.9966e+006 61.214 64.368 0.57030 (norm 2.93e+001) Iteration 105: loglikelihood = 4100.72651676 (steplength = 0.0016) Parameters: 0.00037141 1.0612 -0.038190 -0.28247 -0.50876 0.71208 0.014761 -0.96840 0.066252 0.22116 0.62727 -0.69663 4.8429e-007 0.92224 0.053406 5.0162 Gradients: -81171. 1948.8 5608.1 5434.0 1605.3 -3751.3 -7164.9 -2216.4 -1078.2 700.55 2044.1 2141.4 3.0362e+006 61.387 67.152 0.56872 (norm 2.81e+001) Iteration 106: loglikelihood = 4100.75062351 (steplength = 0.0016) Parameters: 0.00036135 1.0607 -0.036185 -0.28676 -0.50220 0.70681 0.017183 -0.97028 0.065585 0.22504 0.62253 -0.69597 4.9683e-007 0.92057 0.054440 5.0163 Gradients: -1.2319e+005 -2515.7 3222.6 6393.0 5094.0 26.862 -5702.7 -2243.3 -2210.3 -842.90 1023.3 2253.5 3.0427e+006 61.969 65.028 0.55827 (norm 2.75e+001) Iteration 107: loglikelihood = 4100.76046406 (steplength = 0.008) Parameters: 0.00035920 1.0663 -0.031124 -0.30893 -0.48388 0.70844 0.0089862 -0.97411 0.062657 0.24475 0.59754 -0.68435 5.3585e-007 0.91559 0.057547 5.0168 Gradients: -2.1380e+005 -10605. -367.94 9082.9 11948. 6567.8 -4056.3 -2709.0 -4636.9 -3744.0 -601.30 2856.0 3.0630e+006 64.629 57.708 0.57059 (norm 4.39e+001) Iteration 108: loglikelihood = 4100.77827061 (steplength = 0.0016) Parameters: 0.00034837 1.0694 -0.031066 -0.31535 -0.47739 0.70881 0.0063563 -0.97457 0.058242 0.25170 0.59210 -0.68429 5.1362e-007 0.91837 0.055858 5.0170 Gradients: -2.1786e+005 -15348. -4677.6 7829.1 14445. 11413. 43.166 -1789.3 -5094.3 -5291.0 -2291.3 2042.3 3.0419e+006 63.773 60.545 0.55607 (norm 5.02e+001) Iteration 109: loglikelihood = 4100.86720658 (steplength = 0.04) Parameters: 0.00036196 1.0545 -0.0049660 -0.33104 -0.48073 0.71478 0.0067674 -0.95633 0.027190 0.27470 0.59111 -0.68769 5.4392e-007 0.91448 0.058296 5.0212 Gradients: -1.5896e+005 -13161. -5225.2 5151.4 11560. 10361. 1782.6 -815.52 -3751.3 -4404.9 -2378.8 1039.1 2.8468e+006 60.381 51.700 0.50351 (norm 4.54e+001) Iteration 110: loglikelihood = 4101.05622723 (steplength = 0.0016) Parameters: 0.00036529 1.0287 0.044651 -0.36408 -0.48392 0.72741 0.0060564 -0.93338 -0.014205 0.30309 0.59305 -0.69618 5.4433e-007 0.91419 0.058669 5.0279 Gradients: 53640. -11016. -12434. -5978.7 4234.1 12496. 13085. 3637.3 382.92 -3070.5 -4616.0 -3377.7 2.4014e+006 51.607 43.160 0.37950 (norm 4.66e+001) Iteration 111: loglikelihood = 4101.28751831 (steplength = 0.04) Parameters: 0.00037083 1.0197 0.060805 -0.37393 -0.48587 0.73149 0.0060608 -0.92420 -0.029128 0.31242 0.59549 -0.69973 5.3635e-007 0.91496 0.058395 5.0475 Gradients: 1.7492e+005 396.54 -6872.0 -9110.6 -5027.6 3117.9 10145. 3912.5 3493.7 967.64 -2091.5 -3864.9 1.9469e+006 42.347 35.543 0.28155 (norm 3.27e+001) Iteration 112: loglikelihood = 4101.51415728 (steplength = 0.04) Parameters: 0.00038126 1.0051 0.087504 -0.39130 -0.48766 0.73741 0.0061785 -0.91069 -0.051440 0.32697 0.59824 -0.70429 5.2643e-007 0.91595 0.058053 5.0643 Gradients: 81330. 10336. 6454.7 -1020.3 -7397.8 -9119.1 -4661.2 -436.73 2463.3 3834.2 2895.7 220.43 1.5557e+006 33.847 27.947 0.23378 (norm 3.99e+001) Iteration 113: loglikelihood = 4101.74039537 (steplength = 0.2) Parameters: 0.00038036 0.99551 0.11173 -0.41354 -0.48453 0.74617 0.0018486 -0.90052 -0.072415 0.34348 0.59707 -0.70831 4.9308e-007 0.91953 0.056523 5.0801 Gradients: -2.1591e+005 11576. 19989. 15095. 204.32 -16452. -23743. -7450.5 -3013.5 3169.7 7373.9 7087.3 7.8137e+005 16.538 13.419 0.15541 (norm 5.59e+001) Iteration 114: loglikelihood = 4101.94249583 (steplength = 0.2) Parameters: 0.00037053 0.99080 0.12896 -0.43343 -0.47798 0.75240 -0.0027410 -0.89509 -0.087515 0.35780 0.59268 -0.71074 4.6506e-007 0.92246 0.055394 5.0868 Gradients: -1.4169e+005 11693. 17072. 11290. -1842.8 -15061. -19413. -5858.1 -1642.3 3499.8 6470.8 5516.5 -2.0025e+005 -4.9237 -4.3627 0.015991 (norm 5.33e+001) Iteration 115: loglikelihood = 4102.06443193 (steplength = 0.0016) Parameters: 0.00036367 0.98838 0.13858 -0.44504 -0.47367 0.75570 -0.0053777 -0.89226 -0.095985 0.36626 0.58971 -0.71202 4.4919e-007 0.92408 0.054807 5.0903 Gradients: 58653. 9777.2 7360.4 705.81 -6001.8 -9014.3 -6003.0 -1078.8 1822.1 3586.0 3169.7 863.82 -8.9528e+005 -20.091 -16.931 -0.089336 (norm 4.00e+001) Iteration 116: loglikelihood = 4102.08718912 (steplength = 0.2) Parameters: 0.00033220 1.0070 0.11979 -0.44963 -0.45706 0.75552 -0.014504 -0.90711 -0.079054 0.36294 0.57907 -0.70792 3.8485e-007 0.93058 0.052544 5.0995 Gradients: 2.1175e+006 8322.7 -69916. -95034. -52885. 33762. 1.0944e+005 41711. 36321. 9194.4 -23054. -40944. -4.0544e+006 -92.229 -75.564 -0.54575 (norm 1.11e+002) Iteration 117: loglikelihood = 4102.15570280 (steplength = 0.04) Parameters: 0.00033184 1.0099 0.11490 -0.44734 -0.45567 0.75411 -0.014767 -0.90973 -0.074292 0.36008 0.57838 -0.70671 3.8014e-007 0.93105 0.052391 5.1025 Gradients: 1.6424e+006 -27909. -86207. -83613. -23272. 61957. 1.1581e+005 40511. 25918. -4019.5 -31095. -39054. -4.2411e+006 -97.093 -80.505 -0.55885 (norm 1.18e+002) Iteration 118: loglikelihood = 4102.52563275 (steplength = 0.04) Parameters: 0.00032319 1.0328 0.073959 -0.42319 -0.45009 0.74441 -0.016011 -0.93046 -0.036972 0.33585 0.57528 -0.69891 3.6533e-007 0.93245 0.052036 5.1034 Gradients: -4.6942e+005 -34262. -14065. 12597. 29078. 26284. 4325.0 -1669.2 -10228. -12496. -7224.0 2322.2 -4.7023e+006 -110.93 -94.123 -0.53771 (norm 7.36e+001) Iteration 119: loglikelihood = 4102.62392394 (steplength = 0.2) Parameters: 0.00032864 1.0221 0.093262 -0.43467 -0.45286 0.74941 -0.015789 -0.92147 -0.052764 0.34565 0.57745 -0.70271 3.9404e-007 0.92933 0.053223 5.1237 Gradients: -4.6538e+005 -22283. -3138.5 15762. 22728. 13894. -6158.0 -4398.8 -9304.1 -8528.5 -2648.7 4747.6 -3.5235e+006 -80.073 -69.551 -0.44317 (norm 6.29e+001) Iteration 120: loglikelihood = 4102.69443557 (steplength = 0.2) Parameters: 0.00032856 1.0169 0.10379 -0.44217 -0.45322 0.75256 -0.016401 -0.91704 -0.061494 0.35173 0.57801 -0.70507 4.0471e-007 0.92821 0.053600 5.1280 Gradients: -1.1564e+006 -42114. 2941.3 40720. 48049. 20765. -25624. -13633. -22121. -17168. -1986.0 14169. -2.9216e+006 -65.877 -58.183 -0.36530 (norm 9.03e+001) Iteration 121: loglikelihood = 4102.87830969 (steplength = 0.2) Parameters: 0.00032578 1.0033 0.13128 -0.46005 -0.45736 0.76330 -0.018555 -0.90422 -0.087680 0.36907 0.58071 -0.71277 4.2606e-007 0.92622 0.053885 5.1312 Gradients: -1.1812e+006 25139. 66579. 61421. 14039. -49790. -87614. -30257. -17968. 4929.4 24486. 29040. -1.4778e+006 -32.858 -27.545 -0.18107 (norm 1.04e+002) Iteration 122: loglikelihood = 4103.02267322 (steplength = 0.2) Parameters: 0.00032179 0.99615 0.14657 -0.47095 -0.45823 0.76868 -0.019761 -0.89765 -0.10248 0.37969 0.58107 -0.71715 4.4504e-007 0.92422 0.054503 5.1475 Gradients: -59846. 75840. 74823. 27471. -35788. -80313. -73616. -20077. 3691.9 24868. 30751. 18092. -8.2257e+005 -16.365 -12.285 -0.13930 (norm 1.22e+002) Iteration 123: loglikelihood = 4103.18784937 (steplength = 0.2) Parameters: 0.00031465 0.98919 0.16080 -0.48055 -0.45860 0.77236 -0.019835 -0.89151 -0.11760 0.39147 0.58013 -0.72162 4.7604e-007 0.92100 0.055580 5.1546 Gradients: 2.2796e+006 13441. -65523. -93220. -53976. 31238. 1.0780e+005 41876. 37557. 10764. -22058. -41063. 53532. 5.6235 7.4439 -0.095817 (norm 1.14e+002) Iteration 124: loglikelihood = 4103.20100359 (steplength = 1) Parameters: 0.00030657 0.99753 0.13709 -0.45650 -0.46303 0.76296 -0.014021 -0.90034 -0.099832 0.37932 0.57968 -0.71790 5.0481e-007 0.91794 0.057212 5.0902 Gradients: -3.8594e+006-2.1305e+005 -68223. 1.0021e+005 1.8750e+005 1.4549e+005 -9489.2 -24279. -76187. -81457. -37700. 27972. 1.3689e+006 31.846 24.653 0.25529 (norm 1.89e+002) Iteration 125: loglikelihood = 4103.25321239 (steplength = 1) Parameters: 0.00030690 1.0103 0.10789 -0.43161 -0.46793 0.75722 -0.012450 -0.91332 -0.071103 0.35824 0.58102 -0.71062 4.8499e-007 0.91976 0.057238 5.0461 Gradients: -3.8131e+005 1.8607e+005 1.9062e+005 75928. -83884.-2.0173e+005 -1.9183e+005 -53899. 5460.0 60535. 78340. 48805. -36461. 1.9656 -0.46768 0.084933 (norm 1.92e+002) Iteration 126: loglikelihood = 4103.44956203 (steplength = 1) Parameters: 0.00031237 0.99688 0.13940 -0.45937 -0.46324 0.76531 -0.015809 -0.90116 -0.097612 0.37971 0.57697 -0.71481 4.7010e-007 0.92147 0.055808 5.1058 Gradients: 1.2463e+006 -15558. -56706. -56947. -17268. 40917. 79068. 28320. 18947. -1640.7 -20895. -27270. -2768.4 1.8471 1.3088 -0.052037 (norm 9.68e+001) Iteration 127: loglikelihood = 4103.59789205 (steplength = 1) Parameters: 0.00030695 0.99618 0.13837 -0.45554 -0.46618 0.76525 -0.014517 -0.90063 -0.098065 0.38026 0.57744 -0.71518 4.7870e-007 0.92062 0.056212 5.0693 Gradients: 1.9750e+006 -67716.-1.2960e+005-1.0216e+005 -4850.4 1.0969e+005 1.6359e+005 55009. 26399. -17568. -50220. -52152. 4.5003e+005 11.213 8.9438 0.039828 (norm 1.47e+002) Iteration 128: loglikelihood = 4103.66541749 (steplength = 0.2) Parameters: 0.00030441 0.99404 0.13790 -0.45004 -0.47060 0.76418 -0.011765 -0.89858 -0.099963 0.38168 0.57797 -0.71509 4.8743e-007 0.91987 0.056511 5.0154 Gradients: -3.0986e+006-2.3722e+005-1.2052e+005 55633. 1.8067e+005 1.8612e+005 56145. -2108.3 -64537. -87126. -56989. 6831.7 1.5791e+006 32.272 25.099 0.32978 (norm 1.91e+002) Iteration 129: loglikelihood = 4103.72569151 (steplength = 1.04858e-014) Parameters: 0.00030438 0.99404 0.13790 -0.45004 -0.47060 0.76418 -0.011765 -0.89858 -0.099963 0.38168 0.57797 -0.71509 5.0399e-007 0.91987 0.056511 5.0154 Gradients: -8.0679e+005-1.8228e+005-1.4445e+005 -21439. 1.0830e+005 1.7412e+005 1.2377e+005 28804. -25215. -63153. -62488. -24320. -2.0829e+006 -23.474 -16.224 -0.0031680 (norm 1.77e+002) Iteration 130: loglikelihood = 4103.73922480 (steplength = 1.04858e-014) Parameters: 0.00030436 0.99404 0.13790 -0.45004 -0.47060 0.76418 -0.011765 -0.89858 -0.099963 0.38168 0.57797 -0.71509 4.9029e-007 0.91987 0.056511 5.0154 Gradients: 6.1976e+005-1.4827e+005-1.5957e+005 -69540. 63304. 1.6684e+005 1.6608e+005 48108. -751.56 -48309. -66009. -43769. 7.0421e+005 18.470 15.337 0.19958 (norm 1.75e+002) Iteration 131: loglikelihood = 4103.83858336 (steplength = 1.31072e-012) Parameters: 0.00030436 0.99404 0.13790 -0.45004 -0.47060 0.76418 -0.011765 -0.89858 -0.099963 0.38168 0.57797 -0.71509 4.9024e-007 0.91987 0.056511 5.0154 Gradients: 5.6949e+005 -22148. -39100. -29228. 615.01 34294. 48749. 16336. 7377.5 -5861.3 -15333. -15438. 7.0012e+005 18.205 15.725 0.20997 (norm 8.12e+001) Iteration 132: loglikelihood = 4103.94010971 (steplength = 1.024e-007) Parameters: 0.00031103 0.99401 0.13793 -0.44997 -0.47053 0.76421 -0.011802 -0.89858 -0.099952 0.38170 0.57798 -0.71509 4.9272e-007 0.91987 0.056511 5.0154 Gradients: 1.0274e+005 -43987. -44617. -17277. 20347. 47819. 44987. 13070. -1087.4 -14352. -18754. -11825. 7.0961e+005 19.760 17.896 0.34712 (norm 9.39e+001) Iteration 133: loglikelihood = 4103.96151635 (steplength = 2.048e-008) Parameters: 0.00031156 0.99400 0.13793 -0.44996 -0.47052 0.76421 -0.011810 -0.89857 -0.099937 0.38171 0.57798 -0.71511 4.9304e-007 0.91987 0.056512 5.0154 Gradients: -4.4394e+005 -35945. -19014. 7484.4 26906. 28624. 9640.3 398.10 -9128.6 -13017. -9007.9 330.77 7.1993e+005 20.099 18.216 0.36970 (norm 7.42e+001) Iteration 134: loglikelihood = 4103.96541937 (steplength = 5.12e-007) Parameters: 0.00031367 0.99397 0.13792 -0.44996 -0.47052 0.76419 -0.011858 -0.89856 -0.099946 0.38168 0.57796 -0.71511 4.9295e-007 0.91987 0.056518 5.0154 Gradients: 78568. 11021. 7940.7 311.86 -7011.6 -10039. -6245.6 -1115.6 2311.7 4280.4 3656.7 840.00 7.3073e+005 20.068 18.436 0.37581 (norm 4.25e+001) Iteration 135: loglikelihood = 4104.06877868 (steplength = 2.56e-006) Parameters: 0.00033894 0.99328 0.13758 -0.45008 -0.47064 0.76390 -0.012601 -0.89858 -0.099915 0.38164 0.57799 -0.71512 4.9021e-007 0.91997 0.056623 5.0155 Gradients: -3.0231e+005 23565. 32311. 19676. -5916.0 -30605. -37135. -11855. -2956.7 7552.4 13357. 11033. 7.7191e+005 17.424 14.215 0.34967 (norm 7.62e+001) Iteration 136: loglikelihood = 4104.13690514 (steplength = 0.00032) Parameters: 0.00034826 0.99342 0.13781 -0.45099 -0.47131 0.76584 -0.014357 -0.89599 -0.098458 0.37974 0.57950 -0.71246 4.8160e-007 0.92057 0.056580 5.0155 Gradients: -7.4679e+005 16738. 40563. 35793. 6190.3 -32273. -53737. -18931. -10655. 3866.1 15819. 18055. 7.8813e+005 15.677 10.629 0.34051 (norm 8.24e+001) Iteration 137: loglikelihood = 4104.13978079 (steplength = 6.4e-005) Parameters: 0.00034970 0.99337 0.13784 -0.45102 -0.47141 0.76596 -0.014478 -0.89591 -0.098359 0.37952 0.57972 -0.71246 4.8865e-007 0.92046 0.056106 5.0156 Gradients: -7.9418e+005 16537. 41937. 37668. 7213.8 -32999. -55984. -19818. -11442. 3650.9 16294. 18924. 7.8034e+005 19.301 16.988 0.36091 (norm 8.37e+001) Iteration 138: loglikelihood = 4104.15867107 (steplength = 0.0016) Parameters: 0.00034459 0.99271 0.13897 -0.45038 -0.47361 0.76778 -0.014664 -0.89670 -0.097277 0.37504 0.58494 -0.71624 4.5703e-007 0.92387 0.054316 5.0161 Gradients: -1.0479e+006 3981.3 38470. 44218. 18479. -24913. -57561. -21489. -16258. -1357.9 14098. 20817. 9.3131e+005 16.924 17.516 0.36077 (norm 8.02e+001) Iteration 139: loglikelihood = 4104.17295028 (steplength = 0.0016) Parameters: 0.00034550 0.99203 0.13805 -0.44636 -0.47790 0.76916 -0.014237 -0.89560 -0.097861 0.37286 0.58869 -0.71825 4.5752e-007 0.92378 0.054387 5.0168 Gradients: -1.7938e+006 -6904.7 52803. 71360. 38460. -28296. -85883. -33189. -28908. -7347.7 18249. 32437. 9.6091e+005 17.238 17.313 0.37130 (norm 9.92e+001) Iteration 140: loglikelihood = 4104.18872055 (steplength = 0.0016) Parameters: 0.00034981 0.98954 0.13844 -0.44253 -0.48109 0.76747 -0.011570 -0.89429 -0.096499 0.36886 0.59310 -0.71907 4.7240e-007 0.92203 0.055403 5.0179 Gradients: -1.8651e+006 -8965.3 53223. 73662. 40895. -27556. -87676. -34098. -30251. -8310.1 18237. 33367. 8.8628e+005 17.615 15.886 0.36044 (norm 1.01e+002) Iteration 141: loglikelihood = 4104.20131917 (steplength = 0.0016) Parameters: 0.00035472 0.98629 0.13880 -0.43707 -0.48569 0.76540 -0.0080371 -0.89376 -0.093643 0.36547 0.59517 -0.71792 4.6134e-007 0.92340 0.054550 5.0193 Gradients: -1.9183e+006 -9183.6 54780. 75782. 42051. -28379. -90216. -35166. -31243. -8630.8 18769. 34415. 9.3489e+005 17.160 17.197 0.36412 (norm 1.02e+002) Iteration 142: loglikelihood = 4104.20538664 (steplength = 0.0016) Parameters: 0.00035768 0.98642 0.13705 -0.43495 -0.48590 0.76374 -0.0069741 -0.89296 -0.092924 0.36409 0.59648 -0.71751 4.5265e-007 0.92448 0.053866 5.0202 Gradients: -1.7967e+006 -6786.2 53040. 71557. 38485. -28478. -86175. -33457. -29189. -7473.9 18351. 32701. 9.7230e+005 16.744 18.310 0.35890 (norm 9.89e+001) Iteration 143: loglikelihood = 4104.34921558 (steplength = 0.04) Parameters: 0.00037653 1.0074 0.079110 -0.37921 -0.49741 0.74483 0.0027339 -0.91427 -0.036915 0.31231 0.61371 -0.71077 4.5720e-007 0.92398 0.053932 5.0532 Gradients: 3.9268e+005 -58922. -68297. -33696. 22238. 69178. 73536. 23883. 3828.7 -18174. -28877. -22054. 7.1019e+005 12.946 16.060 0.23387 (norm 1.12e+002) Iteration 144: loglikelihood = 4104.39079481 (steplength = 0.04) Parameters: 0.00037577 1.0180 0.054453 -0.35804 -0.50018 0.73798 0.0053343 -0.92473 -0.014110 0.29221 0.61922 -0.70880 4.5936e-007 0.92361 0.054162 5.0694 Gradients: 1.2128e+006 3421.4 -36668. -48354. -25224. 20358. 58915. 23358. 20818. 5821.2 -12408. -22866. 5.8579e+005 10.876 14.483 0.19328 (norm 7.85e+001) Iteration 145: loglikelihood = 4104.39153458 (steplength = 1) Parameters: 0.00039276 1.0498 -0.025950 -0.27671 -0.53078 0.73097 0.0091581 -0.95388 0.056868 0.21539 0.65681 -0.71397 4.6815e-007 0.92115 0.055570 5.2991 Gradients: -2.1494e+006 1.8507e+005 2.4522e+005 1.4390e+005 -51670.-2.3553e+005 -2.7858e+005 -96643. -32677. 49787. 1.0090e+005 90534. 1.5700e+005 2.2713 2.2098 -0.094921 (norm 2.06e+002) Iteration 146: loglikelihood = 4104.58437741 (steplength = 0.2) Parameters: 0.00040605 1.0407 -0.012113 -0.28067 -0.53947 0.73835 0.0085104 -0.94517 0.044526 0.22003 0.66282 -0.71838 4.6863e-007 0.92099 0.055590 5.3343 Gradients: -1.2331e+005 1.5660e+005 1.5160e+005 52554. -76649.-1.6578e+005 -1.4882e+005 -48883. 1047.5 49474. 67336. 44460. -64963. -1.9348 -1.8434 -0.18730 (norm 1.73e+002) Iteration 147: loglikelihood = 4104.59285721 (steplength = 0.2) Parameters: 0.00043832 1.0328 -0.013086 -0.25808 -0.56834 0.74887 0.010267 -0.93734 0.045805 0.20147 0.68830 -0.72771 4.7133e-007 0.92054 0.055765 5.3975 Gradients: -1.1745e+006-2.3054e+005-1.7834e+005 -21819. 1.3930e+005 2.1727e+005 1.4945e+005 49208. -20408. -76543. -85739. -43281. -3.2331e+005 -6.1142 -9.0492 -0.28834 (norm 2.00e+002) Iteration 148: loglikelihood = 4104.72390293 (steplength = 0.2) Parameters: 0.00044587 1.0160 0.019151 -0.27791 -0.57464 0.76120 0.0079179 -0.92115 0.016483 0.22150 0.68960 -0.73348 4.6934e-007 0.92107 0.055465 5.3712 Gradients: 2.6231e+005-1.5569e+005-1.5528e+005 -57883. 73532. 1.6759e+005 1.5507e+005 53602. 5800.3 -44639. -67393. -49275. -5.4744e+005 -10.077 -11.096 -0.27585 (norm 1.75e+002) Iteration 149: loglikelihood = 4104.80037722 (steplength = 0.2) Parameters: 0.00043823 1.0054 0.046885 -0.30487 -0.56741 0.76759 0.0047070 -0.91093 -0.0095309 0.24739 0.67902 -0.73440 4.6923e-007 0.92151 0.055327 5.2924 Gradients: -1.6705e+006 -90978. -30492. 40800. 78511. 61887. -2991.2 -3898.0 -29211. -36536. -21795. 5775.3 -4.9539e+005 -8.9389 -9.1970 -0.14076 (norm 1.20e+002) Iteration 150: loglikelihood = 4104.84672867 (steplength = 1) Parameters: 0.00044038 0.99695 0.049858 -0.28505 -0.59683 0.78100 0.0060336 -0.90195 -0.014538 0.23279 0.70507 -0.74766 4.7427e-007 0.92162 0.055483 5.1486 Gradients: 2.6738e+006 1.3310e+005 37092. -68984.-1.1927e+005 -85989. 16101. 8055.1 45556. 55045. 31315. -10798. -4.8584e+005 -8.4306 -5.5029 0.017058 (norm 1.47e+002) Iteration 151: loglikelihood = 4104.91537694 (steplength = 1) Parameters: 0.00044330 0.99177 0.062119 -0.29566 -0.59584 0.78516 0.0041884 -0.89689 -0.025120 0.24306 0.70120 -0.74741 4.7016e-007 0.92181 0.055167 5.2111 Gradients: 1.7874e+005 -2518.4 -8247.4 -8033.4 -2180.9 6162.0 11435. 4226.4 3577.7 793.06 -2416.6 -4120.0 -1.4919e+005 -2.8406 -2.3615 -0.013280 (norm 3.58e+001) Iteration 152: loglikelihood = 4104.94941608 (steplength = 1) Parameters: 0.00044125 0.99750 0.046431 -0.27744 -0.60512 0.78559 0.0049696 -0.90194 -0.011563 0.22695 0.71044 -0.74933 4.7032e-007 0.92165 0.055235 5.2258 Gradients: 9548.8 -6906.9 -6787.5 -2435.2 3336.3 7394.8 6738.8 2486.6 695.78 -1479.9 -2727.1 -2316.2 -52641. -1.1582 -1.2211 -0.023658 (norm 3.71e+001) Iteration 153: loglikelihood = 4105.02253514 (steplength = 1) Parameters: 0.00045471 0.98250 0.041612 -0.21526 -0.68812 0.82580 0.0041778 -0.88369 -0.012299 0.17717 0.78264 -0.78320 4.6759e-007 0.92159 0.055071 5.3015 Gradients: -1.6016e+006 -1450.3 51519. 65065. 31927. -30138. -80857. -26003. -28387. -13681. 8977.1 25849. 4.5964e+005 7.5253 5.6142 -0.015061 (norm 8.61e+001) Iteration 154: loglikelihood = 4105.04126850 (steplength = 0.2) Parameters: 0.00045561 0.98068 0.043582 -0.21413 -0.69148 0.82765 0.0043368 -0.88184 -0.014333 0.17677 0.78531 -0.78472 4.6776e-007 0.92160 0.055067 5.2979 Gradients: -9.4856e+005 -5908.6 25761. 37011. 21463. -12581. -43298. -13593. -16280. -9141.5 3357.2 13622. 3.7785e+005 6.1714 4.6266 -0.024920 (norm 6.51e+001) Iteration 155: loglikelihood = 4105.04413205 (steplength = 1) Parameters: 0.00045868 0.96903 0.061869 -0.21947 -0.70202 0.83650 0.0043804 -0.87081 -0.031756 0.18471 0.79177 -0.79080 4.6988e-007 0.92173 0.055158 5.2501 Gradients: 4.2469e+005 39399. 23087. -5425.8 -28163. -32703. -14050. -6224.9 4896.7 12880. 12992. 5299.5 -93809. -1.7196 -1.2133 -0.0017651 (norm 8.31e+001) Iteration 156: loglikelihood = 4105.05002276 (steplength = 1) Parameters: 0.00045744 0.97384 0.050671 -0.21059 -0.70154 0.83165 0.0063266 -0.87611 -0.020731 0.17624 0.79266 -0.78881 4.7059e-007 0.92185 0.055184 5.2180 Gradients: -59100. -25176. -21761. -5215.1 13862. 25091. 19867. 7635.3 1282.8 -5729.3 -9177.1 -7054.2 -2.5866e+005 -4.0718 -3.1756 0.030146 (norm 6.98e+001) Iteration 157: loglikelihood = 4105.05293387 (steplength = 1) Parameters: 0.00045609 0.97767 0.047518 -0.21473 -0.69351 0.82819 0.0054064 -0.87980 -0.017318 0.17820 0.78633 -0.78555 4.6938e-007 0.92163 0.055163 5.2659 Gradients: 12433. 13839. 12625. 3689.2 -7227.6 -14189. -11952. -4329.3 -432.91 3656.7 5477.3 3977.5 1.0131e+005 1.6535 1.2755 -0.010838 (norm 5.22e+001) Iteration 158: loglikelihood = 4105.05373593 (steplength = 1) Parameters: 0.00045798 0.97343 0.055218 -0.21866 -0.69615 0.83172 0.0048239 -0.87537 -0.024824 0.18250 0.78785 -0.78758 4.6903e-007 0.92171 0.055106 5.2654 Gradients: -1.8985e+005 -2449.1 3958.6 7017.3 4930.9 -1197.1 -7509.6 -2184.8 -2850.9 -1793.8 322.19 2207.2 97723. 1.5464 1.1653 -0.0053821 (norm 2.85e+001) Iteration 159: loglikelihood = 4105.05450942 (steplength = 1) Parameters: 0.00045771 0.97392 0.051999 -0.21336 -0.69963 0.83181 0.0056355 -0.87592 -0.022088 0.17829 0.79109 -0.78849 4.6993e-007 0.92174 0.055163 5.2446 Gradients: 72772. 