Initial statistics: 2 variables; iteration 0; function evaluation 0 Function value 9.4927692e+003; maximum gradient component mag 5.9375e+003 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -1.0000 5.9375e+003 | 2 5.0000 -1.2026e+001 | Intermediate statistics: 2 variables; iteration 10; function evaluation 16 Function value 5.1456470e+002; maximum gradient component mag 3.7639e-003 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.9233 3.7639e-003 | 2 9.0294 -8.6200e-004 | - final statistics: 2 variables; iteration 11; function evaluation 17 Function value 5.1456e+002; maximum gradient component mag 2.3277e-005 Exit code = 1; converg criter 1.0000e-004 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.9233 1.3108e-005 | 2 9.0294 2.3277e-005 | Initial statistics: 26 variables; iteration 0; function evaluation 0 Function value 5.1456470e+002; maximum gradient component mag -5.1871e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.9233 1.3108e-005 | 2 9.0294 2.3277e-005 | 3 0.0000 4.2206e+002 4 0.0000 3.0286e+002 | 5 0.0000 -2.5902e+002 | 6 0.0000 -5.1871e+002 7 0.0000 -3.8552e+000 | 8 0.0000 5.6662e+001 | 9 0.0000 1.0697e+001 10 0.0000 -1.6877e+002 | 11 0.0000 -8.7869e+001 | 12 0.0000 4.0168e+001 13 0.0000 3.6471e+001 | 14 0.0000 1.1200e+001 | 15 0.0000 -2.3104e+001 16 0.0000 -8.4404e+001 | 17 0.0000 -8.9457e+001 | 18 0.0000 -7.4055e-001 19 0.0000 5.8306e+001 | 20 0.0000 3.7912e+001 | 21 0.0000 4.8193e+001 22 0.0000 2.4315e+001 | 23 0.0000 4.6395e+001 | 24 0.0000 5.8326e+001 25 0.0000 5.0259e+001 | 26 0.0000 3.2099e+001 | Intermediate statistics: 26 variables; iteration 10; function evaluation 16 Function value 4.6183060e+002; maximum gradient component mag -4.9579e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.0946 1.9126e+002 | 2 8.9617 8.9263e+001 | 3 -0.0551 -4.8415e+002 4 -0.0277 -4.9579e+002 | 5 0.0323 3.2717e+002 | 6 0.0454 2.4072e+002 7 0.0081 -3.7950e+002 | 8 -0.0034 -2.9320e+001 | 9 0.0004 1.2386e+002 10 0.0297 1.9470e+002 | 11 0.0192 1.4672e+002 | 12 -0.0002 1.6995e+002 13 -0.0002 1.6471e+002 | 14 0.0009 1.3670e+002 | 15 0.0047 1.2961e+002 16 0.0179 1.7953e+002 | 17 0.0186 2.0324e+002 | 18 0.0010 7.3077e+001 19 -0.0058 6.0136e+001 | 20 0.0045 6.9287e+001 | 21 0.0028 2.4460e+002 22 0.0012 2.5727e+002 | 23 0.0070 3.3887e+002 | 24 -0.0327 1.1038e+002 25 -0.0400 8.4426e+001 | 26 -0.0244 8.0451e+001 | 26 variables; iteration 20; function evaluation 27 Function value 4.5948734e+002; maximum gradient component mag -6.7369e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.0849 2.5549e+002 | 2 8.8205 9.3015e+001 | 3 -0.0569 -6.7369e+002 4 -0.0292 -6.5527e+002 | 5 0.0311 4.0772e+002 | 6 0.0465 4.6733e+002 7 0.0057 -4.7991e+002 | 8 0.0023 1.6008e+002 | 9 0.0071 1.6045e+002 10 0.0367 2.5163e+002 | 11 0.0260 1.9284e+002 | 12 0.0050 2.0120e+002 13 0.0055 1.9965e+002 | 14 0.0034 1.3880e+002 | 15 0.0112 1.6833e+002 16 0.0236 2.1291e+002 | 17 0.0182 1.5904e+002 | 18 0.0125 1.3445e+002 19 0.0003 7.5818e+001 | 20 -0.0313 6.4571e+001 | 21 0.0007 2.3133e+002 22 0.0021 2.5843e+002 | 23 0.0042 3.3001e+002 | 24 -0.0151 1.6960e+002 25 -0.0580 8.6311e+001 | 26 -0.0471 8.0311e+001 | 26 variables; iteration 30; function evaluation 46 Function value 3.8007963e+002; maximum gradient component mag 7.8425e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6232 -1.4444e+001 | 2 8.2082 -1.5482e+001 | 3 -0.1419 1.9819e+002 4 -0.0195 9.1257e+001 | 5 0.0441 -6.1619e+002 | 6 0.0790 7.8425e+002 7 0.0386 2.9986e+002 | 8 -0.0005 5.4962e+002 | 9 0.0164 -2.1516e+002 10 0.0456 -5.0698e+002 | 11 0.0370 -5.5704e+002 | 12 0.0160 2.0382e+001 13 0.0161 4.6435e+001 | 14 0.0208 -5.5669e+001 | 15 0.0268 -6.1520e+001 16 0.0361 -1.9961e+002 | 17 0.0330 -2.8576