3622.3 1008.5 -1879.4 -3247.3 -2340.4 438.86 89.163 1406.0 1854.7 1182.3 -188.08 -79782. -1.2827 -0.93472 0.0071259 (norm 2.47e+001) Iteration 160: loglikelihood = 4105.05478028 (steplength = 1) Parameters: 0.00045766 0.97451 0.051786 -0.21454 -0.69801 0.83128 0.0053709 -0.87657 -0.021612 0.17895 0.78966 -0.78777 4.6955e-007 0.92171 0.055149 5.2547 Gradients: -17845. 2634.7 3069.3 1526.6 -984.00 -3100.8 -3310.8 -1064.2 -146.32 843.54 1309.4 980.69 5195.9 0.081144 0.044050 0.00035560 (norm 2.40e+001) Iteration 161: loglikelihood = 4105.05480579 (steplength = 1) Parameters: 0.00045772 0.97427 0.052156 -0.21464 -0.69822 0.83144 0.0053855 -0.87629 -0.022047 0.17910 0.78988 -0.78796 4.6955e-007 0.92171 0.055144 5.2548 Gradients: -31309. 2623.3 3503.1 2073.4 -716.40 -3355.0 -3991.2 -1281.7 -387.85 723.12 1380.4 1197.3 7860.7 0.12879 0.11566 0.00065237 (norm 2.48e+001) Iteration 162: loglikelihood = 4105.05481182 (steplength = 1.04858e-014) Parameters: 0.00045771 0.97427 0.052156 -0.21464 -0.69822 0.83144 0.0053855 -0.87629 -0.022047 0.17910 0.78988 -0.78796 4.6963e-007 0.92171 0.055144 5.2548 Gradients: -9550.7 3101.9 3235.7 1329.1 -1381.5 -3424.2 -3310.5 -1085.4 -33.188 1020.4 1442.7 991.46 -12769. -0.18113 -0.11442 -0.00082874 (norm 2.55e+001) Iteration 163: loglikelihood = 4105.05481444 (steplength = 1.04858e-014) Parameters: 0.00045771 0.97427 0.052156 -0.21464 -0.69822 0.83144 0.0053855 -0.87629 -0.022047 0.17910 0.78988 -0.78796 4.6947e-007 0.92171 0.055144 5.2548 Gradients: -22.514 3295.3 3103.0 997.66 -1665.0 -3437.6 -2997.3 -993.82 123.58 1147.1 1463.8 896.09 25414. 0.38282 0.31492 0.0013815 (norm 2.57e+001) Iteration 164: loglikelihood = 4105.05485938 (steplength = 1.31072e-012) Parameters: 0.00045771 0.97427 0.052156 -0.21464 -0.69822 0.83144 0.0053855 -0.87629 -0.022047 0.17910 0.78988 -0.78796 4.6947e-007 0.92171 0.055144 5.2548 Gradients: -1959.2 353.48 396.07 185.03 -141.96 -407.40 -420.53 -34.623 315.35 469.75 339.38 7.5873 23410. 0.35678 0.27643 0.00075973 (norm 8.81e+000) Iteration 165: loglikelihood = 4105.09225156 (steplength = 1.024e-007) Parameters: 0.00045618 0.97427 0.052155 -0.21464 -0.69822 0.83144 0.0053867 -0.87627 -0.022008 0.17914 0.78990 -0.78797 4.6908e-007 0.92171 0.055144 5.2548 Gradients: 2.3598e+005 862.34 -6908.6 -9287.9 -4958.0 3766.1 11256. 3676.1 4514.2 2627.2 -803.89 -3691.4 7681.3 -0.055169 -0.18191 -0.021807 (norm 3.29e+001) Iteration 166: loglikelihood = 4105.16747094 (steplength = 1.024e-007) Parameters: 0.00045653 0.97423 0.052189 -0.21456 -0.69814 0.83148 0.0053546 -0.87622 -0.021812 0.17936 0.79001 -0.78804 4.6968e-007 0.92171 0.055144 5.2548 Gradients: -2.5060e+006-2.3052e+005-1.3561e+005 30911. 1.6400e+005 1.9105e+005 82354. 36695. -27249. -73687. -75050. -31331. 1.9031e+005 3.8784 1.8980 0.055295 (norm 2.00e+002) Iteration 167: loglikelihood = 4105.16963273 (steplength = 5.12e-007) Parameters: 0.00045617 0.97424 0.052188 -0.21456 -0.69814 0.83151 0.0053667 -0.87623 -0.021815 0.17937 0.79003 -0.78801 4.6973e-007 0.92171 0.055143 5.2548 Gradients: -1.6771e+006-2.3183e+005-1.6403e+005 -3139.0 1.4868e+005 2.0878e+005 1.2588e+005 50753. -12301. -66839. -80270. -45271. 1.3903e+005 3.0879 1.4272 0.042098 (norm 2.05e+002) Iteration 168: loglikelihood = 4105.19248449 (steplength = 1.28e-005) Parameters: 0.00044726 0.97460 0.052272 -0.21444 -0.69830 0.83199 0.0053969 -0.87600 -0.021777 0.17935 0.79009 -0.78789 4.7028e-007 0.92170 0.055130 5.2547 Gradients: -1.2429e+006-2.3156e+005-1.7761e+005 -20093. 1.4057e+005 2.1704e+005 1.4735e+005 57631. -4773.3 -63191. -82619. -52096. 1.2139e+005 3.7823 2.5121 0.059843 (norm 2.07e+002) Iteration 169: loglikelihood = 4105.30710407 (steplength = 1.28e-005) Parameters: 0.00043027 0.97562 0.052183 -0.21399 -0.69945 0.83426 0.0046378 -0.87488 -0.021639 0.17928 0.79053 -0.78708 4.7126e-007 0.92170 0.055118 5.2547 Gradients: 2.5294e+006 -97307.-1.7275e+005-1.2955e+005 2114.2 1.5128e+005 2.1562e+005 73778. 51787. -898.39 -52089. -71084. -79358. 2.4744 3.4387 0.067216 (norm 1.63e+002) Iteration 170: loglikelihood = 4105.30739419 (steplength = 0.00032) Parameters: 0.00043039 0.97563 0.052108 -0.21387 -0.69952 0.83425 0.0046599 -0.87483 -0.021790 0.17925 0.79072 -0.78727 4.7402e-007 0.92163 0.054963 5.2548 Gradients: 2.5690e+006 -96433.-1.7319e+005-1.3084e+005 942.48 1.5115e+005 2.1681e+005 74123. 52414. -372.21 -51978. -71446. -78740. 3.8927 5.9101 0.073845 (norm 1.63e+002) Iteration 171: loglikelihood = 4105.30804485 (steplength = 0.00032) Parameters: 0.00043013 0.97564 0.051878 -0.21341 -0.69979 0.83419 0.0047959 -0.87466 -0.022332 0.17914 0.79141 -0.78800 4.6998e-007 0.92179 0.055108 5.2548 Gradients: 2.7416e+006 -94850.-1.7721e+005-1.3715e+005 -3032.2 1.5290e+005 2.2402e+005 76374. 55302. 1406.7 -52355. -73712. -88838. 1.7209 2.7816 0.061922 (norm 1.64e+002) Iteration 172: loglikelihood = 4105.31390161 (steplength = 0.008) Parameters: 0.00042764 0.97216 0.054473 -0.21012 -0.70448 0.83420 0.0073372 -0.87473 -0.021513 0.17578 0.79538 -0.79038 4.7532e-007 0.92118 0.055456 5.2553 Gradients: 3.3345e+006 -74773.-1.7718e+005-1.5434e+005 -24051. 1.4362e+005 2.3545e+005 79194. 64154. 10872. -47973. -76947. -1.0853e+005 2.0669 2.9875 0.064891 (norm 1.63e+002) Iteration 173: loglikelihood = 4105.31938087 (steplength = 0.0016) Parameters: 0.00042732 0.96937 0.055632 -0.20663 -0.70771 0.83262 0.010251 -0.87230 -0.021396 0.17389 0.79817 -0.78980 4.7828e-007 0.92080 0.055709 5.2559 Gradients: 3.3034e+006 -40077.-1.4353e+005-1.4264e+005 -41020. 1.0679e+005 2.0235e+005 67043. 61105. 18587. -34321. -65662. -1.1315e+005 2.4530 3.1770 0.076350 (norm 1.46e+002) Iteration 174: loglikelihood = 4105.32136902 (steplength = 0.0016) Parameters: 0.00042669 0.96930 0.055612 -0.20631 -0.70805 0.83272 0.010334 -0.87249 -0.021499 0.17423 0.79777 -0.78979 4.7388e-007 0.92136 0.055360 5.2560 Gradients: 3.3772e+006 -36464.-1.4247e+005-1.4444e+005 -44191. 1.0447e+005 2.0275e+005 67019. 62126. 20019. -33342. -65718. -1.1840e+005 1.9061 3.4507 0.076914 (norm 1.45e+002) Iteration 175: loglikelihood = 4105.32910814 (steplength = 0.0016) Parameters: 0.00042560 0.96990 0.055553 -0.20729 -0.70725 0.83315 0.0096660 -0.87253 -0.021408 0.17429 0.79762 -0.78968 4.6251e-007 0.92274 0.054555 5.2565 Gradients: 3.5427e+006 -17765.-1.3011e+005-1.4525e+005 -56655. 88211. 1.9402e+005 63404. 63645. 25668. -27032. -62545. -1.3221e+005 0.56112 4.0316 0.079682 (norm 1.38e+002) Iteration 176: loglikelihood = 4105.34434005 (steplength = 0.0016) Parameters: 0.00042271 0.97161 0.054831 -0.20895 -0.70578 0.83438 0.0079997 -0.87334 -0.021957 0.17581 0.79598 -0.78979 4.7516e-007 0.92119 0.055476 5.2576 Gradients: 3.9747e+006 21600.-1.0677e+005-1.5026e+005 -84441. 55626. 1.7984e+005 57142. 68307. 38254. -14222. -57205. -1.5154e+005 1.7291 3.3585 0.080858 (norm 1.33e+002) Iteration 177: loglikelihood = 4105.42816416 (steplength = 0.2) Parameters: 0.00043022 0.96588 0.066237 -0.21712 -0.70667 0.83825 0.0068092 -0.86863 -0.032107 0.18315 0.79582 -0.79238 4.7279e-007 0.92157 0.055186 5.2627 Gradients: 2.9758e+006 74088. -25488. -95105. -92555. -18803. 82088. 23399. 47149. 42151. 11932. -24902. -2.1085e+005 0.070007 2.5115 0.074123 (norm 1.21e+002) Iteration 178: loglikelihood = 4105.49058233 (steplength = 0.04) Parameters: 0.00042363 0.97633 0.047175 -0.20483 -0.70546 0.83443 0.0063507 -0.87853 -0.016521 0.17197 0.79584 -0.79130 4.6847e-007 0.92192 0.055015 5.2673 Gradients: 1.6516e+006 1.4325e+005 81348. -22846.-1.0360e+005-1.1700e+005 -46571. -21171. 19226. 47335. 46501. 17757. -61994. 1.4774 3.8721 0.074017 (norm 1.58e+002) Iteration 179: loglikelihood = 4105.64451371 (steplength = 0.2) Parameters: 0.00045179 0.96783 0.061306 -0.21503 -0.70606 0.83727 0.0053381 -0.86893 -0.028048 0.18144 0.79486 -0.78929 4.6605e-007 0.92239 0.054514 5.2705 Gradients: -1.5205e+006 1.5472e+005 1.9209e+005 1.0364e+005 -52163.-1.9129e+005 -2.1461e+005 -76153. -36390. 24479. 69514. 71966. -53313. 1.2551 3.5093 0.021389 (norm 1.88e+002) Iteration 180: loglikelihood = 4105.72092955 (steplength = 0.04) Parameters: 0.00046148 0.96716 0.061946 -0.21590 -0.70588 0.83727 0.0049142 -0.86790 -0.028687 0.18228 0.79457 -0.78846 4.6537e-007 0.92246 0.054413 5.2736 Gradients: -2.0683e+006 87042. 1.4613e+005 1.0513e+005 -7611.7-1.3145e+005 -1.8085e+005 -62320. -41172. 4297.4 46334. 59760. -49831. 0.95708 2.6521 -0.012660 (norm 1.53e+002) Iteration 181: loglikelihood = 4105.83277328 (steplength = 0.04) Parameters: 0.00048538 0.96282 0.067857 -0.21976 -0.70700 0.83867 0.0041211 -0.86270 -0.033620 0.18617 0.79498 -0.78699 4.6300e-007 0.92279 0.054056 5.2825 Gradients: -2.0025e+006-2.9585e+005-2.1565e+005 -11954. 1.8536e+005 2.6956e+005 1.6941e+005 66888. -14229. -85260.-1.0376e+005 -59644. -68134. 0.42673 0.73579 -0.098032 (norm 2.32e+002) Iteration 182: loglikelihood = 4105.84391009 (steplength = 0.2) Parameters: 0.00049278 0.96344 0.065260 -0.21751 -0.70738 0.83756 0.0044006 -0.86296 -0.031464 0.18424 0.79572 -0.78614 4.6379e-007 0.92264 0.054162 5.2747 Gradients: 3.8378e+006-1.0781e+005-2.1975e+005-1.7761e+005 -12165. 1.8789e+005 2.8588e+005 97343. 72430. 4525.3 -64797. -93915. -2.2305e+005 -2.8217 -1.6255 -0.17194 (norm 1.83e+002) Iteration 183: loglikelihood = 4105.93531443 (steplength = 1) Parameters: 0.00046487 0.97406 0.050070 -0.20810 -0.70753 0.83879 0.0021822 -0.87517 -0.023037 0.17529 0.79915 -0.79495 4.6967e-007 0.92152 0.055346 5.2483 Gradients: -3.5022e+005 1.7034e+005 1.7173e+005 65465. -79393.-1.8473e+005 -1.7241e+005 -62695. -17410. 37459. 68806. 58271. -9733.9 -1.5260 -1.7105 -0.0064924 (norm 1.88e+002) Iteration 184: loglikelihood = 4106.13098388 (steplength = 1) Parameters: 0.00046942 0.96844 0.057190 -0.20903 -0.71160 0.84022 0.0037858 -0.87033 -0.027290 0.17695 0.80183 -0.79497 4.6833e-007 0.92172 0.055115 5.2723 Gradients: 5.2806e+005 83534. 62937. 6042.9 -50811. -76893. -50571. -19545. 3486.1 23981. 29693. 17482. -1.2300e+005 -2.6070 -2.2098 -0.034257 (norm 1.24e+002) Iteration 185: loglikelihood = 4106.24257730 (steplength = 0.04) Parameters: 0.00047268 0.96622 0.059264 -0.20808 -0.71419 0.84094 0.0045036 -0.86850 -0.028300 0.17662 0.80383 -0.79525 4.6790e-007 0.92177 0.055044 5.2815 Gradients: 3.2922e+006 43773. -59236.-1.0983e+005 -78332. 18843. 1.2040e+005 37611. 52355. 35405. -2454.0 -38102. -2.0797e+005 -3.8075 -2.9733 -0.065171 (norm 1.16e+002) Iteration 186: loglikelihood = 4106.35398951 (steplength = 0.2) Parameters: 0.00047169 0.96426 0.061245 -0.20690 -0.71697 0.84199 0.0052502 -0.86670 -0.029107 0.17612 0.80595 -0.79544 4.6755e-007 0.92180 0.054974 5.3013 Gradients: 6.2964e+006 1.2786e+005 -69983.-1.9428e+005-1.7045e+005 -10203. 1.8830e+005 56626. 95866. 76838. 12100. -58621. -2.7365e+005 -4.1786 -2.3760 -0.068483 (norm 1.63e+002) Iteration 187: loglikelihood = 4106.50775256 (steplength = 0.2) Parameters: 0.00046802 0.96312 0.061629 -0.20412 -0.72028 0.84307 0.0060718 -0.86596 -0.028484 0.17427 0.80863 -0.79604 4.6726e-007 0.92177 0.054981 5.3255 Gradients: 7.9018e+006 1.3175e+005-1.1309e+005-2.4999e+005-1.9774e+005 17085. 2.6047e+005 79992. 1.2073e+005 88263. 3526.0 -81637. -2.4859e+005 -3.0073 -0.90560 -0.045607 (norm 1.77e+002) Iteration 188: loglikelihood = 4106.54633959 (steplength = 0.04) Parameters: 0.00046617 0.96348 0.061009 -0.20338 -0.72071 0.84336 0.0060206 -0.86624 -0.027920 0.17371 0.80902 -0.79614 4.6714e-007 0.92175 0.054988 5.3343 Gradients: 7.7744e+006 2.2653e+005 -17756.-2.1355e+005-2.4131e+005 -84598. 1.6592e+005 46009. 1.1169e+005 1.0910e+005 41148. -50114. -2.2055e+005 -2.3376 -0.056072 -0.029840 (norm 2.01e+002) Iteration 189: loglikelihood = 4106.66287135 (steplength = 0.2) Parameters: 0.00045269 0.96637 0.055902 -0.19763 -0.72376 0.84523 0.0056493 -0.86881 -0.023210 0.16919 0.81173 -0.79705 4.6494e-007 0.92171 0.055028 5.3957 Gradients: 4.1182e+006 7.1038e+005 5.6572e+005 91732.-4.0740e+005-6.6322e+005 -4.6797e+005-1.7424e+005 16076. 1.9286e+005 2.5046e+005 1.5681e+005 1.2789e+005 4.5933 6.4993 0.086991 (norm 3.63e+002) Iteration 190: loglikelihood = 4106.78351457 (steplength = 0.2) Parameters: 0.00044948 0.96569 0.056929 -0.19750 -0.72462 0.84572 0.0059296 -0.86813 -0.023541 0.16922 0.81217 -0.79696 4.6333e-007 0.92186 0.054928 5.4095 Gradients: 1.9909e+006 3.8256e+005 3.1124e+005 57379.-2.1586e+005-3.6163e+005 -2.6268e+005 -97057. 5557.0 1.0273e+005 1.3635e+005 87571. 1.1001e+005 4.5272 6.0732 0.073761 (norm 2.68e+002) Iteration 191: loglikelihood = 4106.81510769 (steplength = 0.04) Parameters: 0.00044801 0.96583 0.056439 -0.19664 -0.72521 0.84585 0.0060402 -0.86836 -0.022982 0.16857 0.81263 -0.79714 4.6246e-007 0.92191 0.054895 5.4184 Gradients: 4.6950e+006 3.6571e+005 2.1429e+005 -46715.-2.5218e+005-2.9101e+005 -1.1743e+005 -49514. 49929. 1.1741e+005 1.1314e+005 41169. 58124. 3.5780 5.4585 0.054596 (norm 2.49e+002) Iteration 192: loglikelihood = 4106.84326489 (steplength = 0.04) Parameters: 0.00044203 0.96731 0.054060 -0.19453 -0.72589 0.84625 0.0058550 -0.86981 -0.020937 0.16686 0.81316 -0.79755 4.6016e-007 0.92204 0.054824 5.4452 Gradients: 9.0944e+006 3.2784e+005 47252.-2.1847e+005-3.0549e+005-1.6523e+005 1.2779e+005 31064. 1.2226e+005 1.3832e+005 71169. -37240. -5212.4 2.4237 4.8050 0.022483 (norm 2.33e+002) Iteration 193: loglikelihood = 4106.84389779 (steplength = 0.008) Parameters: 0.00044131 0.96757 0.053661 -0.19426 -0.72592 0.84628 0.0058057 -0.87007 -0.020632 0.16663 0.81319 -0.79762 4.5991e-007 0.92206 0.054819 5.4481 Gradients: 9.5101e+006 3.2270e+005 29981.-2.3519e+005-3.0975e+005-1.5170e+005 1.5239e+005 39185. 1.2917e+005 1.3990e+005 66590. -45113. -11774. 2.2859 4.7049 0.019166 (norm 2.33e+002) Iteration 194: loglikelihood = 4106.84455345 (steplength = 0.04) Parameters: 0.00043727 0.96930 0.051065 -0.19265 -0.72591 0.84638 0.0054453 -0.87179 -0.018721 0.16523 0.81326 -0.79806 4.5863e-007 0.92211 0.054809 5.4633 Gradients: 1.1263e+007 2.8634e+005 -57001.-3.1058e+005-3.2063e+005 -79306. 2.6982e+005 78296. 1.5925e+005 1.4311e+005 41566. -82787. -41249. 1.5832 4.1136 0.0016235 (norm 2.29e+002) Iteration 195: loglikelihood = 4106.88333724 (steplength = 4.1943e-016) Parameters: 0.00043728 0.96930 0.051065 -0.19265 -0.72591 0.84638 0.0054453 -0.87179 -0.018721 0.16523 0.81326 -0.79806 4.5862e-007 0.92211 0.054809 5.4633 Gradients: 5.0754e+006 1.4339e+005 -12045.-1.3546e+005-1.5163e+005 -50775. 1.0841e+005 30690. 71153. 68148. 24371. -33111. 33455. 2.9078 4.6418 0.021712 (norm 1.60e+002) Iteration 196: loglikelihood = 4106.88335504 (steplength = 2.09715e-015) Parameters: 0.00043728 0.96930 0.051065 -0.19265 -0.72591 0.84638 0.0054453 -0.87179 -0.018721 0.16523 0.81326 -0.79806 4.5882e-007 0.92211 0.054809 5.4633 Gradients: 5.0754e+006 1.4288e+005 -12541.-1.3564e+005-1.5138e+005 -50239. 1.0889e+005 30860. 71188. 68029. 24172. -33268. -14905. 2.1980 4.0974 0.019428 (norm 1.59e+002) Iteration 197: loglikelihood = 4106.88349712 (steplength = 5.24288e-014) Parameters: 0.00043728 0.96930 0.051065 -0.19265 -0.72591 0.84638 0.0054453 -0.87179 -0.018721 0.16523 0.81326 -0.79806 4.5873e-007 0.92211 0.054809 5.4633 Gradients: 5.0750e+006 1.2837e+005 -26609.-1.4059e+005-1.4446e+005 -35057. 1.2247e+005 35698. 72177. 64658. 18550. -37726. 3645.5 2.4683 4.2860 0.019169 (norm 1.54e+002) Iteration 198: loglikelihood = 4106.90445206 (steplength = 2.048e-008) Parameters: 0.00043569 0.96931 0.051059 -0.19267 -0.72592 0.84637 0.0054516 -0.87178 -0.018707 0.16524 0.81327 -0.79807 4.5820e-007 0.92211 0.054809 5.4633 Gradients: 8.4011e+006 1.7632e+005 -78576.-2.4426e+005-2.2129e+005 -20144. 2.3608e+005 70820. 1.2109e+005 97767. 16351. -73182. -28741. 1.6361 3.6242 -0.014220 (norm 1.86e+002) Iteration 199: loglikelihood = 4106.90582866 (steplength = 2.048e-008) Parameters: 0.00043539 0.96931 0.051058 -0.19267 -0.72592 0.84637 0.0054523 -0.87178 -0.018708 0.16524 0.81326 -0.79807 4.5810e-007 0.92211 0.054809 5.4633 Gradients: 8.5064e+006 1.4642e+005-1.1073e+005-2.5830e+005-2.0875e+005 13239. 2.6915e+005 82370. 1.2474e+005 91494. 4118.4 -83922. -32355. 1.5198 3.4412 -0.021711 (norm 1.81e+002) Iteration 200: loglikelihood = 4106.90768760 (steplength = 4.096e-009) Parameters: 0.00043483 0.96931 0.051056 -0.19268 -0.72593 0.84636 0.0054549 -0.87178 -0.018711 0.16523 0.81325 -0.79808 4.5788e-007 0.92211 0.054809 5.4633 Gradients: 8.4043e+006 91717.-1.6081e+005-2.7333e+005-1.8101e+005 68532. 3.1557e+005 98913. 1.2672e+005 78035. -16403. -99065. -34011. 1.3860 3.1546 -0.033467 (norm 1.83e+002) Iteration 200: loglikelihood = 4106.90768760 (steplength = 4.1943e-016) Parameters: 0.00043483 0.96931 0.051056 -0.19268 -0.72593 0.84636 0.0054549 -0.87178 -0.018711 0.16523 0.81325 -0.79808 4.5788e-007 0.92211 0.054809 5.4633 Gradients: 8.4043e+006 91717.-1.6081e+005-2.7333e+005-1.8101e+005 68532. 3.1557e+005 98913. 1.2672e+005 78035. -16403. -99065. -34011. 1.3860 3.1546 -0.033467 (norm 1.83e+002) Iteration 201: loglikelihood = 4106.92923126 (steplength = 4.1943e-016) Parameters: 0.00043483 0.96931 0.051056 -0.19268 -0.72593 0.84636 0.0054549 -0.87178 -0.018711 0.16523 0.81325 -0.79808 4.5787e-007 0.92211 0.054809 5.4633 Gradients: 3.7458e+006 -15434.-1.2655e+005-1.4139e+005 -54048. 89528. 1.9367e+005 62961. 60622. 22011. -28993. -61580. 24920. 2.4310 3.6089 -0.018346 (norm 1.37e+002) Iteration 202: loglikelihood = 4106.92970138 (steplength = 5.24288e-014) Parameters: 0.00043483 0.96931 0.051056 -0.19268 -0.72593 0.84636 0.0054549 -0.87178 -0.018711 0.16523 0.81325 -0.79808 4.6166e-007 0.92211 0.054809 5.4633 Gradients: 3.7478e+006 29380. -83131.-1.2616e+005 -75464. 42632. 1.5177e+005 48114. 57637. 32429. -11691. -47902. -8.8706e+005 -10.981 -6.5762 -0.068531 (norm 1.24e+002) Iteration 203: loglikelihood = 4106.93152553 (steplength = 1.04858e-014) Parameters: 0.00043483 0.96931 0.051056 -0.19268 -0.72593 0.84636 0.0054549 -0.87178 -0.018711 0.16523 0.81325 -0.79808 4.6028e-007 0.92211 0.054809 5.4633 Gradients: 3.7523e+006 81326. -32874.-1.0861e+005-1.0034e+005 -11686. 1.0331e+005 30942. 54216. 44523. 8350.9 -32085. -5.4679e+005 -5.9619 -2.6841 -0.046001 (norm 1.26e+002) Iteration 204: loglikelihood = 4106.94958293 (steplength = 2.048e-008) Parameters: 0.00043347 0.96932 0.051050 -0.19269 -0.72594 0.84636 0.0054602 -0.87177 -0.018698 0.16524 0.81326 -0.79808 4.5986e-007 0.92211 0.054809 5.4633 Gradients: 6.5207e+006 1.2338e+005 -74023.-1.9413e+005-1.6528e+005 -1520.2 1.9583e+005 59389. 94651. 72473. 7328.7 -60864. -5.7952e+005 -6.7415 -3.3109 -0.075008 (norm 1.59e+002) Iteration 205: loglikelihood = 4106.94994910 (steplength = 2.048e-008) Parameters: 0.00043333 0.96932 0.051050 -0.19269 -0.72595 0.84636 0.0054603 -0.87177 -0.018698 0.16524 0.81325 -0.79808 4.5981e-007 0.92211 0.054809 5.4633 Gradients: 6.5473e+006 1.0572e+005 -91938.-2.0111e+005-1.5728e+005 17496. 2.1364e+005 65635. 96233. 68540. 351.58 -66642. -5.8111e+005 -6.7947 -3.4038 -0.078427 (norm 1.59e+002) Iteration 206: loglikelihood = 4106.95089510 (steplength = 1.024e-007) Parameters: 0.00043242 0.96933 0.051044 -0.19271 -0.72596 0.84635 0.0054664 -0.87177 -0.018710 0.16522 0.81325 -0.79808 4.5943e-007 0.92211 0.054810 5.4633 Gradients: 5.9136e+006 60673.-1.1691e+005-1.9366e+005-1.2553e+005 52270. 2.2569e+005 70714. 89157. 53800. -13063. -70723. -5.6827e+005 -6.7723 -3.6529 -0.093693 (norm 1.54e+002) Iteration 207: loglikelihood = 4106.96169881 (steplength = 4.1943e-016) Parameters: 0.00043243 0.96933 0.051044 -0.19271 -0.72596 0.84635 0.0054664 -0.87177 -0.018710 0.16522 0.81325 -0.79808 4.5919e-007 0.92211 0.054810 5.4633 Gradients: 2.6410e+006 -14480. -92727.-1.0093e+005 -36392. 66894. 1.3993e+005 45461. 42891. 14677. -21752. -44403. -4.7047e+005 -5.2039 -2.6888 -0.079502 (norm 1.17e+002) Iteration 208: loglikelihood = 4106.96200553 (steplength = 2.09715e-015) Parameters: 0.00043243 0.96933 0.051044 -0.19271 -0.72596 0.84635 0.0054664 -0.87177 -0.018710 0.16522 0.81325 -0.79808 4.5837e-007 0.92211 0.054810 5.4633 Gradients: 2.6599e+006 -12513. -91381.-1.0094e+005 -37641. 65204. 1.3899e+005 45101. 43057. 15258. -21112. -44090. -2.7074e+005 -2.2704 -0.44426 -0.067934 (norm 1.16e+002) Iteration 209: loglikelihood = 4106.96309790 (steplength = 5.24288e-014) Parameters: 0.00043243 0.96933 0.051044 -0.19271 -0.72596 0.84635 0.0054664 -0.87177 -0.018710 0.16522 0.81325 -0.79808 4.5853e-007 0.92211 0.054810 5.4633 Gradients: 2.6596e+006 24807. -55184. -88221. -55468. 26112. 1.0403e+005 32783. 40586. 23910. -6751.6 -32742. -3.0419e+005 -2.7606 -0.77137 -0.068222 (norm 1.04e+002) Iteration 210: loglikelihood = 4106.97794769 (steplength = 2.048e-008) Parameters: 0.00043129 0.96933 0.051040 -0.19272 -0.72597 0.84635 0.0054707 -0.87177 -0.018698 0.16524 0.81325 -0.79809 4.5817e-007 0.92211 0.054810 5.4633 Gradients: 4.8847e+006 59307. -87584.-1.5673e+005-1.0801e+005 33550. 1.7774e+005 55334. 72920. 46453. -7303.1 -55577. -3.2715e+005 -3.3439 -1.2506 -0.091770 (norm 1.39e+002) Iteration 211: loglikelihood = 4106.97993318 (steplength = 5.12e-007) Parameters: 0.00043109 0.96934 0.051047 -0.19271 -0.72597 0.84634 0.0054674 -0.87175 -0.018691 0.16523 0.81323 -0.79812 4.5812e-007 0.92211 0.054810 5.4633 Gradients: 3.6512e+006 -55838.-1.6244e+005-1.5105e+005 -32728. 1.2995e+005 2.2649e+005 74404. 61171. 11560. -43953. -71989. -3.2063e+005 -3.2396 -1.4459 -0.094009 (norm 1.56e+002) Iteration 212: loglikelihood = 4106.98406019 (steplength = 4.1943e-016) Parameters: 0.00043109 0.96934 0.051047 -0.19271 -0.72597 0.84634 0.0054674 -0.87175 -0.018691 0.16523 0.81323 -0.79812 4.5798e-007 0.92211 0.054810 5.4633 Gradients: 1.6050e+006-1.0230e+005-1.4684e+005 -92941. 22717. 1.3855e+005 1.7241e+005 58420. 32224. -12736. -49138. -55353. -2.6197e+005 -2.2939 -0.86049 -0.085282 (norm 1.58e+002) Iteration 213: loglikelihood = 4106.98485350 (steplength = 1.04858e-014) Parameters: 0.00043109 0.96934 0.051047 -0.19271 -0.72597 0.84634 0.0054674 -0.87175 -0.018691 0.16523 0.81323 -0.79812 4.5570e-007 0.92211 0.054810 5.4633 Gradients: 1.6555e+006 -87973.-1.3447e+005 -89920. 15026. 1.2453e+005 1.6143e+005 54481. 32088. -9066.7 -43941. -51774. 2.9570e+005 5.8680 5.4111 -0.052501 (norm 1.49e+002) Iteration 214: loglikelihood = 4106.98907867 (steplength = 5.24288e-014) Parameters: 0.00043109 0.96934 0.051047 -0.19271 -0.72597 0.84634 0.0054674 -0.87175 -0.018691 0.16523 0.81323 -0.79812 4.5767e-007 0.92211 0.054810 5.4633 Gradients: 1.6436e+006 66371. 15302. -37264. -58757. -37329. 16568. 3549.4 21925. 26782. 15485. -4866.0 -1.6664e+005 -0.89862 0.42853 -0.072201 (norm 1.04e+002) Iteration 215: loglikelihood = 4107.00366913 (steplength = 2.048e-008) Parameters: 0.00043011 0.96934 0.051044 -0.19272 -0.72598 0.84634 0.0054709 -0.87174 -0.018680 0.16524 0.81323 -0.79812 4.5735e-007 0.92211 0.054811 5.4633 Gradients: 3.5498e+006 97390. -11004. -95414.-1.0444e+005 -32496. 78319. 22459. 49577. 46426. 15518. -24056. -1.8521e+005 -1.3855 0.023109 -0.091773 (norm 1.32e+002) Iteration 216: loglikelihood = 4107.01820768 (steplength = 1.024e-007) Parameters: 0.00042982 0.96934 0.051051 -0.19271 -0.72598 0.84633 0.0054642 -0.87172 -0.018660 0.16524 0.81322 -0.79815 4.5728e-007 0.92211 0.054811 5.4633 Gradients: 2.9844e+006 -36586.-1.2372e+005-1.2000e+005 -30824. 96705. 1.7635e+005 57759. 49257. 11417. -32483. -56017. -1.8641e+005 -1.4131 -0.27252 -0.098758 (norm 1.36e+002) Iteration 217: loglikelihood = 4107.02762962 (steplength = 4.096e-009) Parameters: 0.00042984 0.96934 0.051055 -0.19271 -0.72597 0.84633 0.0054591 -0.87170 -0.018646 0.16525 0.81321 -0.79816 4.5729e-007 0.92211 0.054811 5.4633 Gradients: 1.0782e+006-1.3197e+005-1.5949e+005 -83301. 45929. 1.5926e+005 1.7452e+005 59903. 25517. -23444. -57345. -56189. -1.6343e+005 -0.98121 -0.14344 -0.092134 (norm 1.71e+002) Iteration 218: loglikelihood = 4107.03583068 (steplength = 2.56e-006) Parameters: 0.00043136 0.96931 0.051012 -0.19270 -0.72603 0.84636 0.0053608 -0.87167 -0.018646 0.16524 0.81321 -0.79817 4.5704e-007 0.92211 0.054816 5.4633 Gradients: -2.0170e+006-2.2906e+005-1.6182e+005 -4423.5 1.4267e+005 2.0034e+005 1.1774e+005 44400. -16676. -66490. -75430. -38995. -1.2830e+005 -0.60559 -0.32610 -0.091964 (norm 2.01e+002) Iteration 219: loglikelihood = 4107.03706423 (steplength = 1.28e-005) Parameters: 0.00043046 0.96937 0.051001 -0.19267 -0.72607 0.84646 0.0053467 -0.87169 -0.018686 0.16525 0.81325 -0.79824 4.5704e-007 0.92212 0.054817 5.4633 Gradients: -1.2980e+006-1.9979e+005-1.5478e+005 -20479. 1.1698e+005 1.8376e+005 1.2465e+005 45810. -7303.1 -54935. -68663. -40971. -1.3321e+005 -0.62255 -0.19999 -0.088070 (norm 1.91e+002) Iteration 220: loglikelihood = 4107.07560467 (steplength = 0.00032) Parameters: 0.00043124 0.97060 0.049471 -0.19133 -0.72770 0.84865 0.0039412 -0.87505 -0.022041 0.16608 0.81505 -0.80552 4.6242e-007 0.92213 0.054297 5.4631 Gradients: -7.9901e+005-2.2310e+005-1.9207e+005 -46309. 1.2012e+005 2.1797e+005 1.7021e+005 61075. 1960.8 -57103. -80716. -55474. -1.4191e+005 0.78165 4.9415 -0.090713 (norm 2.06e+002) Iteration 221: loglikelihood = 4107.07672604 (steplength = 0.00032) Parameters: 0.00043125 0.97051 0.049896 -0.19176 -0.72772 0.84903 0.0037139 -0.87552 -0.021882 0.16555 0.81560 -0.80628 4.5223e-007 0.92228 0.055014 5.4630 Gradients: -4.4296e+005-2.1092e+005-1.9084e+005 -55058. 1.0849e+005 2.1220e+005 1.7582e+005 62527. 6760.3 -51900. -78238. -57147. -1.4538e+005 -5.4086 -5.5527 -0.11782 (norm 2.03e+002) Iteration 222: loglikelihood = 4107.07798577 (steplength = 6.4e-005) Parameters: 0.00043105 0.97046 0.050122 -0.19197 -0.72774 0.84922 0.0036145 -0.87568 -0.021769 0.16529 0.81585 -0.80655 4.5471e-007 0.92212 0.055001 5.4630 Gradients: -2.4713e+005-2.0539e+005-1.9128e+005 -60244. 1.0267e+005 2.1024e+005 1.7998e+005 63710. 9461.8 -49329. -77336. -58420. -1.4656e+005 -4.4026 -4.1117 -0.11264 (norm 2.01e+002) Iteration 223: loglikelihood = 4107.07897370 (steplength = 0.008) Parameters: 0.00042990 0.96710 0.053809 -0.19110 -0.73082 0.84952 0.0054064 -0.87330 -0.024445 0.16520 0.81879 -0.80821 4.7748e-007 0.91922 0.056796 5.4613 Gradients: -3.6075e+005-1.9524e+005-1.7807e+005 -52684. 99657. 1.9737e+005 1.6503e+005 58661. 7015.4 -47762. -72777. -53660. -1.1234e+005 -1.4063 -4.8117 -0.088680 (norm 1.96e+002) Iteration 224: loglikelihood = 4107.08007240 (steplength = 0.00032) Parameters: 0.00042960 0.96633 0.054712 -0.19094 -0.73159 0.84971 0.0057484 -0.87312 -0.024779 0.16525 0.81906 -0.80847 4.7690e-007 0.91931 0.056741 5.4609 Gradients: -2.5049e+005-1.8665e+005-1.7302e+005 -53762. 93747. 1.9053e+005 1.6225e+005 57535. 8193.9 -45033. -70164. -52728. -1.1269e+005 -1.4525 -4.6920 -0.085060 (norm 1.92e+002) Iteration 225: loglikelihood = 4107.08193354 (steplength = 0.00032) Parameters: 0.00042907 0.96529 0.056001 -0.19091 -0.73243 0.84987 0.0062256 -0.87231 -0.025593 0.16516 0.82005 -0.80896 4.7144e-007 0.92000 0.056336 5.4602 Gradients: -4.7215e+005-1.7670e+005-1.5688e+005 -42473. 92518. 1.7577e+005 1.4244e+005 50902. 4120.4 -44158. -64970. -46414. -1.1137e+005 -1.9112 -4.1932 -0.073087 (norm 1.85e+002) Iteration 226: loglikelihood = 4107.09156891 (steplength = 0.008) Parameters: 0.00042731 0.96560 0.057253 -0.19321 -0.73160 0.85132 0.0049750 -0.87218 -0.027286 0.16708 0.81903 -0.80937 4.7356e-007 0.91978 0.056476 5.4570 Gradients: -7.7172e+005-1.1579e+005 -89316. -11432. 67917. 1.0613e+005 71492. 26409. -4296.4 -31790. -39660. -23600. -80447. -0.98406 -3.5248 -0.048369 (norm 1.46e+002) Iteration 227: loglikelihood = 4107.10428223 (steplength = 0.04) Parameters: 0.00042460 0.96761 0.050479 -0.18527 -0.73411 0.84894 0.0069443 -0.87522 -0.020409 0.16041 0.82160 -0.80934 4.7537e-007 0.91962 0.056557 5.4479 Gradients: -9.1907e+005 16636. 42681. 37893. 6287.8 -35409. -58730. -19189. -14706. -1506.6 12319. 18475. -41291. 0.092229 -2.1467 -0.025227 (norm 8.03e+001) Iteration 228: loglikelihood = 4107.11969617 (steplength = 0.04) Parameters: 0.00042466 0.96641 0.052855 -0.18667 -0.73467 0.84998 0.0067234 -0.87404 -0.022361 0.16173 0.82178 -0.80973 4.7507e-007 0.91975 0.056477 5.4366 Gradients: -3.0527e+006 27976. 1.1608e+005 1.1768e+005 34728. -89009. -1.7024e+005 -55418. -48445. -12591. 30057. 53802. 6379.7 1.1197 -1.0208 0.0097804 (norm 1.32e+002) Iteration 229: loglikelihood = 4107.17014509 (steplength = 0.2) Parameters: 0.00042505 0.96403 0.058069 -0.19020 -0.73589 0.85296 0.0055843 -0.87140 -0.026567 0.16481 0.82190 -0.81028 4.6982e-007 0.92083 0.055850 5.3718 Gradients: 6.4899e+006 4.8574e+005 2.7804e+005 -70001.-3.3813e+005-3.8176e+005 -1.4467e+005 -59590. 71603. 1.5713e+005 1.4670e+005 48577. 25562. 1.5109 2.1382 0.089175 (norm 2.87e+002) Iteration 230: loglikelihood = 4107.25067861 (steplength = 0.2) Parameters: 0.00042487 0.96665 0.053280 -0.18717 -0.73581 0.85241 0.0051264 -0.87376 -0.021897 0.16204 0.82132 -0.80892 4.6229e-007 0.92205 0.055213 5.3075 Gradients: 9.8568e+006 3.7291e+005 72381.-2.2512e+005-3.3551e+005-1.9789e+005 1.1788e+005 28302. 1.2981e+005 1.5140e+005 81802. -35340. 94719. 2.1005 4.1331 0.16596 (norm 2.47e+002) Iteration 231: loglikelihood = 4107.33533091 (steplength = 0.2) Parameters: 0.00042522 0.97137 0.043489 -0.17959 -0.73680 0.85096 0.0049608 -0.87830 -0.012284 0.15538 0.82155 -0.80679 4.5029e-007 0.92383 0.054237 5.2469 Gradients: 3.1734e+006-6.4048e+005-7.0880e+005-3.2381e+005 2.6040e+005 7.3269e+005 7.4418e+005 2.5578e+005 84721.-1.3343e+005-2.6698e+005-2.3772e+005 2.4551e+005 3.9132 6.5506 0.25756 (norm 3.70e+002) Iteration 232: loglikelihood = 4107.42658034 (steplength = 0.2) Parameters: 0.00042847 0.97249 0.040004 -0.17601 -0.73801 0.85027 0.0052888 -0.87949 -0.0087885 0.15242 0.82246 -0.80612 4.4872e-007 0.92407 0.054058 5.2475 Gradients: -8.6719e+006-7.3057e+005-4.5564e+005 58743. 4.8571e+005 5.9583e+005 2.7458e+005 1.0628e+005 -89506.-2.2746e+005-2.2618e+005 -89439. 3.3891e+005 5.4804 7.7880 0.28772 (norm 3.53e+002) Iteration 233: loglikelihood = 4107.43955196 (steplength = 2.56e-006) Parameters: 0.00042930 0.97277 0.039129 -0.17510 -0.73833 0.85009 0.0053730 -0.87979 -0.0079085 0.15167 0.82270 -0.80595 4.4833e-007 0.92413 0.054013 5.2477 Gradients: -1.2197e+007-7.4533e+005-3.6900e+005 1.7614e+005 5.4663e+005 5.4249e+005 1.2397e+005 58027.-1.4177e+005-2.5233e+005-2.0935e+005 -41884. 3.6950e+005 5.9999 8.2081 0.29656 (norm 3.48e+002) Iteration 233: loglikelihood = 4107.43955196 (steplength = 6.5536e-012) Parameters: 0.00042930 0.97277 0.039129 -0.17510 -0.73833 0.85009 0.0053730 -0.87979 -0.0079085 0.15167 0.82270 -0.80595 4.4833e-007 0.92413 0.054013 5.2477 Gradients: -1.2197e+007-7.4533e+005-3.6900e+005 1.7614e+005 5.4663e+005 5.4249e+005 1.2397e+005 58027.-1.4177e+005-2.5233e+005-2.0935e+005 -41884. 3.6950e+005 5.9999 8.2081 0.29656 (norm 3.48e+002) Iteration 234: loglikelihood = 4107.46692193 (steplength = 4.1943e-016) Parameters: 0.00042929 0.97277 0.039129 -0.17510 -0.73833 0.85009 0.0053730 -0.87979 -0.0079085 0.15167 0.82270 -0.80595 4.4848e-007 0.92413 0.054013 5.2477 Gradients: 1.7223e+006-4.2975e+005-4.6436e+005-2.0369e+005 1.8056e+005 4.8378e+005 4.8077e+005 1.6537e+005 50582. -92031.-1.7645e+005-1.5335e+005 1.8762e+005 2.8500 6.3467 0.25381 (norm 3.01e+002) Iteration 235: loglikelihood = 4107.48382290 (steplength = 5.24288e-014) Parameters: 0.00042929 0.97277 0.039129 -0.17510 -0.73833 0.85009 0.0053730 -0.87979 -0.0079085 0.15167 0.82270 -0.80595 4.5958e-007 0.92413 0.054013 5.2477 Gradients: 1.5152e+006 -15339. -58704. -58443. -16243. 45684. 85490. 28090. 24320. 6069.3 -15429. -27231. -2.5003e+006 -37.365 -23.579 0.087591 (norm 9.35e+001) Iteration 236: loglikelihood = 4107.48967216 (steplength = 1.04858e-014) Parameters: 0.00042929 0.97277 0.039129 -0.17510 -0.73833 0.85009 0.0053731 -0.87979 -0.0079085 0.15167 0.82270 -0.80595 4.4790e-007 0.92413 0.054013 5.2477 Gradients: 1.5577e+006 2.6202e+005 2.0756e+005 32403.-1.5078e+005-2.4399e+005 -1.7057e+005 -61052. 9479.9 72823. 91173. 54497. 3.7298e+005 5.5210 9.0660 0.28531 (norm 2.20e+002) Iteration 237: loglikelihood = 4107.50097741 (steplength = 2.048e-008) Parameters: 0.00042807 0.97278 0.039124 -0.17511 -0.73834 0.85009 0.0053782 -0.87978 -0.0078962 0.15169 0.82270 -0.80596 4.4761e-007 0.92413 0.054014 5.2477 Gradients: 9.4470e+006 4.1485e+005 1.2859e+005-1.9128e+005-3.4551e+005-2.5001e+005 55699. 8376.8 1.1977e+005 1.5702e+005 99394. -16543. 2.7868e+005 3.7246 7.8524 0.24429 (norm 2.55e+002) Iteration 238: loglikelihood = 4107.50152483 (steplength = 4.096e-009) Parameters: 0.00042782 0.97278 0.039124 -0.17512 -0.73834 0.85009 0.0053785 -0.87978 -0.0078932 0.15169 0.82270 -0.80596 4.4754e-007 0.92413 0.054014 5.2477 Gradients: 1.1221e+007 4.0452e+005 67746.-2.5643e+005-3.6771e+005-2.0455e+005 1.4814e+005 38393. 1.4699e+005 1.6519e+005 84038. -45726. 2.5604e+005 3.3032 7.5178 0.23359 (norm 2.57e+002) Iteration 238: loglikelihood = 4107.50152483 (steplength = 1.67772e-017) Parameters: 0.00042782 0.97278 0.039124 -0.17512 -0.73834 0.85009 0.0053785 -0.87978 -0.0078932 0.15169 0.82270 -0.80596 4.4754e-007 0.92413 0.054014 5.2477 Gradients: 1.1221e+007 4.0452e+005 67746.-2.5643e+005-3.6771e+005-2.0455e+005 1.4814e+005 38393. 1.4699e+005 1.6519e+005 84038. -45726. 2.5604e+005 3.3032 7.5178 0.23359 (norm 2.57e+002) Iteration 239: loglikelihood = 4107.52397538 (steplength = 4.1943e-016) Parameters: 0.00042783 0.97278 0.039124 -0.17512 -0.73834 0.85009 0.0053785 -0.87978 -0.0078932 0.15169 0.82270 -0.80596 4.4765e-007 0.92413 0.054014 5.2477 Gradients: -1.7689e+006 1.1458e+005 1.6086e+005 99152. -28562.-1.5453e+005 -1.8880e+005 -63205. -32266. 17345. 55492. 59564. 3.4767e+005 5.0197 8.2566 0.26690 (norm 1.66e+002) Iteration 240: loglikelihood = 4107.52460657 (steplength = 1.04858e-014) Parameters: 0.00042783 0.97278 0.039124 -0.17512 -0.73834 0.85009 0.0053785 -0.87978 -0.0078932 0.15169 0.82270 -0.80596 4.5117e-007 0.92413 0.054014 5.2477 Gradients: -1.7428e+006 86309. 1.3286e+005 88854. -15300.-1.2441e+005 -1.6129e+005 -53701. -30328. 10719. 44456. 50824. -5.2765e+005 -7.9426 -1.6130 0.20894 (norm 1.48e+002) Iteration 241: loglikelihood = 4107.52605542 (steplength = 5.24288e-014) Parameters: 0.00042783 0.97278 0.039124 -0.17512 -0.73834 0.85009 0.0053785 -0.87978 -0.0078932 0.15169 0.82270 -0.80596 4.4920e-007 0.92413 0.054014 5.2477 Gradients: -1.7563e+006-1.3686e+005 -81922. 15115. 92685. 1.0907e+005 45641. 18047. -18303. -42898. -41267. -14959. -53276. -0.89246 3.5046 0.23332 (norm 1.52e+002) Iteration 242: loglikelihood = 4107.54298003 (steplength = 2.048e-008) Parameters: 0.00042675 0.97278 0.039120 -0.17512 -0.73835 0.85008 0.0053829 -0.87978 -0.0078814 0.15170 0.82271 -0.80597 4.4887e-007 0.92413 0.054014 5.2477 Gradients: 5.0586e+006 -10779.-1.5572e+005-1.7989e+005 -72530. 1.1009e+005 2.4648e+005 79580. 76903. 28222. -36323. -77725. -1.2018e+005 -2.2382 2.5859 0.19801 (norm 1.51e+002) Iteration 243: loglikelihood = 4107.54307377 (steplength = 2.048e-008) Parameters: 0.00042672 0.97278 0.039119 -0.17512 -0.73835 0.85008 0.0053837 -0.87978 -0.0078819 0.15170 0.82271 -0.80597 4.4886e-007 0.92413 0.054014 5.2477 Gradients: 5.4431e+006 14048.-1.4283e+005-1.8502e+005 -90419. 91602. 2.4135e+005 77357. 81311. 36476. -29249. -76044. -1.2286e+005 -2.2911 2.5785 0.19738 (norm 1.50e+002) Iteration 243: loglikelihood = 4107.54307377 (steplength = 8.38861e-017) Parameters: 0.00042672 0.97278 0.039119 -0.17512 -0.73835 0.85008 0.0053837 -0.87978 -0.0078819 0.15170 0.82271 -0.80597 4.4886e-007 0.92413 0.054014 5.2477 Gradients: 5.4431e+006 14048.-1.4283e+005-1.8502e+005 -90419. 91602. 2.4135e+005 77357. 81311. 36476. -29249. -76044. -1.2286e+005 -2.2911 2.5785 0.19738 (norm 1.50e+002) Iteration 244: loglikelihood = 4107.54822831 (steplength = 4.1943e-016) Parameters: 0.00042672 0.97278 0.039119 -0.17512 -0.73835 0.85008 0.0053837 -0.87978 -0.0078819 0.15170 0.82271 -0.80597 4.4881e-007 0.92413 0.054014 5.2477 Gradients: -9.8233e+005-1.2824e+005 -95789. -8916.0 76682. 1.1516e+005 73747. 26773. -7209.7 -36132. -42789. -23678. -50173. -1.0309 3.2725 0.21551 (norm 1.52e+002) Iteration 245: loglikelihood = 4107.54865286 (steplength = 5.24288e-014) Parameters: 0.00042672 0.97278 0.039119 -0.17512 -0.73835 0.85008 0.0053837 -0.87978 -0.0078819 0.15170 0.82271 -0.80597 4.4559e-007 0.92413 0.054014 5.2477 Gradients: -9.5585e+005 -28484. -383.72 23314. 28087. 11196. -17781. -4884.8 -12201. -12042. -4675.7 5322.8 7.5878e+005 10.892 12.450 0.27113 (norm 6.93e+001) Iteration 246: loglikelihood = 4107.54917932 (steplength = 1.04858e-014) Parameters: 0.00042672 0.97278 0.039119 -0.17512 -0.73835 0.85008 0.0053837 -0.87978 -0.0078819 0.15170 0.82271 -0.80597 4.4784e-007 0.92413 0.054014 5.2477 Gradients: -9.5914e+005 40301. 66030. 46300. -5081.5 -60913. -81908. -27041. -15970. 4437.4 21743. 25640. 2.0203e+005 2.6840 6.2657 0.23672 (norm 1.03e+002) Iteration 247: loglikelihood = 4107.56335117 (steplength = 2.048e-008) Parameters: 0.00042572 0.97278 0.039116 -0.17513 -0.73835 0.85008 0.0053879 -0.87977 -0.0078704 0.15171 0.82271 -0.80597 4.4750e-007 0.92413 0.054014 5.2477 Gradients: 5.5868e+006 1.6559e+005 -721.12-1.3947e+005-1.6569e+005 -64322. 1.0700e+005 30814. 75126. 73483. 27850. -33493. 1.4809e+005 1.5535 5.5167 0.20396 (norm 1.68e+002) Iteration 248: loglikelihood = 4107.56599334 (steplength = 2.048e-008) Parameters: 0.00042553 0.97278 0.039117 -0.17513 -0.73835 0.85008 0.0053870 -0.87977 -0.0078652 0.15171 0.82271 -0.80598 4.4744e-007 0.92413 0.054014 5.2477 Gradients: 6.6255e+006 1.1398e+005 -80158.-1.9260e+005-1.5658e+005 9998.8 2.0337e+005 62905. 93374. 67255. 1403.3 -63878. 1.3622e+005 1.3290 5.2779 0.19721 (norm 1.57e+002) Iteration 249: loglikelihood = 4107.58819859 (steplength = 1.024e-007) Parameters: 0.00042618 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053746 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4764e-007 0.92413 0.054015 5.2477 Gradients: -2.0637e+006-2.4468e+005-1.7684e+005 -9736.9 1.4965e+005 2.1596e+005 1.3128e+005 47715. -17502. -70816. -80556. -41833. 2.1822e+005 2.9423 6.0888 0.22920 (norm 2.08e+002) Iteration 250: loglikelihood = 4107.58820321 (steplength = 2.048e-008) Parameters: 0.00042620 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053739 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4764e-007 0.92413 0.054015 5.2477 Gradients: -2.1499e+006-2.4724e+005-1.7684e+005 -7595.8 1.5220e+005 2.1696e+005 1.2964e+005 47243. -18655. -71945. -80985. -41320. 2.1900e+005 2.9539 6.0919 0.22910 (norm 2.09e+002) Iteration 250: loglikelihood = 4107.58820321 (steplength = 1.04858e-014) Parameters: 0.00042620 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053739 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4764e-007 0.92413 0.054015 5.2477 Gradients: -2.1499e+006-2.4724e+005-1.7684e+005 -7595.8 1.5220e+005 2.1696e+005 1.2964e+005 47243. -18655. -71945. -80985. -41320. 2.1900e+005 2.9539 6.0919 0.22910 (norm 2.09e+002) Iteration 251: loglikelihood = 4107.58903117 (steplength = 4.1943e-016) Parameters: 0.00042619 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053739 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4773e-007 0.92413 0.054015 5.2477 Gradients: 5.2475e+005-1.8645e+005-1.9475e+005 -80163. 82043. 2.0550e+005 1.9780e+005 67853. 18096. -41420. -74839. -62708. 1.7094e+005 2.1648 5.5934 0.22086 (norm 1.97e+002) Iteration 252: loglikelihood = 4107.59067207 (steplength = 1.04858e-014) Parameters: 0.00042619 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053739 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4971e-007 0.92413 0.054015 5.2477 Gradients: 4.5649e+005-1.4795e+005-1.5573e+005 -65065. 64443. 1.6385e+005 1.5887e+005 54492. 15065. -32527. -59608. -50402. -3.1784e+005 -5.0711 0.13490 0.19013 (norm 1.75e+002) Iteration 253: loglikelihood = 4107.59364832 (steplength = 1.04858e-014) Parameters: 0.00042619 0.97278 0.039126 -0.17511 -0.73834 0.85008 0.0053739 -0.87975 -0.0078383 0.15173 0.82271 -0.80600 4.4731e-007 0.92413 0.054015 5.2477 Gradients: 4.6644e+005 -29867. -42329. -26380. 7108.4 40368. 49685. 16807. 9051.2 -3951.5 -14310. -15881. 2.8367e+005 3.8110 6.9993 0.23188 (norm 8.49e+001) Iteration 254: loglikelihood = 4107.60383364 (steplength = 2.048e-008) Parameters: 0.00042537 0.97278 0.039123 -0.17512 -0.73834 0.85008 0.0053767 -0.87974 -0.0078276 0.15174 0.82271 -0.80600 4.4708e-007 0.92413 0.054015 5.2477 Gradients: 6.3296e+006 83627.-1.0049e+005-1.9179e+005-1.3697e+005 35952. 2.1730e+005 68243. 90435. 57976. -8518.7 -68481. 2.2491e+005 2.6612 6.2231 0.20337 (norm 1.55e+002) Iteration 255: loglikelihood = 4107.61291346 (steplength = 1.024e-007) Parameters: 0.00042572 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053699 -0.87973 -0.0078185 0.15175 0.82271 -0.80601 4.4719e-007 0.92413 0.054015 5.2477 Gradients: 3.2265e+006 -44798.-1.3539e+005-1.2666e+005 -27499. 1.0986e+005 1.9191e+005 62885. 50864. 8637.6 -37854. -60670. 2.4714e+005 3.1320 6.4318 0.21530 (norm 1.42e+002) Iteration 256: loglikelihood = 4107.61456364 (steplength = 4.1943e-016) Parameters: 0.00042572 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053699 -0.87973 -0.0078185 0.15175 0.82271 -0.80601 4.4730e-007 0.92413 0.054015 5.2477 Gradients: -8.7628e+005-1.3439e+005-1.0449e+005 -14291. 78237. 1.2360e+005 84073. 30069. -5657.9 -37214. -45795. -26764. 2.5889e+005 3.4213 6.4978 0.22472 (norm 1.57e+002) Iteration 257: loglikelihood = 4107.61489075 (steplength = 1.04858e-014) Parameters: 0.00042572 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053699 -0.87973 -0.0078185 0.15175 0.82271 -0.80601 4.5002e-007 0.92413 0.054015 5.2477 Gradients: -8.1929e+005-1.1042e+005 -83052. -8351.1 65758. 99613. 64479. 23256. -6040.3 -31076. -36955. -20577. -4.1622e+005 -6.5717 -1.0666 0.18100 (norm 1.41e+002) Iteration 258: loglikelihood = 4107.61538230 (steplength = 5.24288e-014) Parameters: 0.00042572 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053699 -0.87973 -0.0078185 0.15175 0.82271 -0.80601 4.4855e-007 0.92413 0.054015 5.2477 Gradients: -8.1762e+005 68834. 89377. 50700. -21169. -88089. -1.0178e+005 -34041. -15208. 12337. 31891. 31906. -42438. -1.0518 3.3033 0.20985 (norm 1.26e+002) Iteration 259: loglikelihood = 4107.62808399 (steplength = 2.048e-008) Parameters: 0.00042500 0.97278 0.039124 -0.17512 -0.73834 0.85008 0.0053719 -0.87973 -0.0078083 0.15176 0.82271 -0.80602 4.4834e-007 0.92413 0.054015 5.2477 Gradients: 4.3389e+006 1.6908e+005 38753. -94478.-1.4799e+005 -92436. 45122. 11184. 56398. 66853. 37025. -14348. -94643. -2.0709 2.6093 0.18449 (norm 1.65e+002) Iteration 260: loglikelihood = 4107.63633472 (steplength = 2.048e-008) Parameters: 0.00042474 0.97278 0.039125 -0.17512 -0.73834 0.85007 0.0053689 -0.87972 -0.0077965 0.15176 0.82271 -0.80603 4.4828e-007 0.92413 0.054015 5.2477 Gradients: 6.5265e+006 97230. -92616.-1.9356e+005-1.4619e+005 25484. 2.1339e+005 66850. 92498. 62181. -4737.4 -67377. -1.2297e+005 -2.5752 2.1357 0.17209 (norm 1.57e+002) Iteration 261: loglikelihood = 4107.64803130 (steplength = 2.048e-008) Parameters: 0.00042499 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053634 -0.87971 -0.0077857 0.15177 0.82271 -0.80603 4.4836e-007 0.92413 0.054015 5.2477 Gradients: 4.4983e+006 -25516.-1.5275e+005-1.6377e+005 -55810. 1.1444e+005 2.3279e+005 75649. 68510. 20488. -38772. -73527. -1.1060e+005 -2.2858 2.2312 0.17973 (norm 1.51e+002) Iteration 262: loglikelihood = 4107.65094226 (steplength = 4.1943e-016) Parameters: 0.00042499 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053634 -0.87971 -0.0077857 0.15177 0.82271 -0.80603 4.4832e-007 0.92413 0.054015 5.2477 Gradients: -1.4623e+006-1.5532e+005-1.0780e+005 -781.18 97361. 1.3405e+005 76073. 27801. -13505. -45816. -49981. -24120. -45657. -1.1628 2.8690 0.19583 (norm 1.65e+002) Iteration 263: loglikelihood = 4107.65164518 (steplength = 5.24288e-014) Parameters: 0.00042499 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053634 -0.87971 -0.0077857 0.15177 0.82271 -0.80603 4.4508e-007 0.92413 0.054015 5.2477 Gradients: -1.4264e+006 -25766. 15722. 40547. 33912. -922.37 -42354. -12951. -19422. -14109. -461.17 13157. 7.6904e+005 10.831 12.131 0.25126 (norm 7.25e+001) Iteration 264: loglikelihood = 4107.65197530 (steplength = 1.04858e-014) Parameters: 0.00042499 0.97277 0.039127 -0.17511 -0.73834 0.85008 0.0053634 -0.87971 -0.0077857 0.15177 0.82271 -0.80603 4.4789e-007 0.92413 0.054015 5.2477 Gradients: -1.4310e+006 49331. 88059. 65395. -2473.0 -79659. -1.1219e+005 -36959. -23235. 4119.5 28410. 35143. 70619. 0.53305 4.3634 0.20786 (norm 1.17e+002) Iteration 265: loglikelihood = 4107.66452368 (steplength = 2.048e-008) Parameters: 0.00042444 0.97277 0.039125 -0.17511 -0.73834 0.85007 0.0053643 -0.87971 -0.0077762 0.15178 0.82272 -0.80604 4.4770e-007 0.92413 0.054015 5.2477 Gradients: 2.7545e+006 1.3083e+005 47280. -52141.-1.0529e+005 -83336. 6732.7 -258.54 34811. 48272. 32517. -2387.8 35762. -0.17963 3.8831 0.18881 (norm 1.42e+002) Iteration 266: loglikelihood = 4107.67783759 (steplength = 2.048e-008) Parameters: 0.00042398 0.97277 0.039126 -0.17511 -0.73834 0.85007 0.0053590 -0.87969 -0.0077539 0.15180 0.82272 -0.80606 4.4753e-007 0.92413 0.054016 5.2477 Gradients: 7.4802e+006 709.52-2.1191e+005-2.5728e+005-1.1314e+005 1.4510e+005 3.4649e+005 1.1174e+005 1.1098e+005 43756. -48229.-1.0933e+005 -4778.7 -0.93541 3.1636 0.16555 (norm 1.77e+002) Iteration 267: loglikelihood = 4107.68505216 (steplength = 1.024e-007) Parameters: 0.00042526 0.97275 0.039128 -0.17509 -0.73831 0.85008 0.0053398 -0.87969 -0.0077247 0.15184 0.82274 -0.80606 4.4778e-007 0.92413 0.054016 5.2477 Gradients: -6.4793e+006-6.3491e+005-4.2633e+005 14259. 4.0575e+005 5.3841e+005 2.8773e+005 1.0495e+005 -64924.-1.9220e+005-2.0155e+005 -89963. 1.3349e+005 1.7519 4.6192 0.21569 (norm 3.32e+002) Iteration 267: loglikelihood = 4107.68505216 (steplength = 4.1943e-016) Parameters: 0.00042526 0.97275 0.039128 -0.17509 -0.73831 0.85008 0.0053398 -0.87969 -0.0077247 0.15184 0.82274 -0.80606 4.4778e-007 0.92413 0.054016 5.2477 Gradients: -6.4793e+006-6.3491e+005-4.2633e+005 14259. 4.0575e+005 5.3841e+005 2.8773e+005 1.0495e+005 -64924.-1.9220e+005-2.0155e+005 -89963. 1.3349e+005 1.7519 4.6192 0.21569 (norm 3.32e+002) Iteration 268: loglikelihood = 4107.69040605 (steplength = 4.1943e-016) Parameters: 0.00042525 0.97275 0.039128 -0.17509 -0.73831 0.85008 0.0053398 -0.87969 -0.0077247 0.15184 0.82274 -0.80606 4.4784e-007 0.92413 0.054016 5.2477 Gradients: 2.9101e+006-4.2482e+005-4.9087e+005-2.3941e+005 1.6260e+005 5.0159e+005 5.2851e+005 1.7871e+005 63785. -86848.-1.8217e+005-1.6629e+005 35998. 0.051860 3.6337 0.19045 (norm 3.04e+002) Iteration 269: loglikelihood = 4107.71420039 (steplength = 5.24288e-014) Parameters: 0.00042525 0.97275 0.039128 -0.17509 -0.73831 0.85008 0.0053398 -0.87969 -0.0077247 0.15184 0.82274 -0.80606 4.5140e-007 0.92413 0.054016 5.2477 Gradients: 2.6637e+006 1.3529e+005 54355. -47271.-1.0590e+005 -89822. -1849.6 -2969.9 33327. 48875. 34799. 171.45 -8.2734e+005 -12.836 -5.6100 0.14564 (norm 1.45e+002) Iteration 270: loglikelihood = 4107.71489662 (steplength = 2.09715e-015) Parameters: 0.00042525 0.97275 0.039128 -0.17509 -0.73831 0.85008 0.0053398 -0.87969 -0.0077247 0.15184 0.82274 -0.80606 4.5008e-007 0.92413 0.054016 5.2477 Gradients: 2.6687e+006 1.4503e+005 63574. -44251.-1.1072e+005 -99929. -10644. -5990.8 32935. 51289. 38512. 2930.6 -5.0200e+005 -8.0036 -1.9435 0.16744 (norm 1.51e+002) Iteration 271: loglikelihood = 4107.72191578 (steplength = 2.048e-008) Parameters: 0.00042480 0.97275 0.039125 -0.17509 -0.73832 0.85008 0.0053399 -0.87969 -0.0077157 0.15185 0.82275 -0.80607 4.4997e-007 0.92413 0.054016 5.2477 Gradients: 6.7360e+006 2.2666e+005 26718.-1.5706e+005-2.1138e+005-1.0607e+005 1.0223e+005 28964. 89056. 94492. 43194. -32873. -5.4323e+005 -8.7827 -2.4649 0.14974 (norm 1.94e+002) Iteration 272: loglikelihood = 4107.73482942 (steplength = 2.048e-008) Parameters: 0.00042481 0.97274 0.039127 -0.17509 -0.73831 0.85007 0.0053338 -0.87968 -0.0077029 0.15185 0.82274 -0.80607 4.4998e-007 0.92413 0.054017 5.2477 Gradients: 6.7111e+006 1.3586e+005 -59666.-1.8576e+005-1.6674e+005 -11496. 1.8501e+005 57430. 92985. 72064. 8419.9 -58891. -5.5303e+005 -8.9247 -2.6837 0.14720 (norm 1.62e+002) Iteration 273: loglikelihood = 4107.73981590 (steplength = 4.1943e-016) Parameters: 0.00042481 0.97274 0.039127 -0.17509 -0.73831 0.85007 0.0053338 -0.87968 -0.0077029 0.15185 0.82274 -0.80607 4.4975e-007 0.92413 0.054017 5.2477 Gradients: -3.2600e+006 -80982. 14568. 85244. 88133. 21082. -76156. -22951. -43855. -38020. -9537.6 24029. -4.1160e+005 -6.5743 -1.2363 0.17589 (norm 1.21e+002) Iteration 274: loglikelihood = 4107.74015717 (steplength = 2.09715e-015) Parameters: 0.00042481 0.97274 0.039127 -0.17509 -0.73831 0.85007 0.0053338 -0.87968 -0.0077029 0.15185 0.82274 -0.80607 4.4879e-007 0.92413 0.054017 5.2477 Gradients: -3.2416e+006 -79945. 15042. 84951. 87351. 20355. -76263. -23005. -43632. -37660. -9259.7 24060. -1.7289e+005 -3.0384 1.4469 0.19096 (norm 1.20e+002) Iteration 275: loglikelihood = 4107.74016504 (steplength = 5.24288e-014) Parameters: 0.00042481 0.97274 0.039127 -0.17509 -0.73831 0.85007 0.0053338 -0.87968 -0.0077029 0.15185 0.82274 -0.80607 4.4879e-007 0.92413 0.054017 5.2477 Gradients: -3.2413e+006 -69773. 24802. 88268. 82398. 9708.5 -85666. -26225. -44104. -35162. -5351.7 27005. -1.7392e+005 -3.0544 1.4442 0.19124 (norm 1.15e+002) Iteration 276: loglikelihood = 4107.75268289 (steplength = 2.048e-008) Parameters: 0.00042449 0.97274 0.039125 -0.17509 -0.73831 0.85007 0.0053331 -0.87967 -0.0076943 0.15186 0.82275 -0.80608 4.4869e-007 0.92413 0.054017 5.2477 Gradients: -2.7248e+005 -14127. -5849.4 4681.7 10863. 9343.7 332.56 523.82 -2950.5 -4573.1 -3424.2 -258.11 -2.0241e+005 -3.6066 1.0620 0.17790 (norm 4.68e+001) Iteration 277: loglikelihood = 4107.76538378 (steplength = 4.096e-009) Parameters: 0.00042437 0.97274 0.039124 -0.17509 -0.73831 0.85007 0.0053297 -0.87967 -0.0076824 0.15188 0.82276 -0.80608 4.4864e-007 0.92413 0.054017 5.2477 Gradients: 2.5562e+006 -11358. -83231. -91282. -32769. 61620. 1.2871e+005 41904. 38505. 12120. -20955. -40762. -2.2827e+005 -4.0717 0.72560 0.16802 (norm 1.11e+002) Iteration 278: loglikelihood = 4107.76765559 (steplength = 2.048e-008) Parameters: 0.00042447 0.97273 0.039124 -0.17509 -0.73831 0.85007 0.0053262 -0.87967 -0.0076792 0.15188 0.82275 -0.80609 4.4865e-007 0.92413 0.054017 5.2477 Gradients: 9.5449e+005 -89363.-1.1278e+005 -61887. 29159. 1.1206e+005 1.2673e+005 42644. 18533. -16147. -40400. -39928. -2.1531e+005 -3.8307 0.81332 0.17200 (norm 1.43e+002) Iteration 279: loglikelihood = 4107.76819956 (steplength = 1.024e-007) Parameters: 0.00042483 0.97272 0.039118 -0.17509 -0.73831 0.85007 0.0053124 -0.87966 -0.0076785 0.15188 0.82275 -0.80609 4.4860e-007 0.92413 0.054018 5.2477 Gradients: -2.2443e+006-1.8525e+005-1.1431e+005 16341. 1.2365e+005 1.5007e+005 67376. 25155. -24122. -57863. -56204. -20917. -1.8558e+005 -3.3634 0.99489 0.17729 (norm 1.77e+002) Iteration 280: loglikelihood = 4107.78784359 (steplength = 0.00032) Parameters: 0.00042399 0.97315 0.038593 -0.17470 -0.73863 0.85055 0.0049722 -0.87830 -0.0090506 0.15201 0.82403 -0.80666 4.4328e-007 0.92380 0.054929 5.2478 Gradients: 5.9432e+006 1.8649e+005 11119.-1.4232e+005-1.7952e+005 -79600. 1.0208e+005 29809. 79158. 80005. 32897. -32900. -2.5139e+005 -9.4631 -8.5697 0.14398 (norm 1.77e+002) Iteration 281: loglikelihood = 4107.79341881 (steplength = 6.4e-005) Parameters: 0.00042418 0.97316 0.038501 -0.17462 -0.73860 0.85044 0.0050293 -0.87801 -0.0095615 0.15207 0.82444 -0.80704 4.4998e-007 0.92340 0.054861 5.2478 Gradients: 4.9882e+006 1.2770e+005 -18314.-1.2884e+005-1.3664e+005 -36660. 1.1229e+005 34152. 67821. 60121. 16566. -35969. -2.4805e+005 -6.6819 -4.6556 0.15552 (norm 1.51e+002) Iteration 282: loglikelihood = 4107.79406839 (steplength = 6.4e-005) Parameters: 0.00042429 0.97305 0.038623 -0.17461 -0.73866 0.85040 0.0051040 -0.87803 -0.0097082 0.15210 0.82455 -0.80723 4.4939e-007 0.92332 0.055018 5.2478 Gradients: 3.8887e+006 68545. -44007.-1.1053e+005 -91427. 3847.0 1.1616e+005 36454. 54374. 39326. 1042.4 -37035. -2.3771e+005 -7.2935 -6.0543 0.15202 (norm 1.20e+002) Iteration 283: loglikelihood = 4107.79570512 (steplength = 0.00032) Parameters: 0.00042453 0.97145 0.040672 -0.17458 -0.74036 0.85122 0.0054783 -0.87802 -0.011081 0.15220 0.82570 -0.80910 4.6336e-007 0.92168 0.055926 5.2481 Gradients: 4.8998e+006 7849.5-1.3076e+005-1.6481e+005 -76872. 87119. 2.1900e+005 70721. 71989. 30100. -28911. -69315. -2.4062e+005 -5.5282 -6.0037 0.14371 (norm 1.42e+002) Iteration 284: loglikelihood = 4107.79570716 (steplength = 6.4e-005) Parameters: 0.00042456 0.97135 0.040794 -0.17460 -0.74041 0.85121 0.0055298 -0.87793 -0.011133 0.15219 0.82577 -0.80909 4.6332e-007 0.92168 0.055924 5.2481 Gradients: 4.7212e+006 -2420.3-1.3556e+005-1.6204e+005 -69198. 94389. 2.2023e+005 71300. 69832. 26559. -31684. -69675. -2.3900e+005 -5.4942 -5.9873 0.14351 (norm 1.42e+002) Iteration 285: loglikelihood = 4107.79572426 (steplength = 6.4e-005) Parameters: 0.00042458 0.97122 0.040913 -0.17454 -0.74052 0.85120 0.0056096 -0.87783 -0.011257 0.15227 0.82579 -0.80910 4.6291e-007 0.92173 0.055890 5.2481 Gradients: 4.5951e+006 -9599.4-1.3888e+005-1.6006e+005 -63813. 99446. 2.2103e+005 71686. 68305. 24076. -33614. -69909. -2.3825e+005 -5.5364 -5.9598 0.14413 (norm 1.44e+002) Iteration 286: loglikelihood = 4107.79984954 (steplength = 0.0016) Parameters: 0.00042467 0.96988 0.042724 -0.17476 -0.74159 0.85163 0.0060283 -0.87702 -0.012568 0.15237 0.82698 -0.81010 4.5666e-007 0.92245 0.055497 5.2494 Gradients: 4.7871e+006 40600. -96138.-1.5027e+005 -91148. 50613. 1.8348e+005 58686. 68839. 37528. -15587. -58205. -2.3953e+005 -6.6129 -6.1134 0.14800 (norm 1.37e+002) Iteration 287: loglikelihood = 4107.80376902 (steplength = 0.00032) Parameters: 0.00042473 0.96858 0.044382 -0.17491 -0.74247 0.85180 0.0065597 -0.87596 -0.013672 0.15278 0.82757 -0.81025 4.6069e-007 0.92187 0.055915 5.2508 Gradients: 4.1553e+006 1.1416e+005 -7744.4-1.0475e+005-1.1762e+005 -38753. 86243. 25993. 56205. 52084. 16844. -27722. -2.2529e+005 -6.1556 -6.6961 0.15649 (norm 1.41e+002) Iteration 288: loglikelihood = 4107.81535047 (steplength = 0.008) Parameters: 0.00042603 0.96644 0.050674 -0.18134 -0.74117 0.85431 0.0049771 -0.87273 -0.020252 0.15831 0.82639 -0.81092 4.6119e-007 0.92168 0.056103 5.2552 Gradients: -3.7723e+006 -48551. 60083. 1.1318e+005 79784. -23000. -1.2991e+005 -40968. -52929. -32915. 6381.6 40992. -1.4167e+005 -5.0732 -6.9400 0.17805 (norm 1.20e+002) Iteration 288: loglikelihood = 4107.81535047 (steplength = 1.31072e-012) Parameters: 0.00042603 0.96644 0.050674 -0.18134 -0.74117 0.85431 0.0049771 -0.87273 -0.020252 0.15831 0.82639 -0.81092 4.6119e-007 0.92168 0.056103 5.2552 Gradients: -3.7723e+006 -48551. 60083. 1.1318e+005 79784. -23000. -1.2991e+005 -40968. -52929. -32915. 6381.6 40992. -1.4167e+005 -5.0732 -6.9400 0.17805 (norm 1.20e+002) Iteration 289: loglikelihood = 4107.81672488 (steplength = 4.1943e-016) Parameters: 0.00042603 0.96644 0.050674 -0.18134 -0.74117 0.85431 0.0049771 -0.87273 -0.020252 0.15831 0.82639 -0.81092 4.6113e-007 0.92168 0.056103 5.2552 Gradients: 2.0832e+006 76836. 15014. -46055. -68547. -40119. 24873. 6839.8 27455. 31169. 16125. -8255.3 -1.7605e+005 -5.7311 -7.2658 0.16464 (norm 1.12e+002) Iteration 290: loglikelihood = 4107.81672747 (steplength = 1.04858e-014) Parameters: 0.00042603 0.96644 0.050674 -0.18134 -0.74117 0.85431 0.0049771 -0.87273 -0.020252 0.15831 0.82639 -0.81092 4.5941e-007 0.92168 0.056103 5.2552 Gradients: 2.0693e+006 68888. 7790.9 -48157. -64458. -32069. 31569. 9145.3 27611. 29129. 13159. -10350. 2.2778e+005 0.22955 -2.7762 0.19173 (norm 1.07e+002) Iteration 291: loglikelihood = 4107.81679590 (steplength = 5.24288e-014) Parameters: 0.00042603 0.96644 0.050674 -0.18134 -0.74117 0.85431 0.0049771 -0.87273 -0.020252 0.15831 0.82639 -0.81092 4.5956e-007 0.92168 0.056103 5.2552 Gradients: 2.0694e+006 28289. -31107. -61307. -44617. 10446. 69062. 21983. 29449. 19107. -2459.1 -22084. 1.9071e+005 -0.31053 -3.2251 0.18834 (norm 8.87e+001) Iteration 292: loglikelihood = 4107.84869494 (steplength = 1.024e-007) Parameters: 0.00042649 0.96642 0.050668 -0.18133 -0.74116 0.85430 0.0049549 -0.87272 -0.020219 0.15835 0.82640 -0.81093 4.5954e-007 0.92168 0.056103 5.2552 Gradients: -1.5050e+006-2.5445e+005-2.0114e+005 -30887. 1.4668e+005 2.3679e+005 1.6494e+005 57835. -10516. -71070. -87715. -51444. 2.2332e+005 0.30226 -3.0616 0.19572 (norm 2.17e+002) Iteration 292: loglikelihood = 4107.84869494 (steplength = 2.09715e-015) Parameters: 0.00042649 0.96642 0.050668 -0.18133 -0.74116 0.85430 0.0049549 -0.87272 -0.020219 0.15835 0.82640 -0.81093 4.5954e-007 0.92168 0.056103 5.2552 Gradients: -1.5050e+006-2.5445e+005-2.0114e+005 -30887. 1.4668e+005 2.3679e+005 1.6494e+005 57835. -10516. -71070. -87715. -51444. 2.2332e+005 0.30226 -3.0616 0.19572 (norm 2.17e+002) Iteration 293: loglikelihood = 4107.84898993 (steplength = 4.1943e-016) Parameters: 0.00042649 0.96642 0.050668 -0.18133 -0.74116 0.85430 0.0049549 -0.87272 -0.020219 0.15835 0.82640 -0.81093 4.5964e-007 0.92168 0.056103 5.2552 Gradients: 9.5479e+005-1.9946e+005-2.1774e+005 -96855. 83363. 2.2718e+005 2.2770e+005 77210. 23110. -43652. -82797. -71479. 1.8152e+005 -0.37634 -3.5034 0.18766 (norm 2.06e+002) Iteration 294: loglikelihood = 4107.85103642 (steplength = 1.04858e-014) Parameters: 0.00042649 0.96642 0.050668 -0.18133 -0.74116 0.85430 0.0049549 -0.87272 -0.020219 0.15835 0.82640 -0.81093 4.6195e-007 0.92168 0.056103 5.2552 Gradients: 8.3089e+005-1.3972e+005-1.5701e+005 -73298. 55994. 1.6220e+005 1.6682e+005 56502. 18651. -29546. -58986. -52442. -3.5827e+005 -8.3593 -9.4664 0.15362 (norm 1.74e+002) Iteration 295: loglikelihood = 4107.85338945 (steplength = 1.04858e-014) Parameters: 0.00042649 0.96642 0.050668 -0.18133 -0.74116 0.85430 0.0049549 -0.87272 -0.020219 0.15835 0.82640 -0.81093 4.5903e-007 0.92168 0.056103 5.2552 Gradients: 8.4211e+005 -5947.0 -29196. -30396. -9574.9 22334. 43851. 14451. 12903. 3658.3 -7577.3 -14030. 3.2909e+005 1.7633 -1.7009 0.20145 (norm 6.64e+001) Iteration 296: loglikelihood = 4107.86817888 (steplength = 1.024e-007) Parameters: 0.00042738 0.96639 0.050664 -0.18132 -0.74115 0.85430 0.0049291 -0.87271 -0.020188 0.15838 0.82642 -0.81094 4.5915e-007 0.92168 0.056102 5.2552 Gradients: -1.0207e+007-4.3582e+005-1.3027e+005 2.0613e+005 3.6381e+005 2.5704e+005 -68842. -15039.-1.3020e+005-1.6482e+005 -99928. 23405. 4.1737e+005 3.4444 -0.84542 0.23193 (norm 2.62e+002) Iteration 297: loglikelihood = 4107.87035839 (steplength = 2.048e-008) Parameters: 0.00042719 0.96636 0.050648 -0.18133 -0.74115 0.85429 0.0049088 -0.87271 -0.020156 0.15842 0.82645 -0.81094 4.5896e-007 0.92168 0.056102 5.2552 Gradients: 8.9397e+006-5.6410e+005-7.9110e+005-4.8566e+005 1.4405e+005 7.6470e+005 9.3197e+005 3.1046e+005 1.5431e+005 -90854.-2.7619e+005-2.9197e+005 2.5078e+005 0.51464 -3.1286 0.16602 (norm 3.70e+002) Iteration 298: loglikelihood = 4107.87975956 (steplength = 2.048e-008) Parameters: 0.00042772 0.96635 0.050642 -0.18132 -0.74115 0.85429 0.0048988 -0.87271 -0.020155 0.15843 0.82646 -0.81094 4.5899e-007 0.92168 0.056101 5.2552 Gradients: 5.5140e+006-6.3482e+005-7.6299e+005-3.9275e+005 2.2878e+005 7.7201e+005 8.3980e+005 2.8168e+005 1.0752e+005-1.2723e+005-2.8058e+005-2.6246e+005 2.8251e+005 1.0710 -2.7676 0.17672 (norm 3.77e+002) Iteration 299: loglikelihood = 4107.88447837 (steplength = 4.096e-009) Parameters: 0.00042809 0.96634 0.050639 -0.18132 -0.74115 0.85429 0.0048932 -0.87272 -0.020154 0.15844 0.82646 -0.81093 4.5903e-007 0.92168 0.056101 5.2552 Gradients: 3.6530e+006-6.7480e+005-7.4939e+005-3.4301e+005 2.7543e+005 7.7765e+005 7.9135e+005 2.6659e+005 82240.-1.4732e+005-2.8356e+005-2.4692e+005 3.0039e+005 1.4078 -2.5187 0.18485 (norm 3.81e+002) Iteration 300: loglikelihood = 4107.88700308 (steplength = 2.56e-006) Parameters: 0.00042866 0.96635 0.050608 -0.18131 -0.74123 0.85439 0.0047977 -0.87265 -0.020149 0.15843 0.82648 -0.81089 4.5921e-007 0.92167 0.056087 5.2552 Gradients: -3.7355e+006-8.5741e+005-7.1685e+005-1.5135e+005 4.7355e+005 8.2479e+005 6.1951e+005 2.1381e+005 -17673.-2.3347e+005-3.0463e+005-1.9172e+005 3.6641e+005 2.6461 -1.7564 0.19857 (norm 4.02e+002) Iteration 301: loglikelihood = 4107.88701885 (steplength = 1.28e-005) Parameters: 0.00042869 0.96635 0.050606 -0.18130 -0.74125 0.85442 0.0047855 -0.87267 -0.020174 0.15843 0.82650 -0.81094 4.5942e-007 0.92167 0.056071 5.2552 Gradients: -4.0450e+006-8.6477e+005-7.1521e+005-1.4323e+005 4.8170e+005 8.2646e+005 6.1205e+005 2.1151e+005 -21869.-2.3700e+005-3.0540e+005-1.8933e+005 3.6923e+005 2.8033 -1.5285 0.19957 (norm 4.03e+002) Iteration 301: loglikelihood = 4107.88701885 (steplength = 4.1943e-016) Parameters: 0.00042869 0.96635 0.050606 -0.18130 -0.74125 0.85442 0.0047855 -0.87267 -0.020174 0.15843 0.82650 -0.81094 4.5942e-007 0.92167 0.056071 5.2552 Gradients: -4.0450e+006-8.6477e+005-7.1521e+005-1.4323e+005 4.8170e+005 8.2646e+005 6.1205e+005 2.1151e+005 -21869.-2.3700e+005-3.0540e+005-1.8933e+005 3.6923e+005 2.8033 -1.5285 0.19957 (norm 4.03e+002) Iteration 302: loglikelihood = 4107.88881156 (steplength = 4.1943e-016) Parameters: 0.00042869 0.96635 0.050606 -0.18130 -0.74125 0.85442 0.0047855 -0.87267 -0.020174 0.15843 0.82650 -0.81094 4.5957e-007 0.92167 0.056071 5.2552 Gradients: 3.3886e+006-6.9623e+005-7.6225e+005-3.4065e+005 2.9001e+005 7.9490e+005 7.9869e+005 2.6933e+005 79204.-1.5418e+005-2.9005e+005-2.4916e+005 2.7586e+005 1.2476 -2.5065 0.18022 (norm 3.85e+002) Iteration 303: loglikelihood = 4107.91638164 (steplength = 1.04858e-014) Parameters: 0.00042869 0.96635 0.050606 -0.18130 -0.74125 0.85442 0.0047855 -0.87267 -0.020174 0.15843 0.82650 -0.81094 4.6349e-007 0.92167 0.056071 5.2552 Gradients: 3.0665e+006-4.4534e+005-5.1272e+005-2.4829e+005 1.7228e+005 5.2587e+005 5.5209e+005 1.8567e+005 63859. -93528.-1.9141e+005-1.7247e+005 -6.4038e+005 -12.363 -12.560 0.12325 (norm 3.12e+002) Iteration 304: loglikelihood = 4107.91760641 (steplength = 1.04858e-014) Parameters: 0.00042869 0.96635 0.050606 -0.18130 -0.74125 0.85442 0.0047855 -0.87267 -0.020174 0.15843 0.82650 -0.81094 4.4826e-007 0.92167 0.056071 5.2552 Gradients: 3.1155e+006-1.2482e+005-2.0686e+005-1.4596e+005 15069. 1.9114e+005 2.5826e+005 85662. 50962. -13505. -68463. -81196. 2.9920e+006 40.667 28.034 0.36566 (norm 1.83e+002) Iteration 305: loglikelihood = 4107.92453779 (steplength = 2.048e-008) Parameters: 0.00042891 0.96635 0.050606 -0.18130 -0.74124 0.85442 0.0047800 -0.87267 -0.020167 0.15844 0.82651 -0.81095 4.4831e-007 0.92167 0.056071 5.2552 Gradients: 4.5330e+005-1.9352e+005-1.9799e+005 -77951. 87797. 2.1118e+005 1.9910e+005 67572. 15088. -45280. -77190. -62155. 3.0092e+006 41.004 28.226 0.37337 (norm 2.00e+002) Iteration 306: loglikelihood = 4107.92454839 (steplength = 1.6384e-010) Parameters: 0.00042892 0.96635 0.050606 -0.18130 -0.74124 0.85442 0.0047798 -0.87267 -0.020167 0.15844 0.82651 -0.81095 4.4832e-007 0.92167 0.056071 5.2552 Gradients: 2.7323e+005-1.9794e+005-1.9718e+005 -73283. 92605. 2.1230e+005 1.9490e+005 66280. 12654. -47372. -77695. -60805. 3.0108e+006 41.033 28.243 0.37413 (norm 2.01e+002) Iteration 307: loglikelihood = 4107.92514636 (steplength = 2.048e-008) Parameters: 0.00042939 0.96633 0.050602 -0.18130 -0.74124 0.85441 0.0047631 -0.87266 -0.020160 0.15844 0.82650 -0.81095 4.4831e-007 0.92167 0.056070 5.2552 Gradients: -6.4879e+006-3.4952e+005-1.5274e+005 1.0683e+005 2.6610e+005 2.3919e+005 23524. 13070. -79485.-1.2238e+005 -91008. -5806.4 3.0683e+006 42.011 28.788 0.38981 (norm 2.35e+002) Iteration 307: loglikelihood = 4107.92514636 (steplength = 4.1943e-016) Parameters: 0.00042939 0.96633 0.050602 -0.18130 -0.74124 0.85441 0.0047631 -0.87266 -0.020160 0.15844 0.82650 -0.81095 4.4831e-007 0.92167 0.056070 5.2552 Gradients: -6.4879e+006-3.4952e+005-1.5274e+005 1.0683e+005 2.6610e+005 2.3919e+005 23524. 13070. -79485.-1.2238e+005 -91008. -5806.4 3.0683e+006 42.011 28.788 0.38981 (norm 2.35e+002) Iteration 308: loglikelihood = 4107.93007098 (steplength = 4.1943e-016) Parameters: 0.00042939 0.96633 0.050602 -0.18130 -0.74124 0.85441 0.0047631 -0.87266 -0.020160 0.15844 0.82650 -0.81095 4.4960e-007 0.92167 0.056070 5.2552 Gradients: 5.6630e+006 -87251.-2.4211e+005-2.1986e+005 -40572. 2.0142e+005 3.4061e+005 1.1185e+005 86389. 9728.3 -71071.-1.0751e+005 2.6615e+006 35.835 24.372 0.34215 (norm 1.92e+002) Iteration 309: loglikelihood = 4107.94455175 (steplength = 2.09715e-015) Parameters: 0.00042939 0.96633 0.050602 -0.18130 -0.74124 0.85441 0.0047631 -0.87266 -0.020160 0.15844 0.82650 -0.81095 4.5671e-007 0.92167 0.056070 5.2552 Gradients: 4.8329e+006 -91150.-2.2256e+005-1.9299e+005 -26457. 1.8932e+005 3.0600e+005 1.0069e+005 74463. 4196.6 -67036. -96538. 9.5512e+005 11.036 5.4329 0.23279 (norm 1.84e+002) Iteration 310: loglikelihood = 4107.94682224 (steplength = 5.24288e-014) Parameters: 0.00042939 0.96633 0.050601 -0.18130 -0.74124 0.85441 0.0047632 -0.87266 -0.020160 0.15844 0.82650 -0.81095 4.5634e-007 0.92167 0.056070 5.2552 Gradients: 4.8268e+006 1.8110e+005 38481.-1.0457e+005-1.5937e+005 -95912. 54324. 15028. 62915. 72052. 37818. -18322. 1.0484e+006 12.358 6.6909 0.24330 (norm 1.71e+002) Iteration 311: loglikelihood = 4107.95426684 (steplength = 2.048e-008) Parameters: 0.00042972 0.96633 0.050601 -0.18129 -0.74124 0.85441 0.0047567 -0.87266 -0.020155 0.15844 0.82651 -0.81096 4.5639e-007 0.92167 0.056070 5.2552 Gradients: 7.2404e+005 77984. 54711. 1028.4 -48707. -67918. -39306. -13753. 7528.9 23831. 25494. 11843. 1.0828e+006 12.992 7.0728 0.25609 (norm 1.17e+002) Iteration 312: loglikelihood = 4107.95474906 (steplength = 4.1943e-016) Parameters: 0.00042972 0.96633 0.050601 -0.18129 -0.74124 0.85441 0.0047567 -0.87266 -0.020155 0.15844 0.82651 -0.81096 4.5685e-007 0.92167 0.056070 5.2552 Gradients: -6.1857e+005 48515. 64105. 36952. -14592. -63231. -73878. -24518. -10782. 9110.8 23105. 22944. 9.8475e+005 11.588 5.9704 0.25194 (norm 1.07e+002) Iteration 313: loglikelihood = 4107.95631470 (steplength = 2.09715e-015) Parameters: 0.00042972 0.96633 0.050601 -0.18129 -0.74124 0.85441 0.0047567 -0.87266 -0.020155 0.15844 0.82651 -0.81096 4.6258e-007 0.92167 0.056070 5.2552 Gradients: 1.4419e+006 82070. 38515. -21946. -61235. -58200. -10052. -4331.8 17805. 28786. 22277. 2561.7 -3.8154e+005 -8.5756 -9.2281 0.15754 (norm 1.15e+002) Iteration 314: loglikelihood = 4107.95651026 (steplength = 5.24288e-014) Parameters: 0.00042972 0.96633 0.050601 -0.18129 -0.74124 0.85441 0.0047567 -0.87266 -0.020155 0.15844 0.82651 -0.81096 4.6248e-007 0.92167 0.056070 5.2552 Gradients: 1.4406e+006 2368.0 -37820. -47727. -22279. 25244. 63484. 20708. 21135. 8889.1 -8413.1 -20296. -3.5935e+005 -8.2356 -9.0464 0.15779 (norm 7.71e+001) Iteration 315: loglikelihood = 4107.96060253 (steplength = 2.048e-008) Parameters: 0.00043005 0.96632 0.050600 -0.18129 -0.74124 0.85441 0.0047503 -0.87266 -0.020149 0.15845 0.82651 -0.81096 4.6252e-007 0.92167 0.056070 5.2552 Gradients: -2.6508e+006-1.0233e+005 -23487. 56886. 88926. 55119. -28101. -7419.9 -34049. -39692. -21431. 9263.7 -3.2337e+005 -7.5758 -8.6428 0.17099 (norm 1.28e+002) Iteration 316: loglikelihood = 4107.97510600 (steplength = 2.048e-008) Parameters: 0.00043017 0.96630 0.050591 -0.18129 -0.74124 0.85440 0.0047377 -0.87266 -0.020140 0.15846 0.82652 -0.81096 4.6240e-007 0.92167 0.056070 5.2552 Gradients: -2.4447e+006-1.3452e+005 -60159. 39415. 1.0159e+005 92864. 11162. 5751.1 -29687. -46557. -35162. -2956.5 -3.2369e+005 -7.6564 -8.7887 0.16389 (norm 1.46e+002) Iteration 317: loglikelihood = 4107.97528143 (steplength = 4.1943e-016) Parameters: 0.00043017 0.96630 0.050591 -0.18129 -0.74124 0.85440 0.0047377 -0.87266 -0.020140 0.15846 0.82652 -0.81096 4.6227e-007 0.92167 0.056070 5.2552 Gradients: 2.2505e+006 -33212. -94566. -86617. -16745. 78296. 1.3356e+005 43947. 34351. 4385.8 -27546. -42273. -3.2645e+005 -7.8041 -8.7767 0.15571 (norm 1.20e+002) Iteration 318: loglikelihood = 4107.97531149 (steplength = 1.04858e-014) Parameters: 0.00043017 0.96630 0.050591 -0.18129 -0.74124 0.85440 0.0047377 -0.87266 -0.020140 0.15846 0.82652 -0.81096 4.5878e-007 0.92167 0.056070 5.2552 Gradients: 2.1409e+006 -10510. -69743. -75554. -26230. 52381. 1.0755e+005 35184. 31815. 9459.4 -18071. -34171. 4.9362e+005 4.2888 0.37272 0.21117 (norm 1.03e+002) Iteration 319: loglikelihood = 4107.97542073 (steplength = 5.24288e-014) Parameters: 0.00043017 0.96630 0.050591 -0.18129 -0.74124 0.85440 0.0047377 -0.87266 -0.020140 0.15846 0.82652 -0.81096 4.5941e-007 0.92167 0.056070 5.2552 Gradients: 2.1385e+006 1.1657e+005 52115. -34271. -88256. -80756. -9918.9 -4761.5 26495. 41188. 30879. 2293.8 3.4664e+005 2.1093 -1.1592 0.20313 (norm 1.36e+002) Iteration 320: loglikelihood = 4107.98004631 (steplength = 2.048e-008) Parameters: 0.00043051 0.96630 0.050591 -0.18129 -0.74123 0.85440 0.0047312 -0.87266 -0.020134 0.15847 0.82652 -0.81096 4.5946e-007 0.92167 0.056070 5.2552 Gradients: -2.3951e+006 2090.4 69358. 81996. 34116. -49254. -1.1271e+005 -36426. -34648. -12151. 17127. 35494. 3.8649e+005 2.8364 -0.71386 0.21714 (norm 1.02e+002) Iteration 321: loglikelihood = 4107.98677311 (steplength = 4.096e-009) Parameters: 0.00043092 0.96628 0.050586 -0.18129 -0.74123 0.85440 0.0047195 -0.87266 -0.020123 0.15849 0.82653 -0.81096 4.5945e-007 0.92167 0.056070 5.2552 Gradients: -8.1611e+006-1.9767e+005 39208. 2.1206e+005 2.1603e+005 47542. -1.9324e+005 -59699.-1.1013e+005 -93461. -21172. 62199. 4.3723e+005 3.7433 -0.22175 0.23075 (norm 1.89e+002) Iteration 322: loglikelihood = 4108.00200854 (steplength = 4.096e-009) Parameters: 0.00043096 0.96627 0.050583 -0.18129 -0.74123 0.85440 0.0047109 -0.87265 -0.020109 0.15850 0.82654 -0.81097 4.5939e-007 0.92167 0.056069 5.2552 Gradients: -7.8095e+006-3.2487e+005 -92676. 1.5874e+005 2.7285e+005 1.8761e+005 -59487. -14606. -99782.-1.2329e+005 -72420. 20711. 4.3426e+005 3.6809 -0.40167 0.22629 (norm 2.27e+002) Iteration 323: loglikelihood = 4108.01526528 (steplength = 2.56e-006) Parameters: 0.00043082 0.96633 0.050542 -0.18125 -0.74134 0.85461 0.0045804 -0.87254 -0.020077 0.15853 0.82662 -0.81089 4.5998e-007 0.92166 0.056042 5.2552 Gradients: 8.1824e+006-4.9164e+005-6.9970e+005-4.3545e+005 1.2048e+005 6.7410e+005 8.2936e+005 2.7560e+005 1.3814e+005 -79029.-2.4403e+005-2.5918e+005 3.2191e+005 2.2182 -1.2048 0.19204 (norm 3.47e+002) Iteration 324: loglikelihood = 4108.01964585 (steplength = 1.024e-007) Parameters: 0.00043103 0.96632 0.050531 -0.18124 -0.74136 0.85463 0.0045527 -0.87252 -0.020077 0.15853 0.82662 -0.81088 4.5999e-007 0.92165 0.056038 5.2552 Gradients: 4.8210e+006-5.8010e+005-6.9055e+005-3.5070e+005 2.1274e+005 7.0120e+005 7.5665e+005 2.5320e+005 93058.-1.1928e+005-2.5545e+005-2.3556e+005 3.4846e+005 2.6694 -0.98234 0.19630 (norm 3.59e+002) Iteration 325: loglikelihood = 4108.02061766 (steplength = 6.4e-005) Parameters: 0.00043113 0.96633 0.050531 -0.18126 -0.74135 0.85463 0.0045438 -0.87251 -0.020190 0.15853 0.82673 -0.81103 4.6669e-007 0.92146 0.055693 5.2552 Gradients: 2.8850e+006-6.2796e+005-6.8242e+005-3.0101e+005 2.6429e+005 7.1358e+005 7.1202e+005 2.3937e+005 67019.-1.4166e+005-2.6084e+005-2.2112e+005 3.6443e+005 6.4202 4.8833 0.21783 (norm 3.65e+002) Iteration 326: loglikelihood = 4108.02067877 (steplength = 6.4e-005) Parameters: 0.00043121 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045239 -0.87250 -0.020326 0.15853 0.82686 -0.81121 4.6629e-007 0.92148 0.055698 5.2552 Gradients: 1.5890e+006-6.6178e+005-6.7866e+005-2.6830e+005 2.9968e+005 7.2374e+005 6.8376e+005 2.3066e+005 49646.-1.5709e+005-2.6513e+005-2.1194e+005 3.7465e+005 6.4056 4.7459 0.21953 (norm 3.70e+002) Iteration 326: loglikelihood = 4108.02067877 (steplength = 3.2768e-011) Parameters: 0.00043121 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045239 -0.87250 -0.020326 0.15853 0.82686 -0.81121 4.6629e-007 0.92148 0.055698 5.2552 Gradients: 1.5890e+006-6.6178e+005-6.7866e+005-2.6830e+005 2.9968e+005 7.2374e+005 6.8376e+005 2.3066e+005 49646.-1.5709e+005-2.6513e+005-2.1194e+005 3.7465e+005 6.4056 4.7459 0.21953 (norm 3.70e+002) Iteration 327: loglikelihood = 4108.02156470 (steplength = 4.1943e-016) Parameters: 0.00043121 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045239 -0.87250 -0.020326 0.15853 0.82686 -0.81121 4.6645e-007 0.92148 0.055698 5.2552 Gradients: -1.8447e+006-7.2608e+005-6.4447e+005-1.7347e+005 3.8109e+005 7.2415e+005 5.8558e+005 1.9966e+005 2613.6-1.9163e+005-2.6676e+005-1.8042e+005 3.6185e+005 6.2888 4.5801 0.22478 (norm 3.74e+002) Iteration 328: loglikelihood = 4108.04786103 (steplength = 1.04858e-014) Parameters: 0.00043121 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045239 -0.87250 -0.020326 0.15853 0.82686 -0.81121 4.7382e-007 0.92148 0.055698 5.2552 Gradients: -5.6840e+005-2.6405e+005-2.3703e+005 -66323. 1.3713e+005 2.6510e+005 2.1723e+005 74102. 2589.9 -68887. -97510. -67084. -1.3515e+006 -19.267 -14.310 0.11318 (norm 2.26e+002) Iteration 329: loglikelihood = 4108.05127975 (steplength = 1.04858e-014) Parameters: 0.00043121 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045239 -0.87250 -0.020326 0.15853 0.82686 -0.81121 4.6149e-007 0.92148 0.055698 5.2552 Gradients: -5.8732e+005 66152. 80138. 41606. -23679. -81129. -88750. -29493. -10878. 13839. 29716. 27435. 1.5290e+006 23.232 18.134 0.31026 (norm 1.22e+002) Iteration 330: loglikelihood = 4108.05187519 (steplength = 4.096e-009) Parameters: 0.00043129 0.96633 0.050534 -0.18127 -0.74135 0.85466 0.0045225 -0.87250 -0.020325 0.15853 0.82686 -0.81121 4.6150e-007 0.92148 0.055698 5.2552 Gradients: -1.7759e+006 37613. 85944. 72386. 7557.7 -74409. -1.1693e+005 -38260. -26907. 311.92 26739. 36557. 1.5378e+006 23.395 18.231 0.31320 (norm 1.15e+002) Iteration 331: loglikelihood = 4108.05410310 (steplength = 8.192e-010) Parameters: 0.00043145 0.96633 0.050533 -0.18127 -0.74135 0.85466 0.0045188 -0.87250 -0.020322 0.15854 0.82686 -0.81121 4.6153e-007 0.92148 0.055698 5.2552 Gradients: -4.2809e+006 -26286. 94569. 1.3602e+005 75204. -56321. -1.7284e+005 -55564. -60533. -29130. 19026. 54711. 1.5542e+006 23.701 18.402 0.31955 (norm 1.31e+002) Iteration 332: loglikelihood = 4108.07026588 (steplength = 4.096e-009) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6160e-007 0.92148 0.055698 5.2552 Gradients: -9.6297e+006-2.8764e+005 -7038.0 2.3095e+005 2.8033e+005 1.1313e+005 -1.7660e+005 -53530.-1.2734e+005-1.2322e+005 -45378. 57913. 1.5679e+006 24.025 18.387 0.32706 (norm 2.21e+002) Iteration 332: loglikelihood = 4108.07026588 (steplength = 1.34218e-019) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6160e-007 0.92148 0.055698 5.2552 Gradients: -9.6297e+006-2.8764e+005 -7038.0 2.3095e+005 2.8033e+005 1.1313e+005 -1.7660e+005 -53530.-1.2734e+005-1.2322e+005 -45378. 57913. 1.5679e+006 24.025 18.387 0.32706 (norm 2.21e+002) Iteration 333: loglikelihood = 4108.07655598 (steplength = 8.38861e-017) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6173e-007 0.92148 0.055698 5.2552 Gradients: -5.3136e+006-1.9511e+005 -38625. 1.1577e+005 1.7246e+005 1.0035e+005 -64149. -18197. -68729. -76966. -38913. 21603. 1.5055e+006 23.013 17.715 0.31596 (norm 1.78e+002) Iteration 334: loglikelihood = 4108.07983809 (steplength = 2.09715e-015) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6479e-007 0.92148 0.055698 5.2552 Gradients: -5.4343e+006-1.9240e+005 -32661. 1.2072e+005 1.7289e+005 95164. -72187. -20840. -70577. -76928. -37054. 24128. 7.8175e+005 12.414 9.6416 0.26783 (norm 1.77e+002) Iteration 335: loglikelihood = 4108.08000511 (steplength = 5.24288e-014) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6466e-007 0.92148 0.055698 5.2552 Gradients: -5.4353e+006 -71115. 83671. 1.6016e+005 1.1374e+005 -31892. -1.8430e+005 -58758. -75352. -46438. 9652.4 58710. 8.1357e+005 12.864 10.087 0.27212 (norm 1.44e+002) Iteration 335: loglikelihood = 4108.08000511 (steplength = 1.67772e-017) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6466e-007 0.92148 0.055698 5.2552 Gradients: -5.4353e+006 -71115. 83671. 1.6016e+005 1.1374e+005 -31892. -1.8430e+005 -58758. -75352. -46438. 9652.4 58710. 8.1357e+005 12.864 10.087 0.27212 (norm 1.44e+002) Iteration 336: loglikelihood = 4108.08200307 (steplength = 8.38861e-017) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6473e-007 0.92148 0.055698 5.2552 Gradients: -3.0020e+006 -19272. 65552. 95120. 53087. -38755. -1.2060e+005 -38737. -42299. -20444. 13172. 38146. 7.8041e+005 12.323 9.7346 0.26594 (norm 1.10e+002) Iteration 337: loglikelihood = 4108.08287537 (steplength = 2.09715e-015) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6631e-007 0.92148 0.055698 5.2552 Gradients: -3.0583e+006 -23841. 62743. 95534. 56137. -35067. -1.1896e+005 -38148. -42933. -21893. 11794. 37663. 4.0974e+005 6.8719 5.5919 0.24135 (norm 1.10e+002) Iteration 338: loglikelihood = 4108.08292527 (steplength = 5.24288e-014) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6623e-007 0.92148 0.055698 5.2552 Gradients: -3.0578e+006 -89952. -667.50 74036. 88379. 34190. -57855. -17480. -40331. -38513. -13665. 18813. 4.2834e+005 7.1550 5.7495 0.24166 (norm 1.24e+002) Iteration 338: loglikelihood = 4108.08292527 (steplength = 8.38861e-017) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6623e-007 0.92148 0.055698 5.2552 Gradients: -3.0578e+006 -89952. -667.50 74036. 88379. 34190. -57855. -17480. -40331. -38513. -13665. 18813. 4.2834e+005 7.1550 5.7495 0.24166 (norm 1.24e+002) Iteration 339: loglikelihood = 4108.08355733 (steplength = 8.38861e-017) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6626e-007 0.92148 0.055698 5.2552 Gradients: -1.6890e+006 -60665. -10741. 37489. 54197. 30199. -22138. -6256.5 -21742. -23860. -11638. 7281.6 4.1044e+005 6.8618 5.5612 0.23850 (norm 9.94e+001) Iteration 340: loglikelihood = 4108.08379296 (steplength = 2.09715e-015) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6709e-007 0.92148 0.055698 5.2552 Gradients: -1.7164e+006 -59686. -9038.1 38730. 54118. 28640. -24299. -6970.2 -22176. -23760. -11076. 7958.5 2.1704e+005 4.0108 3.4012 0.22545 (norm 9.89e+001) Iteration 341: loglikelihood = 4108.08380819 (steplength = 5.24288e-014) Parameters: 0.00043177 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045028 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6705e-007 0.92148 0.055698 5.2552 Gradients: -1.7163e+006 -23438. 25721. 50507. 36436. -9326.5 -57790. -18298. -23599. -14646. 2881.1 18289. 2.2744e+005 4.1596 3.5443 0.22678 (norm 8.10e+001) Iteration 342: loglikelihood = 4108.08383303 (steplength = 8.192e-010) Parameters: 0.00043179 0.96631 0.050527 -0.18126 -0.74134 0.85466 0.0045025 -0.87249 -0.020301 0.15856 0.82688 -0.81122 4.6705e-007 0.92148 0.055698 5.2552 Gradients: -2.0196e+006 -30809. 27106. 58317. 44439. -7518.6 -64888. -20509. -27683. -18114. 2092.3 20593. 2.2997e+005 4.2051 3.5726 0.22747 (norm 8.73e+001) Iteration 343: loglikelihood = 4108.10823417 (steplength = 1.024e-007) Parameters: 0.00043470 0.96619 0.050472 -0.18127 -0.74134 0.85462 0.0044082 -0.87251 -0.020247 0.15865 0.82695 -0.81121 4.6661e-007 0.92148 0.055699 5.2552 Gradients: -2.2264e+007-8.8905e+005-2.3445e+005 4.5662e+005 7.5450e+005 4.9690e+005 -1.9736e+005 -53826.-2.8461e+005-3.3976e+005-1.9016e+005 70000. 4.3550e+005 7.5536 5.2732 0.26302 (norm 3.77e+002) Iteration 344: loglikelihood = 4108.13977140 (steplength = 8.38861e-017) Parameters: 0.00043470 0.96619 0.050472 -0.18127 -0.74134 0.85462 0.0044082 -0.87251 -0.020247 0.15865 0.82695 -0.81121 4.6665e-007 0.92148 0.055699 5.2552 Gradients: -1.1181e+007-6.4865e+005-3.1188e+005 1.6321e+005 4.7717e+005 4.6120e+005 87822. 35922.-1.3504e+005-2.2129e+005-1.7306e+005 -22252. 3.4760e+005 5.9999 4.3195 0.23914 (norm 3.22e+002) Iteration 345: loglikelihood = 4108.14605462 (steplength = 1.04858e-014) Parameters: 0.00043470 0.96619 0.050472 -0.18127 -0.74134 0.85462 0.0044082 -0.87251 -0.020247 0.15865 0.82695 -0.81121 4.6937e-007 0.92148 0.055699 5.2552 Gradients: -1.1215e+007-4.9661e+005-1.6487e+005 2.1412e+005 4.0376e+005 3.0126e+005 -54471. -11914.-1.4133e+005-1.8320e+005-1.1440e+005 21390. -2.8426e+005 -3.3639 -2.6504 0.19942 (norm 2.79e+002) Iteration 346: loglikelihood = 4108.14755586 (steplength = 1.04858e-014) Parameters: 0.00043470 0.96619 0.050472 -0.18127 -0.74134 0.85462 0.0044082 -0.87251 -0.020247 0.15865 0.82695 -0.81121 4.6281e-007 0.92148 0.055699 5.2552 Gradients: -1.1198e+007-2.8456e+005 38376. 2.8297e+005 3.0043e+005 79439. -2.5001e+005 -77682.-1.4920e+005-1.2975e+005 -33017. 81331. 1.2563e+006 19.291 14.697 0.30427 (norm 2.25e+002) Iteration 347: loglikelihood = 4108.16130671 (steplength = 1.024e-007) Parameters: 0.00043509 0.96617 0.050467 -0.18126 -0.74133 0.85462 0.0043867 -0.87250 -0.020212 0.15869 0.82696 -0.81122 4.6283e-007 0.92148 0.055699 5.2552 Gradients: -1.7864e+007-7.9162e+005-2.6404e+005 3.3970e+005 6.4262e+005 4.8061e+005 -85302. -19305.-2.2548e+005-2.9198e+005-1.8209e+005 34398. 1.2863e+006 19.920 14.771 0.31219 (norm 3.52e+002) Iteration 348: loglikelihood = 4108.16994455 (steplength = 8.192e-010) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.6281e-007 0.92148 0.055699 5.2552 Gradients: -1.4445e+007-8.8418e+005-4.4807e+005 1.9465e+005 6.3813e+005 6.4426e+005 1.5697e+005 60064.-1.7325e+005-2.9756e+005-2.4085e+005 -41147. 1.2563e+006 19.414 14.325 0.30099 (norm 3.77e+002) Iteration 348: loglikelihood = 4108.16994455 (steplength = 1.07374e-021) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.6281e-007 0.92148 0.055699 5.2552 Gradients: -1.4445e+007-8.8418e+005-4.4807e+005 1.9465e+005 6.3813e+005 6.4426e+005 1.5697e+005 60064.-1.7325e+005-2.9756e+005-2.4085e+005 -41147. 1.2563e+006 19.414 14.325 0.30099 (norm 3.77e+002) Iteration 349: loglikelihood = 4108.18315189 (steplength = 8.38861e-017) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.6292e-007 0.92148 0.055699 5.2552 Gradients: -6.7633e+006-7.1717e+005-5.0089e+005 -7918.9 4.4618e+005 6.1909e+005 3.5379e+005 1.2222e+005 -69793.-2.1570e+005-2.2913e+005-1.0502e+005 1.1798e+006 18.127 13.504 0.28454 (norm 3.54e+002) Iteration 350: loglikelihood = 4108.19249133 (steplength = 1.04858e-014) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.7473e-007 0.92148 0.055699 5.2552 Gradients: -7.0699e+006-4.9344e+005-2.7745e+005 75562. 3.4185e+005 3.7874e+005 1.3270e+005 48223. -82415.-1.6076e+005-1.4106e+005 -37305. -1.5623e+006 -22.503 -17.025 0.10407 (norm 2.85e+002) Iteration 351: loglikelihood = 4108.20321836 (steplength = 1.04858e-014) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.7176e-007 0.92148 0.055699 5.2552 Gradients: -7.0671e+006-2.0099e+005 3387.9 1.7114e+005 1.9962e+005 72412. -1.3784e+005 -42513. -93153. -86860. -28682. 45371. -8.7756e+005 -12.323 -9.1683 0.15440 (norm 1.86e+002) Iteration 351: loglikelihood = 4108.20321836 (steplength = 4.1943e-016) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.7176e-007 0.92148 0.055699 5.2552 Gradients: -7.0671e+006-2.0099e+005 3387.9 1.7114e+005 1.9962e+005 72412. -1.3784e+005 -42513. -93153. -86860. -28682. 45371. -8.7756e+005 -12.323 -9.1683 0.15440 (norm 1.86e+002) Iteration 352: loglikelihood = 4108.20639573 (steplength = 8.38861e-017) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.7169e-007 0.92148 0.055699 5.2552 Gradients: -3.3284e+006-1.2065e+005 -23233. 72241. 1.0667e+005 61157. -41161. -11965. -42766. -47261. -23347. 14013. -8.8450e+005 -12.499 -9.2190 0.14860 (norm 1.40e+002) Iteration 353: loglikelihood = 4108.20771753 (steplength = 2.09715e-015) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.6979e-007 0.92148 0.055699 5.2552 Gradients: -3.3815e+006-1.1754e+005 -18770. 75036. 1.0592e+005 56859. -46473. -13720. -43638. -46748. -21788. 15661. -4.4603e+005 -5.9841 -4.3105 0.17829 (norm 1.39e+002) Iteration 354: loglikelihood = 4108.20778021 (steplength = 1.04858e-014) Parameters: 0.00043507 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043828 -0.87249 -0.020204 0.15870 0.82697 -0.81122 4.6981e-007 0.92148 0.055699 5.2552 Gradients: -3.3817e+006-1.0141e+005 -3271.2 80319. 98079. 39958. -61409. -18729. -44235. -42675. -15588. 20226. -4.5011e+005 -6.0470 -4.3450 0.17827 (norm 1.31e+002) Iteration 355: loglikelihood = 4108.20807739 (steplength = 4.096e-009) Parameters: 0.00043512 0.96616 0.050465 -0.18126 -0.74133 0.85462 0.0043816 -0.87249 -0.020203 0.15870 0.82697 -0.81122 4.6981e-007 0.92148 0.055699 5.2552 Gradients: -4.6307e+006-1.3237e+005 1653.0 1.1200e+005 1.3113e+005 48038. -89882. -27657. -60918. -56945. -18953. 29538. -4.4099e+005 -5.8821 -4.2479 0.18126 (norm 1.51e+002) Iteration 356: loglikelihood = 4108.24453245 (steplength = 2.048e-008) Parameters: 0.00043544 0.96613 0.050450 -0.18126 -0.74133 0.85461 0.0043573 -0.87249 -0.020174 0.15874 0.82700 -0.81123 4.6961e-007 0.92148 0.055699 5.2552 Gradients: -1.7028e+006-2.6469e+005-2.0689e+005 -29547. 1.5309e+005 2.4378e+005 1.6669e+005 56673. -14401. -75252. -89664. -50048. -4.5375e+005 -6.1969 -4.6292 0.16707 (norm 2.20e+002) Iteration 357: loglikelihood = 4108.25975966 (steplength = 4.096e-009) Parameters: 0.00043592 0.96610 0.050440 -0.18126 -0.74132 0.85461 0.0043419 -0.87250 -0.020158 0.15876 0.82702 -0.81122 4.6955e-007 0.92148 0.055699 5.2552 Gradients: 2.6026e+006-3.4644e+005-4.0503e+005-2.0056e+005 1.3071e+005 4.1347e+005 4.3945e+005 1.4567e+005 49598. -74017.-1.5052e+005-1.3515e+005 -4.6921e+005 -6.4867 -4.8618 0.15819 (norm 2.76e+002) Iteration 358: loglikelihood = 4108.25985591 (steplength = 4.096e-009) Parameters: 0.00043601 0.96610 0.050439 -0.18126 -0.74132 0.85461 0.0043401 -0.87250 -0.020158 0.15876 0.82702 -0.81122 4.6955e-007 0.92148 0.055699 5.2552 Gradients: -3.1371e+005-4.1347e+005-3.8869e+005-1.2516e+005 2.0512e+005 4.2683e+005 3.6831e+005 1.2322e+005 10633.-1.0579e+005-1.5623e+005-1.1196e+005 -4.4997e+005 -6.1477 -4.6715 0.16390 (norm 2.86e+002) Iteration 359: loglikelihood = 4108.26088480 (steplength = 2.56e-006) Parameters: 0.00043614 0.96611 0.050430 -0.18125 -0.74137 0.85467 0.0042981 -0.87246 -0.020156 0.15876 0.82703 -0.81120 4.6948e-007 0.92148 0.055701 5.2552 Gradients: -3.7484e+006-4.8536e+005-3.6262e+005 -33990. 2.8936e+005 4.3515e+005 2.7793e+005 94571. -35534.-1.4143e+005-1.6023e+005 -82646. -4.2651e+005 -5.7618 -4.4958 0.16968 (norm 2.95e+002) Iteration 360: loglikelihood = 4108.26181227 (steplength = 8.38861e-017) Parameters: 0.00043614 0.96611 0.050430 -0.18125 -0.74137 0.85467 0.0042981 -0.87246 -0.020156 0.15876 0.82703 -0.81120 4.6944e-007 0.92148 0.055701 5.2552 Gradients: -1.5873e+006-4.3751e+005-3.7649e+005 -90471. 2.3511e+005 4.2717e+005 3.3235e+005 1.1178e+005 -6584.6-1.1834e+005-1.5671e+005-1.0035e+005 -4.3125e+005 -5.8729 -4.5313 0.16666 (norm 2.88e+002) Iteration 361: loglikelihood = 4108.26764375 (steplength = 1.04858e-014) Parameters: 0.00043614 0.96611 0.050430 -0.18125 -0.74137 0.85467 0.0042981 -0.87246 -0.020156 0.15876 0.82703 -0.81120 4.6458e-007 0.92148 0.055701 5.2552 Gradients: -1.8074e+006-2.5679e+005-1.9664e+005 -23786. 1.5056e+005 2.3353e+005 1.5488e+005 52653. -16150. -73732. -85858. -46289. 7.0801e+005 10.914 8.3016 0.24504 (norm 2.15e+002) Iteration 362: loglikelihood = 4108.27098659 (steplength = 1.04858e-014) Parameters: 0.00043614 0.96611 0.050430 -0.18125 -0.74137 0.85467 0.0042981 -0.87246 -0.020156 0.15876 0.82703 -0.81120 4.6908e-007 0.92148 0.055701 5.2552 Gradients: -1.8178e+006 -12368. 38652. 56828. 32093. -22762. -72019. -23068. -25020. -11944. 7991.5 22689. -3.3764e+005 -4.5371 -3.2196 0.17824 (norm 8.52e+001) Iteration 363: loglikelihood = 4108.28975958 (steplength = 1.024e-007) Parameters: 0.00043654 0.96609 0.050426 -0.18124 -0.74136 0.85467 0.0042776 -0.87245 -0.020122 0.15879 0.82705 -0.81121 4.6893e-007 0.92148 0.055701 5.2552 Gradients: -1.2758e+007-6.4838e+005-2.7018e+005 2.1280e+005 4.9736e+005 4.3017e+005 17635. 11129.-1.5778e+005-2.2838e+005-1.6060e+005 1836.3 -2.4467e+005 -2.9019 -2.4889 0.19629 (norm 3.17e+002) Iteration 364: loglikelihood = 4108.29939666 (steplength = 4.096e-009) Parameters: 0.00043647 0.96608 0.050421 -0.18124 -0.74136 0.85466 0.0042712 -0.87245 -0.020109 0.15881 0.82706 -0.81121 4.6880e-007 0.92148 0.055701 5.2552 Gradients: -1.6929e+006-7.3158e+005-6.5631e+005-1.8352e+005 3.7927e+005 7.3319e+005 5.9986e+005 2.0031e+005 1359.8-1.9391e+005-2.6864e+005-1.8078e+005 -3.0358e+005 -3.9688 -3.3145 0.16909 (norm 3.76e+002) Iteration 364: loglikelihood = 4108.29939666 (steplength = 4.1943e-016) Parameters: 0.00043647 0.96608 0.050421 -0.18124 -0.74136 0.85466 0.0042712 -0.87245 -0.020109 0.15881 0.82706 -0.81121 4.6880e-007 0.92148 0.055701 5.2552 Gradients: -1.6929e+006-7.3158e+005-6.5631e+005-1.8352e+005 3.7927e+005 7.3319e+005 5.9986e+005 2.0031e+005 1359.8-1.9391e+005-2.6864e+005-1.8078e+005 -3.0358e+005 -3.9688 -3.3145 0.16909 (norm 3.76e+002) Iteration 365: loglikelihood = 4108.29971472 (steplength = 4.1943e-016) Parameters: 0.00043647 0.96608 0.050421 -0.18124 -0.74136 0.85466 0.0042712 -0.87245 -0.020109 0.15881 0.82706 -0.81121 4.6867e-007 0.92148 0.055701 5.2552 Gradients: 3.5418e+006-6.0647e+005-6.8073e+005-3.1684e+005 2.4372e+005 7.0421e+005 7.2283e+005 2.3922e+005 71010.-1.3593e+005-2.5679e+005-2.2112e+005 -3.0396e+005 -4.0690 -3.2711 0.16282 (norm 3.61e+002) Iteration 366: loglikelihood = 4108.32182269 (steplength = 1.04858e-014) Parameters: 0.00043647 0.96608 0.050421 -0.18124 -0.74136 0.85466 0.0042712 -0.87245 -0.020109 0.15881 0.82706 -0.81121 4.6296e-007 0.92148 0.055701 5.2552 Gradients: 2.2125e+006 -63002.-1.2149e+005 -94149. -1041.1 1.0885e+005 1.5878e+005 52136. 33690. -4518.5 -39159. -49566. 1.0480e+006 15.771 12.132 0.26051 (norm 1.37e+002) Iteration 367: loglikelihood = 4108.32380362 (steplength = 2.09715e-015) Parameters: 0.00043647 0.96608 0.050421 -0.18124 -0.74136 0.85466 0.0042712 -0.87245 -0.020109 0.15881 0.82706 -0.81121 4.6489e-007 0.92148 0.055701 5.2552 Gradients: 2.2082e+006 -20357. -80365. -80002. -21673. 64086. 1.1909e+005 38935. 32172. 6292.1 -22773. -37544. 5.9453e+005 9.1139 7.1009 0.23196 (norm 1.11e+002) Iteration 368: loglikelihood = 4108.32754705 (steplength = 2.048e-008) Parameters: 0.00043671 0.96607 0.050421 -0.18124 -0.74135 0.85466 0.0042658 -0.87245 -0.020103 0.15882 0.82706 -0.81121 4.6490e-007 0.92148 0.055701 5.2552 Gradients: -5.7373e+006-2.2311e+005 -55712. 1.1807e+005 1.9027e+005 1.2154e+005 -55615. -16183. -73127. -84988. -45680. 20097. 6.4830e+005 10.073 7.6547 0.24769 (norm 1.89e+002) Iteration 369: loglikelihood = 4108.35272813 (steplength = 2.048e-008) Parameters: 0.00043668 0.96605 0.050410 -0.18124 -0.74135 0.85466 0.0042523 -0.87245 -0.020084 0.15884 0.82708 -0.81122 4.6465e-007 0.92148 0.055701 5.2552 Gradients: 3.9324e+006-1.3393e+005-2.3715e+005-1.7462e+005 8879.3 2.1675e+005 3.0291e+005 99272. 60124. -14148. -78268. -94063. 6.0876e+005 9.2375 7.0748 0.22313 (norm 1.93e+002) Iteration 370: loglikelihood = 4108.35441738 (steplength = 4.096e-009) Parameters: 0.00043680 0.96605 0.050409 -0.18124 -0.74135 0.85466 0.0042503 -0.87245 -0.020084 0.15884 0.82708 -0.81121 4.6465e-007 0.92148 0.055701 5.2552 Gradients: 2.3219e+005-2.0972e+005-2.0791e+005 -76474. 98398. 2.2400e+005 2.0446e+005 67893. 10589. -51762. -81702. -62035. 6.3176e+005 9.6440 7.3138 0.23074 (norm 2.06e+002) Iteration 371: loglikelihood = 4108.35466110 (steplength = 2.09715e-015) Parameters: 0.00043680 0.96605 0.050409 -0.18124 -0.74135 0.85466 0.0042503 -0.87245 -0.020084 0.15884 0.82708 -0.81121 4.6598e-007 0.92148 0.055701 5.2552 Gradients: -3.4816e+006-2.6900e+005-1.6237e+005 27604. 1.8013e+005 2.1367e+005 90035. 31224. -39708. -85254. -78711. -25177. 3.4183e+005 5.4425 4.0627 0.21634 (norm 2.12e+002) Iteration 372: loglikelihood = 4108.35592075 (steplength = 4.1943e-016) Parameters: 0.00043680 0.96605 0.050409 -0.18124 -0.74135 0.85466 0.0042503 -0.87245 -0.020084 0.15884 0.82708 -0.81121 4.6804e-007 0.92148 0.055701 5.2552 Gradients: -2.0159e+006-2.0500e+005-1.4128e+005 -118.01 1.2818e+005 1.7520e+005 97567. 33217. -21215. -61710. -64331. -28366. -1.4749e+005 -1.8078 -1.3718 0.18195 (norm 1.88e+002) Iteration 373: loglikelihood = 4108.35713310 (steplength = 1.04858e-014) Parameters: 0.00043680 0.96605 0.050409 -0.18124 -0.74135 0.85466 0.0042503 -0.87245 -0.020084 0.15884 0.82708 -0.81121 4.6733e-007 0.92148 0.055701 5.2552 Gradients: -2.0285e+006-1.0065e+005 -40578. 34604. 77756. 65614. 307.42 965.02 -24878. -35237. -24258. 997.88 19897. 0.65405 0.56093 0.19495 (norm 1.24e+002) Iteration 374: loglikelihood = 4108.36055799 (steplength = 2.048e-008) Parameters: 0.00043695 0.96605 0.050408 -0.18124 -0.74135 0.85466 0.0042458 -0.87245 -0.020078 0.15885 0.82708 -0.81122 4.6734e-007 0.92148 0.055701 5.2552 Gradients: -7.3178e+006-2.4369e+005 -32149. 1.6348e+005 2.2253e+005 1.1231e+005 -1.0830e+005 -33279. -94563. -97827. -42427. 37126. 51450. 1.2279 0.87683 0.20469 (norm 2.00e+002) Iteration 375: loglikelihood = 4108.37973972 (steplength = 4.096e-009) Parameters: 0.00043702 0.96603 0.050403 -0.18124 -0.74135 0.85466 0.0042358 -0.87245 -0.020060 0.15887 0.82709 -0.81122 4.6728e-007 0.92148 0.055701 5.2552 Gradients: -6.0624e+006-3.9628e+005-2.1372e+005 71343. 2.7847e+005 2.9668e+005 90463. 32006. -71884.-1.3037e+005-1.0945e+005 -23459. 38338. 0.99963 0.58656 0.19739 (norm 2.54e+002) Iteration 376: loglikelihood = 4108.38027044 (steplength = 8.192e-010) Parameters: 0.00043708 0.96603 0.050402 -0.18124 -0.74135 0.85466 0.0042343 -0.87245 -0.020058 0.15888 0.82710 -0.81122 4.6729e-007 0.92148 0.055701 5.2552 Gradients: -7.3672e+006-4.5951e+005-2.3860e+005 93833. 3.2765e+005 3.3749e+005 89652. 32124. -88132.-1.5288e+005-1.2460e+005 -22342. 46062. 1.1458 0.65524 0.20002 (norm 2.72e+002) Iteration 377: loglikelihood = 4108.38335568 (steplength = 8.38861e-017) Parameters: 0.00043707 0.96603 0.050402 -0.18124 -0.74135 0.85466 0.0042343 -0.87245 -0.020058 0.15888 0.82710 -0.81122 4.6729e-007 0.92148 0.055701 5.2552 Gradients: -2.4029e+006-3.5180e+005-2.7191e+005 -35675. 2.0477e+005 3.2148e+005 2.1606e+005 72414. -21948.-1.0103e+005-1.1781e+005 -63658. 17181. 0.63150 0.36506 0.19118 (norm 2.52e+002) Iteration 378: loglikelihood = 4108.38662596 (steplength = 1.04858e-014) Parameters: 0.00043707 0.96603 0.050402 -0.18124 -0.74135 0.85466 0.0042343 -0.87245 -0.020058 0.15888 0.82710 -0.81122 4.6733e-007 0.92148 0.055701 5.2552 Gradients: -2.4336e+006-2.0223e+005-1.2720e+005 14541. 1.3269e+005 1.6416e+005 76057. 26091. -27257. -63072. -60302. -21483. 11536. 0.52987 0.38791 0.19314 (norm 1.85e+002) Iteration 379: loglikelihood = 4108.38662696 (steplength = 1.04858e-014) Parameters: 0.00043707 0.96603 0.050402 -0.18124 -0.74135 0.85466 0.0042343 -0.87245 -0.020058 0.15888 0.82710 -0.81122 4.6724e-007 0.92148 0.055701 5.2552 Gradients: -2.4334e+006-2.0218e+005-1.2715e+005 14552. 1.3267e+005 1.6410e+005 76016. 26077. -27256. -63057. -60283. -21470. 32100. 0.83329 0.61758 0.19458 (norm 1.85e+002) Iteration 380: loglikelihood = 4108.38905681 (steplength = 2.048e-008) Parameters: 0.00043722 0.96602 0.050401 -0.18123 -0.74135 0.85466 0.0042298 -0.87245 -0.020052 0.15888 0.82710 -0.81122 4.6725e-007 0.92148 0.055701 5.2552 Gradients: -8.3377e+006-3.6122e+005-1.1734e+005 1.5832e+005 2.9374e+005 2.1555e+005 -45613. -12397.-1.0499e+005-1.3261e+005 -80179. 19077. 67736. 1.4783 0.97791 0.20541 (norm 2.38e+002) Iteration 381: loglikelihood = 4108.39125642 (steplength = 2.048e-008) Parameters: 0.00043719 0.96599 0.050386 -0.18124 -0.74134 0.85465 0.0042083 -0.87244 -0.020014 0.15893 0.82713 -0.81123 4.6701e-007 0.92148 0.055701 5.2552 Gradients: 2.3387e+007-1.6482e+005-8.0222e+005-8.2936e+005-2.5175e+005 6.2880e+005 1.2169e+006 3.9507e+005 3.3190e+005 71396.-2.2594e+005-3.8121e+005 -1.0136e+005 -1.5635 -1.0492 0.13906 (norm 3.49e+002) Iteration 382: loglikelihood = 4108.42373983 (steplength = 2.048e-008) Parameters: 0.00043780 0.96598 0.050382 -0.18123 -0.74134 0.85465 0.0041989 -0.87245 -0.020013 0.15894 0.82714 -0.81122 4.6706e-007 0.92148 0.055701 5.2552 Gradients: -2.7712e+006-7.4943e+005-6.4506e+005-1.5534e+005 4.0204e+005 7.3109e+005 5.6862e+005 1.8814e+005 -14801.-2.0426e+005-2.6708e+005-1.6854e+005 41829. 0.98761 0.36379 0.18536 (norm 3.76e+002) Iteration 382: loglikelihood = 4108.42373983 (steplength = 3.35544e-018) Parameters: 0.00043780 0.96598 0.050382 -0.18123 -0.74134 0.85465 0.0041989 -0.87245 -0.020013 0.15894 0.82714 -0.81122 4.6706e-007 0.92148 0.055701 5.2552 Gradients: -2.7712e+006-7.4943e+005-6.4506e+005-1.5534e+005 4.0204e+005 7.3109e+005 5.6862e+005 1.8814e+005 -14801.-2.0426e+005-2.6708e+005-1.6854e+005 41829. 0.98761 0.36379 0.18536 (norm 3.76e+002) Iteration 383: loglikelihood = 4108.42433833 (steplength = 8.38861e-017) Parameters: 0.00043780 0.96598 0.050382 -0.18123 -0.74134 0.85465 0.0041989 -0.87245 -0.020013 0.15894 0.82714 -0.81122 4.6706e-007 0.92148 0.055701 5.2552 Gradients: -7.4864e+005-7.0299e+005-6.5603e+005-2.0707e+005 3.5087e+005 7.2189e+005 6.1762e+005 2.0377e+005 11982.-1.8262e+005-2.6343e+005-1.8465e+005 30238. 0.78257 0.24966 0.18209 (norm 3.71e+002) Iteration 384: loglikelihood = 4108.44342064 (steplength = 1.04858e-014) Parameters: 0.00043780 0.96598 0.050382 -0.18123 -0.74134 0.85465 0.0041989 -0.87245 -0.020013 0.15894 0.82714 -0.81122 4.6741e-007 0.92148 0.055701 5.2552 Gradients: -1.2986e+006-2.4365e+005-1.9872e+005 -37293. 1.3631e+005 2.2981e+005 1.6662e+005 55365. -10100. -68028. -83899. -49168. -43939. -0.37100 -0.34169 0.18310 (norm 2.12e+002) Iteration 385: loglikelihood = 4108.44343482 (steplength = 2.09715e-015) Parameters: 0.00043780 0.96598 0.050382 -0.18123 -0.74134 0.85465 0.0041989 -0.87245 -0.020013 0.15894 0.82714 -0.81122 4.6723e-007 0.92148 0.055701 5.2552 Gradients: -1.2982e+006-2.4328e+005-1.9838e+005 -37184. 1.3612e+005 2.2944e+005 1.6630e+005 55258. -10107. -67933. -83762. -49071. -1760.6 0.25208 0.12969 0.18613 (norm 2.12e+002) Iteration 386: loglikelihood = 4108.45055329 (steplength = 2.048e-008) Parameters: 0.00043765 0.96598 0.050381 -0.18123 -0.74134 0.85465 0.0041971 -0.87245 -0.020005 0.15895 0.82715 -0.81123 4.6718e-007 0.92148 0.055701 5.2552 Gradients: 6.5880e+006 -78842.-2.5709e+005-2.4423e+005 -55219. 2.1099e+005 3.7267e+005 1.2122e+005 94698. 12065. -75913.-1.1643e+005 -45584. -0.54529 -0.33958 0.17094 (norm 1.98e+002) Iteration 387: loglikelihood = 4108.45424018 (steplength = 4.096e-009) Parameters: 0.00043777 0.96598 0.050381 -0.18123 -0.74134 0.85465 0.0041952 -0.87245 -0.020003 0.15895 0.82715 -0.81123 4.6720e-007 0.92148 0.055701 5.2552 Gradients: 6.8560e+005-2.3575e+005-2.4569e+005-1.0040e+005 1.0438e+005 2.6024e+005 2.4954e+005 82123. 17243. -56487. -94711. -75349. -13672. 0.038053 -0.024593 0.18175 (norm 2.21e+002) Iteration 388: loglikelihood = 4108.45453075 (steplength = 8.192e-010) Parameters: 0.00043782 0.96597 0.050381 -0.18123 -0.74134 0.85465 0.0041944 -0.87245 -0.020002 0.15895 0.82715 -0.81123 4.6721e-007 0.92148 0.055701 5.2552 Gradients: -1.5563e+006-2.9337e+005-2.3948e+005 -45146. 1.6403e+005 2.7688e+005 2.0097e+005 66669. -12234. -82016.-1.0109e+005 -59198. -1227.9 0.26442 0.10137 0.18536 (norm 2.33e+002) Iteration 388: loglikelihood = 4108.45453075 (steplength = 4.1943e-016) Parameters: 0.00043782 0.96597 0.050381 -0.18123 -0.74134 0.85465 0.0041944 -0.87245 -0.020002 0.15895 0.82715 -0.81123 4.6721e-007 0.92148 0.055701 5.2552 Gradients: -1.5563e+006-2.9337e+005-2.3948e+005 -45146. 1.6403e+005 2.7688e+005 2.0097e+005 66669. -12234. -82016.-1.0109e+005 -59198. -1227.9 0.26442 0.10137 0.18536 (norm 2.33e+002) Iteration 389: loglikelihood = 4108.45468689 (steplength = 8.38861e-017) Parameters: 0.00043782 0.96597 0.050381 -0.18123 -0.74134 0.85465 0.0041944 -0.87245 -0.020002 0.15895 0.82715 -0.81123 4.6721e-007 0.92148 0.055701 5.2552 Gradients: -4.0368e+005-2.6751e+005-2.4630e+005 -74803. 1.3518e+005 2.7227e+005 2.2944e+005 75766. 3039.6 -69853. -99254. -68549. -7225.0 0.15708 0.043234 0.18350 (norm 2.28e+002) Iteration 390: loglikelihood = 4108.45720799 (steplength = 1.04858e-014) Parameters: 0.00043782 0.96597 0.050381 -0.18123 -0.74134 0.85465 0.0041944 -0.87245 -0.020002 0.15895 0.82715 -0.81123 4.6710e-007 0.92148 0.055701 5.2552 Gradients: -5.2673e+005-1.1199e+005 -93211. -19424. 61631. 1.0689e+005 79628. 26491. -3499.2 -30712. -38913. -23627. 21661. 0.56800 0.45357 0.18767 (norm 1.44e+002) Iteration 391: loglikelihood = 4108.45720912 (steplength = 2.09715e-015) Parameters: 0.00043782 0.96597 0.050381 -0.18123 -0.74134 0.85465 0.0041944 -0.87245 -0.020002 0.15895 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -5.2686e+005-1.1185e+005 -93077. -19374. 61567. 1.0675e+005 79496. 26447. -3505.3 -30678. -38860. -23587. 3706.0 0.30295 0.25301 0.18624 (norm 1.44e+002) Iteration 392: loglikelihood = 4108.46487041 (steplength = 2.048e-008) Parameters: 0.00043772 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041922 -0.87244 -0.019994 0.15896 0.82715 -0.81123 4.6714e-007 0.92148 0.055701 5.2552 Gradients: 4.7976e+006 -9108.0-1.4061e+005-1.6178e+005 -63532. 1.0297e+005 2.2643e+005 73539. 67491. 21162. -36785. -71386. -25207. -0.22518 -0.064593 0.17632 (norm 1.46e+002) Iteration 393: loglikelihood = 4108.46836993 (steplength = 4.096e-009) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -3.8104e+006-2.4731e+005-1.3313e+005 44706. 1.7363e+005 1.8460e+005 55669. 19313. -45165. -81127. -67687. -14020. 20834. 0.61879 0.38701 0.19073 (norm 2.00e+002) Iteration 393: loglikelihood = 4108.46836993 (steplength = 1.67772e-017) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -3.8104e+006-2.4731e+005-1.3313e+005 44706. 1.7363e+005 1.8460e+005 55669. 19313. -45165. -81127. -67687. -14020. 20834. 0.61879 0.38701 0.19073 (norm 2.00e+002) Iteration 394: loglikelihood = 4108.46914879 (steplength = 8.38861e-017) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -9.3948e+005-1.8503e+005-1.5213e+005 -29803. 1.0285e+005 1.7535e+005 1.2852e+005 42634. -7068.6 -51407. -63950. -37913. 5428.8 0.34458 0.23558 0.18658 (norm 1.85e+002) Iteration 395: loglikelihood = 4108.47010021 (steplength = 1.04858e-014) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -9.5885e+005 -93878. -63863. 895.23 58992. 79459. 43121. 14555. -10129. -28185. -28952. -12365. 6129.7 0.34562 0.29554 0.18753 (norm 1.27e+002) Iteration 395: loglikelihood = 4108.47010021 (steplength = 1.07374e-021) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -9.5885e+005 -93878. -63863. 895.23 58992. 79459. 43121. 14555. -10129. -28185. -28952. -12365. 6129.7 0.34562 0.29554 0.18753 (norm 1.27e+002) Iteration 396: loglikelihood = 4108.47015144 (steplength = 8.38861e-017) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6717e-007 0.92148 0.055701 5.2552 Gradients: -2.3676e+005 -78084. -68517. -17802. 41128. 76998. 61324. 20381. -551.41 -20677. -27963. -18338. 2280.5 0.27702 0.25772 0.18674 (norm 1.22e+002) Iteration 397: loglikelihood = 4108.47033936 (steplength = 1.04858e-014) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6718e-007 0.92148 0.055701 5.2552 Gradients: -2.5149e+005 -37220. -28780. -3839.3 21551. 33889. 22764. 7703.1 -2007.9 -10296. -12230. -6798.0 571.26 0.24866 0.26245 0.18737 (norm 8.19e+001) Iteration 398: loglikelihood = 4108.47033963 (steplength = 5.24288e-014) Parameters: 0.00043790 0.96597 0.050380 -0.18123 -0.74134 0.85465 0.0041890 -0.87244 -0.019990 0.15896 0.82715 -0.81123 4.6707e-007 0.92148 0.055701 5.2552 Gradients: -2.5130e+005 -37136. -28704. -3817.8 21507. 33804. 22695. 7680.1 -2007.9 -10273. -12199. -6777.3 26743. 0.63478 0.55530 0.18904 (norm 8.18e+001) Iteration 399: loglikelihood = 4108.47524734 (steplength = 1.024e-007) Parameters: 0.00043776 0.96595 0.050375 -0.18122 -0.74133 0.85465 0.0041734 -0.87243 -0.019950 0.15901 0.82717 -0.81125 4.6694e-007 0.92148 0.055701 5.2552 Gradients: 1.8632e+007-3.3921e+005-8.3755e+005-7.2691e+005 -98250. 7.1881e+005 1.1605e+006 3.7742e+005 2.6870e+005 1551.2-2.6043e+005-3.6047e+005 -71891. -1.0552 -0.82924 0.14765 (norm 3.57e+002) Iteration 400: loglikelihood = 4108.48656730 (steplength = 4.096e-009) Parameters: 0.00043796 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041703 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 5.3524e+006-7.4548e+005-8.6401e+005-4.2209e+005 2.8571e+005 8.8538e+005 9.3367e+005 3.0536e+005 96255.-1.6571e+005-3.2246e+005-2.8252e+005 -6130.5 0.15077 -0.23263 0.16882 (norm 4.04e+002) Iteration 401: loglikelihood = 4108.48710388 (steplength = 8.192e-010) Parameters: 0.00043799 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041699 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 3.6539e+006-7.8925e+005-8.5954e+005-3.8044e+005 3.3083e+005 8.9811e+005 8.9709e+005 2.9365e+005 73966.-1.8500e+005-3.2726e+005-2.7029e+005 2675.6 0.31105 -0.14465 0.17174 (norm 4.08e+002) Iteration 402: loglikelihood = 4108.48712168 (steplength = 4.096e-009) Parameters: 0.00043799 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041696 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 3.3654e+006-7.9662e+005-8.5871e+005-3.7333e+005 3.3847e+005 9.0019e+005 8.9081e+005 2.9164e+005 70174.-1.8825e+005-3.2804e+005-2.6819e+005 4187.7 0.33636 -0.13309 0.17223 (norm 4.09e+002) Iteration 403: loglikelihood = 4108.48712480 (steplength = 4.096e-009) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041696 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 3.2120e+006-8.0052e+005-8.5826e+005-3.6956e+005 3.4252e+005 9.0129e+005 8.8746e+005 2.9057e+005 68159.-1.8998e+005-3.2846e+005-2.6707e+005 4992.4 0.35039 -0.12623 0.17234 (norm 4.10e+002) Iteration 404: loglikelihood = 4108.48712540 (steplength = 8.192e-010) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041696 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 3.1218e+006-8.0282e+005-8.5800e+005-3.6733e+005 3.4491e+005 9.0194e+005 8.8549e+005 2.8994e+005 66973.-1.9100e+005-3.2870e+005-2.6642e+005 5467.9 0.35808 -0.12263 0.17220 (norm 4.10e+002) Iteration 404: loglikelihood = 4108.48712540 (steplength = 1.6384e-010) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041697 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 3.1218e+006-8.0282e+005-8.5800e+005-3.6733e+005 3.4491e+005 9.0194e+005 8.8549e+005 2.8994e+005 66973.-1.9100e+005-3.2870e+005-2.6642e+005 5467.9 0.35808 -0.12263 0.17220 (norm 4.10e+002) Iteration 405: loglikelihood = 4108.48790324 (steplength = 8.38861e-017) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041697 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6698e-007 0.92148 0.055701 5.2552 Gradients: 6.0173e+005-8.5269e+005-8.3683e+005-3.0054e+005 4.0457e+005 9.0501e+005 8.1721e+005 2.6797e+005 33451.-2.1574e+005-3.3004e+005-2.4409e+005 17924. 0.58005 0.00054172 0.17630 (norm 4.14e+002) Iteration 406: loglikelihood = 4108.51723234 (steplength = 1.04858e-014) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041697 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6728e-007 0.92148 0.055701 5.2552 Gradients: 1.4613e+006-1.4832e+005-1.8258e+005 -96866. 51291. 1.8366e+005 2.0337e+005 66591. 24892. -30762. -66723. -61908. -51495. -0.55788 -0.43559 0.17776 (norm 1.83e+002) Iteration 407: loglikelihood = 4108.51723991 (steplength = 2.09715e-015) Parameters: 0.00043800 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041697 -0.87243 -0.019947 0.15901 0.82717 -0.81125 4.6715e-007 0.92148 0.055701 5.2552 Gradients: 1.4615e+006-1.4815e+005-1.8242e+005 -96815. 51203. 1.8348e+005 2.0322e+005 66542. 24890. -30716. -66658. -61863. -21637. -0.11690 -0.10146 0.17976 (norm 1.83e+002) Iteration 408: loglikelihood = 4108.51841789 (steplength = 4.096e-009) Parameters: 0.00043805 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041687 -0.87243 -0.019946 0.15901 0.82718 -0.81125 4.6715e-007 0.92148 0.055701 5.2552 Gradients: -1.1062e+006-2.1093e+005-1.7238e+005 -32705. 1.1779e+005 1.9916e+005 1.4475e+005 47795. -8923.1 -59003. -72605. -42419. -8078.5 0.12831 0.034476 0.18423 (norm 1.97e+002) Iteration 408: loglikelihood = 4108.51841789 (steplength = 1.07374e-021) Parameters: 0.00043805 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041687 -0.87243 -0.019946 0.15901 0.82718 -0.81125 4.6715e-007 0.92148 0.055701 5.2552 Gradients: -1.1062e+006-2.1093e+005-1.7238e+005 -32705. 1.1779e+005 1.9916e+005 1.4475e+005 47795. -8923.1 -59003. -72605. -42419. -8078.5 0.12831 0.034476 0.18423 (norm 1.97e+002) Iteration 409: loglikelihood = 4108.51849459 (steplength = 8.38861e-017) Parameters: 0.00043805 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041687 -0.87243 -0.019946 0.15901 0.82718 -0.81125 4.6715e-007 0.92148 0.055701 5.2552 Gradients: -2.1720e+005-1.9105e+005-1.7764e+005 -55511. 95632. 1.9568e+005 1.6671e+005 54849. 2836.0 -49688. -71256. -49663. -12365. 0.050890 -0.0069302 0.18282 (norm 1.93e+002) Iteration 410: loglikelihood = 4108.51975567 (steplength = 1.04858e-014) Parameters: 0.00043805 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041687 -0.87243 -0.019946 0.15901 0.82718 -0.81125 4.6700e-007 0.92148 0.055701 5.2552 Gradients: -3.1444e+005 -69712. -58203. -12325. 38232. 66625. 49826. 16546. -2041.5 -18982. -24169. -14766. 27149. 0.62340 0.50147 0.18664 (norm 1.14e+002) Iteration 411: loglikelihood = 4108.51975766 (steplength = 2.09715e-015) Parameters: 0.00043805 0.96594 0.050376 -0.18122 -0.74133 0.85465 0.0041687 -0.87243 -0.019946 0.15901 0.82718 -0.81125 4.6709e-007 0.92148 0.055701 5.2552 Gradients: -3.1459e+005 -69373. -57872. -12208. 38070. 66267. 49504. 16440. -2053.6 -18896. -24038. -14670. 5132.6 0.29825 0.25590 0.18564 (norm 1.14e+002) Iteration 412: loglikelihood = 4108.52048962 (steplength = 4.096e-009) Parameters: 0.00043809 0.96594 0.050376 -0.18122 -0.74132 0.85465 0.0041676 -0.87243 -0.019944 0.15901 0.82718 -0.81125 4.6709e-007 0.92148 0.055701 5.2552 Gradients: -2.9303e+006-1.3370e+005 -48009. 52967. 1.0607e+005 82630. -9701.6 -2544.5 -36485. -47802. -30234. 5035.5 19197. 0.55248 0.39834 0.19039 (norm 1.44e+002) Iteration 413: loglikelihood = 4108.57732546 (steplength = 1.024e-007) Parameters: 0.00043971 0.96585 0.050331 -0.18123 -0.74133 0.85462 0.0040998 -0.87244 -0.019892 0.15910 0.82724 -0.81124 4.6663e-007 0.92148 0.055702 5.2552 Gradients: -1.8103e+007-6.2801e+005-1.0960e+005 3.8804e+005 5.5716e+005 3.0478e+005 -2.3839e+005 -75805.-2.3126e+005-2.4468e+005-1.1127e+005 85696. 1.3125e+005 2.2422 1.1996 0.20085 (norm 3.20e+002) Iteration 414: loglikelihood = 4108.59271124 (steplength = 8.38861e-017) Parameters: 0.00043970 0.96585 0.050331 -0.18123 -0.74133 0.85462 0.0040998 -0.87244 -0.019892 0.15910 0.82724 -0.81124 4.6664e-007 0.92148 0.055702 5.2552 Gradients: -1.9501e+006-2.7896e+005-2.1569e+005 -28555. 1.6187e+005 2.5437e+005 1.7080e+005 55904. -18560. -80201. -92404. -48999. 48625. 0.76659 0.35916 0.17678 (norm 2.24e+002) Iteration 415: loglikelihood = 4108.59454270 (steplength = 1.04858e-014) Parameters: 0.00043970 0.96585 0.050331 -0.18123 -0.74133 0.85462 0.0040998 -0.87244 -0.019892 0.15910 0.82724 -0.81124 4.6704e-007 0.92148 0.055702 5.2552 Gradients: -1.9671e+006-1.2641e+005 -68193. 22581. 88449. 94161. 28406. 9572.6 -23026. -41089. -34134. -6901.7 -43489. -0.60568 -0.59023 0.17306 (norm 1.43e+002) Iteration 416: loglikelihood = 4108.59456213 (steplength = 2.09715e-015) Parameters: 0.00043970 0.96585 0.050331 -0.18123 -0.74133 0.85462 0.0040998 -0.87244 -0.019892 0.15910 0.82724 -0.81124 4.6683e-007 0.92148 0.055702 5.2552 Gradients: -1.9664e+006-1.2465e+005 -66514. 23142. 87588. 92328. 26802. 9050.7 -23065. -40633. -33467. -6428.4 5765.9 0.12053 -0.038755 0.17549 (norm 1.42e+002) Iteration 417: loglikelihood = 4108.59535596 (steplength = 8.192e-010) Parameters: 0.00043967 0.96585 0.050330 -0.18123 -0.74133 0.85462 0.0041000 -0.87244 -0.019891 0.15910 0.82724 -0.81124 4.6682e-007 0.92148 0.055702 5.2552 Gradients: 2.7716e+005 -69477. -74793. -32494. 29457. 78309. 77413. 25317. 6286.5 -16072. -28294. -23295. -4903.3 -0.074333 -0.14609 0.17258 (norm 1.21e+002) Iteration 418: loglikelihood = 4108.59860514 (steplength = 2.048e-008) Parameters: 0.00043978 0.96584 0.050330 -0.18122 -0.74132 0.85462 0.0040983 -0.87244 -0.019887 0.15911 0.82725 -0.81124 4.6685e-007 0.92148 0.055702 5.2552 Gradients: -6.6575e+006-2.4959e+005 -58523. 1.3618e+005 2.1369e+005 1.3170e+005 -70027. -22068. -84143. -94409. -47909. 26208. 27845. 0.53513 0.19107 0.18326 (norm 2.00e+002) Iteration 419: loglikelihood = 4108.59861777 (steplength = 1.31072e-012) Parameters: 0.00043982 0.96584 0.050330 -0.18122 -0.74132 0.85463 0.0040975 -0.87244 -0.019885 0.15911 0.82725 -0.81124 4.6686e-007 0.92148 0.055702 5.2552 Gradients: -9.6491e+006-3.3354e+005 -57556. 2.0683e+005 2.9615e+005 1.6127e+005 -1.2780e+005 -40627.-1.2297e+005-1.2979e+005 -58736. 45851. 42129. 0.80215 0.33844 0.18856 (norm 2.33e+002) Iteration 420: loglikelihood = 4108.60293940 (steplength = 8.38861e-017) Parameters: 0.00043982 0.96584 0.050330 -0.18122 -0.74132 0.85463 0.0040975 -0.87244 -0.019885 0.15911 0.82725 -0.81124 4.6686e-007 0.92148 0.055702 5.2552 Gradients: -9.2912e+005-1.4527e+005-1.1489e+005 -17987. 82920. 1.3423e+005 93148. 30523. -8195.7 -41118. -48663. -26899. -557.33 0.038672 -0.083743 0.17541 (norm 1.62e+002) Iteration 421: loglikelihood = 4108.60345218 (steplength = 1.04858e-014) Parameters: 0.00043982 0.96584 0.050330 -0.18122 -0.74132 0.85463 0.0040975 -0.87244 -0.019885 0.15911 0.82725 -0.81124 4.6681e-007 0.92148 0.055702 5.2552 Gradients: -9.3595e+005 -63517. -35893. 9359.4 43556. 48415. 16930. 5736.6 -10546. -20141. -17455. -4381.5 13528. 0.24052 0.11591 0.17744 (norm 1.02e+002) Iteration 422: loglikelihood = 4108.60345220 (steplength = 4.1943e-016) Parameters: 0.00043982 0.96584 0.050330 -0.18122 -0.74132 0.85463 0.0040975 -0.87244 -0.019885 0.15911 0.82725 -0.81124 4.6682e-007 0.92148 0.055702 5.2552 Gradients: -9.3597e+005 -63504. -35880. 9364.5 43550. 48401. 16916. 5732.3 -10547. -20137. -17450. -4377.5 11924. 0.21654 0.097752 0.17743 (norm 1.02e+002) Iteration 423: loglikelihood = 4108.60399560 (steplength = 8.192e-010) Parameters: 0.00043979 0.96584 0.050330 -0.18122 -0.74132 0.85463 0.0040977 -0.87244 -0.019884 0.15911 0.82725 -0.81124 4.6681e-007 0.92148 0.055702 5.2552 Gradients: 1.7127e+006 1584.7 -45673. -56293. -25026. 31904. 76686. 24954. 24091. 8821.8 -11379. -24305. -586.77 -0.011885 -0.025378 0.17341 (norm 8.43e+001) Iteration 424: loglikelihood = 4108.60556194 (steplength = 2.048e-008) Parameters: 0.00043990 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040962 -0.87244 -0.019880 0.15911 0.82725 -0.81124 4.6684e-007 0.92148 0.055702 5.2552 Gradients: -6.6283e+006-2.1088e+005 -22070. 1.4796e+005 1.9452e+005 91692. -1.0458e+005 -33343. -84802. -84302. -33335. 36419. 39330. 0.72740 0.38347 0.18731 (norm 1.87e+002) Iteration 424: loglikelihood = 4108.60556194 (steplength = 1.34218e-019) Parameters: 0.00043990 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040962 -0.87244 -0.019880 0.15911 0.82725 -0.81124 4.6684e-007 0.92148 0.055702 5.2552 Gradients: -6.6283e+006-2.1088e+005 -22070. 1.4796e+005 1.9452e+005 91692. -1.0458e+005 -33343. -84802. -84302. -33335. 36419. 39330. 0.72740 0.38347 0.18731 (norm 1.87e+002) Iteration 425: loglikelihood = 4108.60758857 (steplength = 8.38861e-017) Parameters: 0.00043990 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040962 -0.87244 -0.019880 0.15911 0.82725 -0.81124 4.6684e-007 0.92148 0.055702 5.2552 Gradients: -6.0192e+005 -80943. -61838. -7424.6 47279. 73196. 48262. 15896. -5479.5 -23083. -26461. -13919. 9971.3 0.20370 0.095129 0.17853 (norm 1.20e+002) Iteration 426: loglikelihood = 4108.60773835 (steplength = 1.04858e-014) Parameters: 0.00043990 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040962 -0.87244 -0.019880 0.15911 0.82725 -0.81124 4.6692e-007 0.92148 0.055702 5.2552 Gradients: -6.0508e+005 -36294. -18710. 7492.2 25771. 26338. 6660.2 2368.0 -6750.8 -11618. -9417.3 -1630.2 -6396.4 -0.041284 -0.063367 0.17769 (norm 7.60e+001) Iteration 427: loglikelihood = 4108.60774006 (steplength = 1.04858e-014) Parameters: 0.00043990 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040962 -0.87244 -0.019880 0.15911 0.82725 -0.81124 4.6673e-007 0.92148 0.055702 5.2552 Gradients: -6.0465e+005 -35313. -17776. 7803.1 25291. 25318. 5768.7 2078.1 -6771.7 -11364. -9046.2 -1367.4 36937. 0.59839 0.42021 0.18053 (norm 7.48e+001) Iteration 428: loglikelihood = 4108.60819139 (steplength = 8.192e-010) Parameters: 0.00043986 0.96584 0.050331 -0.18122 -0.74132 0.85463 0.0040964 -0.87244 -0.019880 0.15912 0.82725 -0.81124 4.6672e-007 0.92148 0.055702 5.2552 Gradients: 2.0374e+006 29557. -27585. -57690. -43072. 8921.7 65429. 21275. 27782. 17504. -3019.8 -21266. 24879. 0.37696 0.30199 0.17680 (norm 8.76e+001) Iteration 429: loglikelihood = 4108.61055925 (steplength = 2.048e-008) Parameters: 0.00043997 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040947 -0.87244 -0.019876 0.15912 0.82725 -0.81125 4.6676e-007 0.92148 0.055702 5.2552 Gradients: -5.7636e+006-1.6832e+005 -4725.1 1.3359e+005 1.6183e+005 63954. -1.0488e+005 -33533. -74108. -69377. -23213. 35788. 60789. 1.0462 0.66760 0.18918 (norm 1.69e+002) Iteration 429: loglikelihood = 4108.61055925 (steplength = 2.68435e-020) Parameters: 0.00043997 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040947 -0.87244 -0.019876 0.15912 0.82725 -0.81125 4.6676e-007 0.92148 0.055702 5.2552 Gradients: -5.7636e+006-1.6832e+005 -4725.1 1.3359e+005 1.6183e+005 63954. -1.0488e+005 -33533. -74108. -69377. -23213. 35788. 60789. 1.0462 0.66760 0.18918 (norm 1.69e+002) Iteration 430: loglikelihood = 4108.61208342 (steplength = 8.38861e-017) Parameters: 0.00043997 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040947 -0.87244 -0.019876 0.15912 0.82725 -0.81125 4.6677e-007 0.92148 0.055702 5.2552 Gradients: -4.9151e+005 -54812. -39638. -2353.3 33132. 47939. 28952. 9606.2 -4702.7 -15867. -17275. -8308.0 34720. 0.58315 0.41176 0.18164 (norm 9.79e+001) Iteration 431: loglikelihood = 4108.61214047 (steplength = 1.04858e-014) Parameters: 0.00043997 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040947 -0.87244 -0.019876 0.15912 0.82725 -0.81125 4.6711e-007 0.92148 0.055702 5.2552 Gradients: -4.9421e+005 -25659. -11462. 7405.2 19096. 17331. 1761.5 764.52 -5537.6 -8379.5 -6138.9 -276.05 -43818. -0.57797 -0.44889 0.17734 (norm 6.29e+001) Iteration 432: loglikelihood = 4108.61214867 (steplength = 1.04858e-014) Parameters: 0.00043997 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040947 -0.87244 -0.019876 0.15912 0.82725 -0.81125 4.6660e-007 0.92148 0.055702 5.2552 Gradients: -4.9343e+005 -7092.4 6412.6 13536. 10120. -2113.6 -15441. -4829.3 -6034.2 -3598.7 935.43 4803.1 73778. 1.1556 0.87280 0.18528 (norm 4.24e+001) Iteration 433: loglikelihood = 4108.61257376 (steplength = 8.192e-010) Parameters: 0.00043993 0.96584 0.050332 -0.18122 -0.74132 0.85463 0.0040948 -0.87244 -0.019875 0.15912 0.82725 -0.81125 4.6659e-007 0.92148 0.055702 5.2552 Gradients: 1.9722e+006 53392. -2781.0 -47584. -53639. -17358. 40275. 13111. 26219. 23326. 6531.8 -13790. 62491. 0.94866 0.76176 0.18119 (norm 9.62e+001) Iteration 434: loglikelihood = 4108.61732358 (steplength = 2.048e-008) Parameters: 0.00044002 0.96584 0.050334 -0.18122 -0.74132 0.85463 0.0040924 -0.87243 -0.019869 0.15912 0.82725 -0.81125 4.6663e-007 0.92148 0.055702 5.2552 Gradients: -4.5423e+006-1.1852e+005 9884.7 1.0994e+005 1.2067e+005 35555. -95789. -30697. -58722. -50941. -12837. 32076. 92009. 1.4998 1.0556 0.19141 (norm 1.44e+002) Iteration 435: loglikelihood = 4108.61732405 (steplength = 3.2768e-011) Parameters: 0.00044002 0.96584 0.050334 -0.18122 -0.74132 0.85463 0.0040924 -0.87243 -0.019869 0.15912 0.82725 -0.81125 4.6663e-007 0.92148 0.055702 5.2552 Gradients: -4.6168e+006-1.2049e+005 10029. 1.1173e+005 1.2266e+005 36160. -97343. -31198. -59692. -51789. -13058. 32600. 92353. 1.5067 1.0584 0.19209 (norm 1.45e+002) Iteration 436: loglikelihood = 4108.61741666 (steplength = 5.12e-007) Parameters: 0.00044002 0.96583 0.050337 -0.18122 -0.74132 0.85462 0.0040910 -0.87243 -0.019869 0.15912 0.82725 -0.81125 4.6658e-007 0.92148 0.055701 5.2552 Gradients: -4.9009e+006-1.3314e+005 5674.6 1.1697e+005 1.3279e+005 43835. -98584. -31589. -63290. -56365. -15849. 33224. 93764. 1.4975 1.0136 0.18935 (norm 1.51e+002) Iteration 437: loglikelihood = 4108.62264846 (steplength = 6.4e-005) Parameters: 0.00043998 0.96457 0.051763 -0.18101 -0.74239 0.85474 0.0047263 -0.87246 -0.019952 0.15918 0.82728 -0.81134 4.6885e-007 0.92146 0.055540 5.2553 Gradients: 8.7574e+005 -2555.3 -26788. -30150. -11310. 19929. 42618. 13962. 12711. 3880.1 -7070.8 -13541. 86027. 2.6515 3.2568 0.19817 (norm 6.38e+001) Iteration 438: loglikelihood = 4108.62322002 (steplength = 1.28e-005) Parameters: 0.00043992 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051363 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6333e-007 0.92166 0.055781 5.2553 Gradients: 6.3039e+006 1.6206e+005 -16601.-1.5412e+005-1.6674e+005 -46570. 1.3600e+005 44020. 82852. 71185. 17163. -45897. 75654. -0.24290 -1.1295 0.18397 (norm 1.69e+002) Iteration 438: loglikelihood = 4108.62322002 (steplength = 5.24288e-014) Parameters: 0.00043992 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051363 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6333e-007 0.92166 0.055781 5.2553 Gradients: 6.3039e+006 1.6206e+005 -16601.-1.5412e+005-1.6674e+005 -46570. 1.3600e+005 44020. 82852. 71185. 17163. -45897. 75654. -0.24290 -1.1295 0.18397 (norm 1.69e+002) Iteration 439: loglikelihood = 4108.62500823 (steplength = 8.38861e-017) Parameters: 0.00043992 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051363 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6333e-007 0.92166 0.055781 5.2553 Gradients: 3.6855e+005 34518. 22806. -1188.0 -22111. -28813. -14771. -4657.0 4756.8 11109. 10663. 3837.4 1.0084e+005 0.21236 -0.89518 0.19183 (norm 7.66e+001) Iteration 440: loglikelihood = 4108.62502824 (steplength = 2.09715e-015) Parameters: 0.00043992 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051363 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6355e-007 0.92166 0.055781 5.2553 Gradients: 3.6931e+005 30895. 19292. -2415.5 -20373. -25001. -11372. -3552.8 4864.7 10179. 9276.1 2834.1 50266. -0.53268 -1.4608 0.18892 (norm 7.19e+001) Iteration 441: loglikelihood = 4108.62504070 (steplength = 1.04858e-014) Parameters: 0.00043992 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051363 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6348e-007 0.92166 0.055781 5.2553 Gradients: 3.6934e+005 16655. 5561.0 -7145.4 -13504. -10076. 1854.4 744.33 5249.2 6510.2 3844.6 -1067.7 67164. -0.28257 -1.2799 0.18995 (norm 5.14e+001) Iteration 442: loglikelihood = 4108.62509660 (steplength = 8.192e-010) Parameters: 0.00043987 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051366 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6346e-007 0.92166 0.055781 5.2553 Gradients: 3.8393e+006 1.0187e+005 -7200.5 -93007.-1.0319e+005 -31623. 80099. 25987. 50614. 44371. 11705. -27224. 52023. -0.56200 -1.4264 0.18438 (norm 1.33e+002) Iteration 442: loglikelihood = 4108.62509660 (steplength = 3.35544e-018) Parameters: 0.00043987 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051366 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6346e-007 0.92166 0.055781 5.2553 Gradients: 3.8393e+006 1.0187e+005 -7200.5 -93007.-1.0319e+005 -31623. 80099. 25987. 50614. 44371. 11705. -27224. 52023. -0.56200 -1.4264 0.18438 (norm 1.33e+002) Iteration 443: loglikelihood = 4108.62576097 (steplength = 8.38861e-017) Parameters: 0.00043987 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051366 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6347e-007 0.92166 0.055781 5.2553 Gradients: 2.2194e+005 24104. 16779. 181.75 -15032. -20762. -11753. -3668.4 3022.3 7752.2 7732.0 3076.6 67358. -0.28397 -1.2832 0.18946 (norm 6.45e+001) Iteration 444: loglikelihood = 4108.62576975 (steplength = 2.09715e-015) Parameters: 0.00043987 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051366 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6361e-007 0.92166 0.055781 5.2553 Gradients: 2.2249e+005 21481. 14236. -706.48 -13774. -18003. -9293.4 -2869.4 3100.3 7079.1 6728.1 2350.6 33631. -0.78101 -1.6605 0.18718 (norm 6.05e+001) Iteration 445: loglikelihood = 4108.62577653 (steplength = 1.04858e-014) Parameters: 0.00043987 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051366 -0.87216 -0.020170 0.15917 0.82756 -0.81139 4.6355e-007 0.92166 0.055781 5.2553 Gradients: 2.2259e+005 11023. 4148.3 -4183.0 -8729.6 -7039.6 424.74 287.48 3383.5 4385.1 2738.6 -515.85 47112. -0.58167 -1.5152 0.18789 (norm 4.18e+001) Iteration 446: loglikelihood = 4108.62587944 (steplength = 8.192e-010) Parameters: 0.00043983 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051369 -0.87216 -0.020169 0.15917 0.82756 -0.81139 4.6354e-007 0.92166 0.055781 5.2553 Gradients: 3.6832e+006 96005. -8581.6 -89813. -98170. -28524. 78461. 25464. 48622. 42138. 10572. -26603. 31963. -0.86114 -1.6627 0.18272 (norm 1.30e+002) Iteration 447: loglikelihood = 4108.62596750 (steplength = 4.096e-009) Parameters: 0.00043981 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051369 -0.87216 -0.020168 0.15917 0.82755 -0.81139 4.6354e-007 0.92166 0.055781 5.2553 Gradients: 5.2206e+006 1.3188e+005 -16026.-1.2845e+005-1.3698e+005 -36112. 1.1484e+005 37209. 68764. 58422. 13338. -38702. 25275. -0.98147 -1.7245 0.18100 (norm 1.53e+002) Iteration 448: loglikelihood = 4108.62719178 (steplength = 8.38861e-017) Parameters: 0.00043981 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051369 -0.87216 -0.020168 0.15917 0.82755 -0.81139 4.6354e-007 0.92166 0.055781 5.2553 Gradients: 2.9510e+005 26074. 16704. -1539.0 -16993. -21417. -10308. -3201.7 3962.1 8591.5 7970.5 2585.4 46961. -0.59130 -1.5206 0.18694 (norm 6.63e+001) Iteration 449: loglikelihood = 4108.62719757 (steplength = 2.09715e-015) Parameters: 0.00043981 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051369 -0.87216 -0.020168 0.15917 0.82755 -0.81139 4.6364e-007 0.92166 0.055781 5.2553 Gradients: 2.9529e+005 23397. 14117. -2434.0 -15703. -18607. -7812.6 -2391.2 4036.6 7902.3 6947.9 1849.4 23125. -0.94343 -1.7879 0.18539 (norm 6.23e+001) Iteration 450: loglikelihood = 4108.62720466 (steplength = 1.04858e-014) Parameters: 0.00043981 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051369 -0.87216 -0.020168 0.15917 0.82755 -0.81139 4.6355e-007 0.92166 0.055781 5.2553 Gradients: 2.9539e+005 11958. 3085.3 -6234.8 -10185. -6615.8 2814.9 1060.6 4345.1 4955.1 2584.6 -1284.9 44456. -0.62719 -1.5559 0.18725 (norm 4.41e+001) Iteration 451: loglikelihood = 4108.62732051 (steplength = 8.192e-010) Parameters: 0.00043976 0.96368 0.052765 -0.18082 -0.74324 0.85490 0.0051371 -0.87216 -0.020168 0.15917 0.82756 -0.81139 4.6353e-007 0.92166 0.055781 5.2553 Gradients: 3.5882e+006 92788. -9055.5 -87719. -95270. -27024. 77095. 25030. 47392. 40865. 10021. -26120. 30050. -0.89344 -1.6959 0.18194 (norm 1.28e+002) Iteration 452: loglikelihood = 4108.62752013 (steplength = 4.096e-009) Parameters: 0.00043974 0.96368 0.052766 -0.18082 -0.74324 0.85490 0.0051372 -0.87216 -0.020167 0.15917 0.82755 -0.81139 4.6353e-007 0.92166 0.055781 5.2553 Gradients: 5.0636e+006 1.2712e+005 -16288.-1.2482e+005-1.3247e+005 -34207. 1.1209e+005 36332. 66723. 56466. 12636. -37758. 23662. -1.0083 -1.7545 0.18028 (norm 1.50e+002) Iteration 453: loglikelihood = 4108.62867014 (steplength = 8.38861e-017) Parameters: 0.00043974 0.96368 0.052766 -0.18082 -0.74324 0.85490 0.0051372 -0.87216 -0.020167 0.15917 0.82755 -0.81139 4.6353e-007 0.92166 0.055781 5.2553 Gradients: 2.7931e+005 24384. 15532. -1549.2 -15942. -19971. -9496.4 -2936.5 3778.7 8079.6 7444.2 2360.1 44743. -0.62934 -1.5559 0.18678 (norm 6.41e+001) Iteration 454: loglikelihood = 4108.62867520 (steplength = 2.09715e-015) Parameters: 0.00043974 0.96368 0.052766 -0.18082 -0.74324 0.85490 0.0051372 -0.87216 -0.020167 0.15917 0.82755 -0.81139 4.6363e-007 0.92166 0.055781 5.2553 Gradients: 2.7948e+005 21884. 13117. -2384.4 -14738. -17348. -7167.4 -2180.1 3847.9 7436.1 6489.6 1673.3 22038. -0.96369 -1.8107 0.18484 (norm 6.02e+001) Iteration 455: loglikelihood = 4108.62868143 (steplength = 1.04858e-014) Parameters: 0.00043974 0.96368 0.052766 -0.18082 -0.74324 0.85490 0.0051372 -0.87216 -0.020167 0.15917 0.82755 -0.81139 4.6355e-007 0.92166 0.055781 5.2553 Gradients: 2.7958e+005 11260. 2871.3 -5913.9 -9612.3 -6210.7 2702.9 1025.4 4133.6 4698.0 2436.9 -1237.3 41419. -0.67722 -1.5999 0.18636 (norm 4.29e+001) Iteration 456: loglikelihood = 4108.62883411 (steplength = 8.192e-010) Parameters: 0.00043970 0.96368 0.052766 -0.18082 -0.74324 0.85490 0.0051374 -0.87216 -0.020166 0.15917 0.82755 -0.81139 4.6353e-007 0.92166 0.055781 5.2553 Gradients: 3.4072e+006 87994. -8695.6 -83318. -90405. -25553. 73291. 23808. 45022. 38793. 9479.6 -24841. 27717. -0.93015 -1.7337 0.18160 (norm 1.24e+002) Iteration 457: loglikelihood = 4108.64325995 (steplength = 1.024e-007) Parameters: 0.00043936 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051359 -0.87213 -0.020140 0.15918 0.82754 -0.81142 4.6355e-007 0.92166 0.055780 5.2553 Gradients: 1.2521e+007 2.5418e+005 -96845.-3.2677e+005-2.9749e+005 -22174. 3.3102e+005 1.0752e+005 1.6564e+005 1.2324e+005 8016.5-1.0936e+005 -10605. -1.5835 -2.0865 0.17010 (norm 2.19e+002) Iteration 458: loglikelihood = 4108.65010808 (steplength = 8.38861e-017) Parameters: 0.00043936 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051359 -0.87213 -0.020140 0.15918 0.82754 -0.81142 4.6355e-007 0.92166 0.055780 5.2553 Gradients: 4.1721e+005 -3372.3 -14391. -14560. -4155.3 11394. 21538. 7150.2 6113.8 1443.0 -3983.8 -6906.0 42755. -0.63133 -1.5861 0.18711 (norm 4.69e+001) Iteration 459: loglikelihood = 4108.65011128 (steplength = 2.09715e-015) Parameters: 0.00043936 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051359 -0.87213 -0.020140 0.15918 0.82754 -0.81142 4.6365e-007 0.92166 0.055780 5.2553 Gradients: 4.1734e+005 -1720.6 -12804. -14019. -4955.9 9665.6 20012. 6654.5 6073.4 1871.6 -3353.6 -6456.2 20813. -0.95518 -1.8297 0.18549 (norm 4.43e+001) Iteration 460: loglikelihood = 4108.65011403 (steplength = 1.04858e-014) Parameters: 0.00043936 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051359 -0.87213 -0.020140 0.15918 0.82754 -0.81142 4.6361e-007 0.92166 0.055780 5.2553 Gradients: 4.1743e+005 5005.3 -6330.7 -11802. -8211.3 2618.5 13780. 4630.2 5903.5 3615.3 -784.67 -4619.3 29133. -0.83322 -1.7331 0.18589 (norm 3.95e+001) Iteration 461: loglikelihood = 4108.65101945 (steplength = 4.096e-009) Parameters: 0.00043940 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051350 -0.87213 -0.020139 0.15919 0.82754 -0.81142 4.6362e-007 0.92166 0.055780 5.2553 Gradients: -2.9632e+006 -77948. 6091.5 71764. 79049. 23537. -62449. -20092. -38378. -33260. -8342.9 20989. 45093. -0.54390 -1.5757 0.19075 (norm 1.16e+002) Iteration 461: loglikelihood = 4108.65101945 (steplength = 1.67772e-017) Parameters: 0.00043940 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051350 -0.87213 -0.020139 0.15919 0.82754 -0.81142 4.6362e-007 0.92166 0.055780 5.2553 Gradients: -2.9632e+006 -77948. 6091.5 71764. 79049. 23537. -62449. -20092. -38378. -33260. -8342.9 20989. 45093. -0.54390 -1.5757 0.19075 (norm 1.16e+002) Iteration 462: loglikelihood = 4108.65140629 (steplength = 8.38861e-017) Parameters: 0.00043940 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051350 -0.87213 -0.020139 0.15919 0.82754 -0.81142 4.6362e-007 0.92166 0.055780 5.2553 Gradients: -93148. -16675. -13263. -2198.3 9396.8 15367. 10748. 3651.4 -553.11 -4326.8 -5422.3 -3251.6 31111. -0.79130 -1.7141 0.18710 (norm 5.50e+001) Iteration 463: loglikelihood = 4108.65140632 (steplength = 1.04858e-014) Parameters: 0.00043940 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051350 -0.87213 -0.020139 0.15919 0.82754 -0.81142 4.6394e-007 0.92166 0.055780 5.2553 Gradients: -94883. -6712.3 -3622.7 1148.0 4601.5 4891.6 1430.7 625.12 -830.36 -1752.4 -1603.4 -503.73 -44200. -1.9032 -2.5477 0.18152 (norm 3.27e+001) Iteration 464: loglikelihood = 4108.65141021 (steplength = 1.04858e-014) Parameters: 0.00043940 0.96368 0.052779 -0.18081 -0.74323 0.85490 0.0051350 -0.87213 -0.020139 0.15919 0.82754 -0.81142 4.6386e-007 0.92166 0.055780 5.2553 Gradients: -94847. 2111.0 4871.6 4059.3 332.17 -4354.9 -6749.0 -2031.7 -1054.1 534.90 1767.4 1907.2 -25098. -1.6221 -2.3302 0.18343 (norm 2.73e+001) Iteration 465: loglikelihood = 4108.65212063 (steplength = 4.096e-009) Parameters: 0.00043944 0.96368 0.052779 -0.18080 -0.74323 0.85490 0.0051340 -0.87213 -0.020138 0.15919 0.82754 -0.81142 4.6387e-007 0.92166 0.055780 5.2553 Gradients: -3.5959e+006 -83782. 17747. 90600. 90688. 17291. -85705. -27642. -46915. -37648. -6050.8 28435. -8548.6 -1.3219 -2.1659 0.18858 (norm 1.23e+002) Iteration 466: loglikelihood = 4108.65231858 (steplength = 1.6384e-010) Parameters: 0.00043947 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051332 -0.87213 -0.020137 0.15919 0.82754 -0.81142 4.6387e-007 0.92166 0.055780 5.2553 Gradients: -5.6838e+006-1.3619e+005 24270. 1.4180e+005 1.4514e+005 31447. -1.3168e+005 -42557. -74230. -60721. -11164. 43930. 1413.0 -1.1429 -2.0687 0.19170 (norm 1.56e+002) Iteration 467: loglikelihood = 4108.65236774 (steplength = 1.31072e-012) Parameters: 0.00043948 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051330 -0.87213 -0.020137 0.15919 0.82754 -0.81142 4.6387e-007 0.92166 0.055780 5.2553 Gradients: -6.2146e+006-1.4978e+005 25682. 1.5474e+005 1.5910e+005 35314. -1.4313e+005 -46273. -81168. -66653. -12561. 47800. 3953.5 -1.0969 -2.0437 0.19276 (norm 1.63e+002) Iteration 468: loglikelihood = 4108.65405577 (steplength = 8.38861e-017) Parameters: 0.00043948 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051330 -0.87213 -0.020137 0.15919 0.82754 -0.81142 4.6387e-007 0.92166 0.055780 5.2553 Gradients: -1.7293e+005 -20820. -15076. -948.49 12514. 18152. 10976. 3725.7 -1543.9 -5764.8 -6436.1 -3244.0 -23847. -1.5954 -2.3180 0.18423 (norm 6.03e+001) Iteration 469: loglikelihood = 4108.65406656 (steplength = 1.04858e-014) Parameters: 0.00043948 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051330 -0.87213 -0.020137 0.15919 0.82754 -0.81142 4.6361e-007 0.92166 0.055780 5.2553 Gradients: -1.7296e+005 -8929.4 -3626.3 2977.4 6760.8 5688.8 -51.549 144.26 -1845.7 -2681.8 -1892.5 5.9299 37030. -0.69842 -1.6336 0.18843 (norm 3.66e+001) Iteration 470: loglikelihood = 4108.65406741 (steplength = 1.04858e-014) Parameters: 0.00043948 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051330 -0.87213 -0.020137 0.15919 0.82754 -0.81142 4.6375e-007 0.92166 0.055780 5.2553 Gradients: -1.7345e+005 1240.9 6180.0 6351.4 1847.7 -4979.9 -9504.8 -2926.0 -2110.5 -47.288 1997.1 2792.5 4942.7 -1.1720 -1.9859 0.18647 (norm 3.06e+001) Iteration 471: loglikelihood = 4108.65473860 (steplength = 4.096e-009) Parameters: 0.00043952 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051320 -0.87213 -0.020135 0.15919 0.82755 -0.81142 4.6375e-007 0.92166 0.055780 5.2553 Gradients: -3.7205e+006 -85763. 19230. 94019. 93370. 16931. -89504. -28882. -48572. -38721. -5910.9 29677. 21771. -0.86722 -1.8184 0.19112 (norm 1.24e+002) Iteration 472: loglikelihood = 4108.65503891 (steplength = 1.6384e-010) Parameters: 0.00043955 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051312 -0.87213 -0.020134 0.15919 0.82755 -0.81142 4.6375e-007 0.92166 0.055780 5.2553 Gradients: -5.8558e+006-1.3961e+005 25664. 1.4630e+005 1.4917e+005 31660. -1.3629e+005 -44066. -76501. -62378. -11228. 45460. 32026. -0.68326 -1.7182 0.19453 (norm 1.58e+002) Iteration 473: loglikelihood = 4108.65653292 (steplength = 8.38861e-017) Parameters: 0.00043955 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051312 -0.87213 -0.020134 0.15919 0.82755 -0.81142 4.6375e-007 0.92166 0.055780 5.2553 Gradients: -1.4220e+005 -17675. -12886. -918.00 10563. 15454. 9448.5 3228.9 -1203.5 -4810.4 -5453.3 -2822.0 5248.0 -1.1613 -1.9826 0.18645 (norm 5.56e+001) Iteration 474: loglikelihood = 4108.65653869 (steplength = 1.04858e-014) Parameters: 0.00043955 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051312 -0.87213 -0.020134 0.15919 0.82755 -0.81142 4.6380e-007 0.92166 0.055780 5.2553 Gradients: -1.4261e+005 -7581.8 -3155.8 2427.6 5685.7 4867.1 70.506 183.36 -1464.4 -2194.7 -1593.5 -57.989 -5860.7 -1.3254 -2.1020 0.18584 (norm 3.38e+001) Iteration 475: loglikelihood = 4108.65653987 (steplength = 1.04858e-014) Parameters: 0.00043955 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051312 -0.87213 -0.020134 0.15919 0.82755 -0.81142 4.6370e-007 0.92166 0.055780 5.2553 Gradients: -1.4242e+005 -5887.7 -1530.1 2980.4 4863.3 3095.3 -1491.6 -323.93 -1504.6 -1754.5 -947.58 402.14 18545. -0.96593 -1.8288 0.18757 (norm 2.99e+001) Iteration 476: loglikelihood = 4108.65718635 (steplength = 4.096e-009) Parameters: 0.00043959 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051302 -0.87213 -0.020133 0.15919 0.82755 -0.81142 4.6370e-007 0.92166 0.055780 5.2553 Gradients: -3.7778e+006 -95049. 11845. 92820. 98649. 25540. -83485. -26934. -49124. -41385. -9042.8 27962. 35655. -0.65563 -1.6590 0.19306 (norm 1.29e+002) Iteration 477: loglikelihood = 4108.65743311 (steplength = 1.6384e-010) Parameters: 0.00043961 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051296 -0.87213 -0.020132 0.15919 0.82755 -0.81142 4.6370e-007 0.92166 0.055780 5.2553 Gradients: -5.3549e+006-1.3470e+005 16707. 1.3146e+005 1.3980e+005 36294. -1.1815e+005 -38185. -69754. -58824. -12922. 39653. 43137. -0.52112 -1.5866 0.19548 (norm 1.54e+002) Iteration 478: loglikelihood = 4108.65867940 (steplength = 8.38861e-017) Parameters: 0.00043961 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051296 -0.87213 -0.020132 0.15919 0.82755 -0.81142 4.6371e-007 0.92166 0.055780 5.2553 Gradients: -1.1337e+005 -22811. -18616. -3558.6 12645. 21397. 15514. 5197.9 -679.62 -6012.1 -7621.2 -4635.7 18367. -0.96260 -1.8309 0.18765 (norm 6.47e+001) Iteration 479: loglikelihood = 4108.65868882 (steplength = 1.04858e-014) Parameters: 0.00043961 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051296 -0.87213 -0.020132 0.15919 0.82755 -0.81142 4.6389e-007 0.92166 0.055780 5.2553 Gradients: -1.1440e+005 -8672.7 -4975.0 1142.9 5820.1 6559.5 2357.1 925.54 -1050.8 -2349.7 -2211.3 -757.90 -25294. -1.6079 -2.3102 0.18557 (norm 3.75e+001) Iteration 480: loglikelihood = 4108.65869252 (steplength = 1.04858e-014) Parameters: 0.00043961 0.96368 0.052778 -0.18080 -0.74323 0.85490 0.0051296 -0.87213 -0.020132 0.15919 0.82755 -0.81142 4.6368e-007 0.92166 0.055780 5.2553 Gradients: -1.1411e+005 1017.4 4347.1 4331.9 1127.9 -3590.7 -6615.0 -1988.0 -1291.3 165.13 1489.5 1885.5 25030. -0.86655 -1.7446 0.18865 (norm 2.57e+001) Iteration 481: loglikelihood = 4108.65932809 (steplength = 4.096e-009) Parameters: 0.00043966 0.96367 0.052778 -0.18080 -0.74323 0.85490 0.0051287 -0.87213 -0.020131 0.15920 0.82755 -0.81142 4.6368e-007 0.92166 0.055780 5.2553 Gradients: -3.8002e+006 -89356. 17928. 95420. 96196. 19135. -89769. -28980. -49573. -40005. -6702.0 29840. 42383. -0.55181 -1.5724 0.19409 (norm 1.27e+002) Iteration 482: loglikelihood = 4108.65956369 (steplength = 1.6384e-010) Parameters: 0.00043968 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051280 -0.87213 -0.020130 0.15920 0.82755 -0.81142 4.6368e-007 0.92166 0.055780 5.2553 Gradients: -5.6068e+006-1.3477e+005 23502. 1.3968e+005 1.4332e+005 31444. -1.2948e+005 -41874. -73206. -59978. -11140. 43236. 50962. -0.39747 -1.4885 0.19662 (norm 1.55e+002) Iteration 483: loglikelihood = 4108.66092545 (steplength = 8.38861e-017) Parameters: 0.00043968 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051280 -0.87213 -0.020130 0.15920 0.82755 -0.81142 4.6369e-007 0.92166 0.055780 5.2553 Gradients: -1.0074e+005 -17274. -13629. -2144.1 9790.1 15839. 10948. 3715.1 -647.61 -4519.3 -5595.1 -3301.9 24858. -0.86232 -1.7470 0.18911 (norm 5.59e+001) Iteration 484: loglikelihood = 4108.66092753 (steplength = 1.04858e-014) Parameters: 0.00043968 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051280 -0.87213 -0.020130 0.15920 0.82755 -0.81142 4.6394e-007 0.92166 0.055780 5.2553 Gradients: -1.0188e+005 -6844.7 -3555.6 1336.4 4761.0 4886.3 1226.4 558.18 -926.03 -1818.9 -1601.6 -436.27 -34984. -1.7460 -2.4089 0.18533 (norm 3.29e+001) Iteration 485: loglikelihood = 4108.66093130 (steplength = 1.04858e-014) Parameters: 0.00043968 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051280 -0.87213 -0.020130 0.15920 0.82755 -0.81142 4.6384e-007 0.92166 0.055780 5.2553 Gradients: -1.0180e+005 2331.2 5277.5 4363.1 320.73 -4729.2 -7278.7 -2203.5 -1156.1 562.06 1904.5 2069.6 -9254.9 -1.3669 -2.1170 0.18717 (norm 2.85e+001) Iteration 486: loglikelihood = 4108.66154685 (steplength = 4.096e-009) Parameters: 0.00043972 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051270 -0.87213 -0.020129 0.15920 0.82755 -0.81142 4.6384e-007 0.92166 0.055780 5.2553 Gradients: -3.8543e+006 -89652. 19110. 97083. 97083. 18386. -91939. -29691. -50307. -40322. -6422.4 30535. 8390.5 -1.0472 -1.9424 0.19236 (norm 1.27e+002) Iteration 487: loglikelihood = 4108.66177106 (steplength = 1.6384e-010) Parameters: 0.00043974 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051263 -0.87213 -0.020128 0.15920 0.82755 -0.81142 4.6384e-007 0.92166 0.055780 5.2553 Gradients: -5.6507e+006-1.3480e+005 24657. 1.4110e+005 1.4394e+005 30616. -1.3143e+005 -42517. -73807. -60179. -10829. 43860. 16913. -0.89420 -1.8590 0.19521 (norm 1.55e+002) Iteration 488: loglikelihood = 4108.66314988 (steplength = 8.38861e-017) Parameters: 0.00043974 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051263 -0.87213 -0.020128 0.15920 0.82755 -0.81142 4.6384e-007 0.92166 0.055780 5.2553 Gradients: -83821. -16018. -12880. -2283.5 8946.6 14851. 10547. 3584.5 -448.57 -4117.4 -5235.7 -3199.1 -8752.0 -1.3532 -2.1122 0.18796 (norm 5.40e+001) Iteration 489: loglikelihood = 4108.66315697 (steplength = 1.04858e-014) Parameters: 0.00043974 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051263 -0.87213 -0.020128 0.15920 0.82755 -0.81142 4.6375e-007 0.92166 0.055780 5.2553 Gradients: -83936. -6085.0 -3312.8 999.27 4142.9 4438.4 1331.8 592.29 -699.80 -1540.4 -1438.9 -484.05 13914. -1.0196 -1.8543 0.18911 (norm 3.11e+001) Iteration 490: loglikelihood = 4108.66315712 (steplength = 2.09715e-015) Parameters: 0.00043974 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051263 -0.87213 -0.020128 0.15920 0.82755 -0.81142 4.6378e-007 0.92166 0.055780 5.2553 Gradients: -84020. -5099.2 -2361.3 1327.5 3667.2 3403.7 413.93 294.27 -725.75 -1285.0 -1061.5 -213.55 6968.6 -1.1222 -1.9310 0.18844 (norm 2.79e+001) Iteration 491: loglikelihood = 4108.66374654 (steplength = 4.096e-009) Parameters: 0.00043979 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051253 -0.87213 -0.020127 0.15920 0.82755 -0.81142 4.6378e-007 0.92166 0.055780 5.2553 Gradients: -3.9059e+006 -98769. 11732. 95753. 1.0220e+005 26931. -85816. -27709. -50786. -42917. -9531.6 28786. 24894. -0.79748 -1.7535 0.19408 (norm 1.32e+002) Iteration 492: loglikelihood = 4108.66393119 (steplength = 1.6384e-010) Parameters: 0.00043981 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051248 -0.87213 -0.020126 0.15920 0.82755 -0.81142 4.6378e-007 0.92166 0.055780 5.2553 Gradients: -5.3412e+006-1.3476e+005 16234. 1.3094e+005 1.3959e+005 36621. -1.1744e+005 -37981. -69563. -58761. -13021. 39454. 31693. -0.67519 -1.6876 0.19629 (norm 1.54e+002) Iteration 493: loglikelihood = 4108.66516003 (steplength = 8.38861e-017) Parameters: 0.00043981 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051248 -0.87213 -0.020126 0.15920 0.82755 -0.81142 4.6378e-007 0.92166 0.055780 5.2553 Gradients: -63357. -22116. -19309. -4967.2 11611. 21640. 17126. 5720.2 -16.090 -5607.8 -7712.2 -5156.1 7105.1 -1.1141 -1.9304 0.18870 (norm 6.47e+001) Iteration 494: loglikelihood = 4108.66517201 (steplength = 1.04858e-014) Parameters: 0.00043981 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051248 -0.87213 -0.020126 0.15920 0.82755 -0.81142 4.6386e-007 0.92166 0.055780 5.2553 Gradients: -64034. -7551.0 -5266.3 -136.49 4574.8 6361.8 3589.9 1325.4 -390.88 -1830.9 -2140.9 -1167.9 -9416.6 -1.3587 -2.1073 0.18808 (norm 3.59e+001) Iteration 495: loglikelihood = 4108.66517360 (steplength = 1.04858e-014) Parameters: 0.00043981 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051248 -0.87213 -0.020126 0.15920 0.82755 -0.81142 4.6371e-007 0.92166 0.055780 5.2553 Gradients: -63762. -4991.2 -2809.2 699.41 3332.4 3684.3 1228.7 558.79 -451.30 -1165.2 -1164.6 -472.56 25967. -0.83694 -1.7105 0.19066 (norm 2.83e+001) Iteration 496: loglikelihood = 4108.66574585 (steplength = 4.096e-009) Parameters: 0.00043985 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051238 -0.87213 -0.020125 0.15920 0.82755 -0.81142 4.6371e-007 0.92166 0.055780 5.2553 Gradients: -3.9474e+006-1.0016e+005 11516. 96642. 1.0344e+005 27576. -86399. -27905. -51320. -43463. -9761.2 29002. 44218. -0.50692 -1.5301 0.19602 (norm 1.33e+002) Iteration 497: loglikelihood = 4108.66591544 (steplength = 1.6384e-010) Parameters: 0.00043987 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051233 -0.87213 -0.020124 0.15920 0.82755 -0.81142 4.6371e-007 0.92166 0.055780 5.2553 Gradients: -5.3044e+006-1.3417e+005 15792. 1.2991e+005 1.3878e+005 36713. -1.1632e+005 -37624. -69073. -58434. -13050. 39095. 50660. -0.39111 -1.4680 0.19810 (norm 1.54e+002) Iteration 498: loglikelihood = 4108.66712415 (steplength = 8.38861e-017) Parameters: 0.00043987 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051233 -0.87213 -0.020124 0.15920 0.82755 -0.81142 4.6371e-007 0.92166 0.055780 5.2553 Gradients: -47544. -21972. -19601. -5437.7 11321. 21796. 17706. 5908.4 195.70 -5499.7 -7770.2 -5341.6 25830. -0.83319 -1.7131 0.19058 (norm 6.48e+001) Iteration 499: loglikelihood = 4108.66713232 (steplength = 1.04858e-014) Parameters: 0.00043987 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051233 -0.87213 -0.020124 0.15920 0.82755 -0.81142 4.6398e-007 0.92166 0.055780 5.2553 Gradients: -48942. -7293.3 -5428.8 -545.29 4239.8 6384.8 4031.7 1468.8 -191.28 -1695.9 -2149.9 -1312.1 -36959. -1.7607 -2.4051 0.18666 (norm 3.58e+001) --- FINAL VALUES: loglikelihood = 4108.66713759 (steplength = 1.04858e-014) Parameters: 0.00043987 0.96367 0.052777 -0.18080 -0.74323 0.85490 0.0051233 -0.87213 -0.020124 0.15920 0.82755 -0.81142 4.6379e-007 0.92166 0.055780 5.2553 Gradients: -48743. 4746.6 6158.5 3422.8 -1587.6 -6229.9 -7123.4 -2152.8 -490.01 1430.4 2450.4 1973.6 7807.5 -1.1012 -1.9004 0.18990 (norm 3.34e+001) Tolerance = 1.81899e-012 The convergence criterion was not met Error executing script: halting > end mle --verbose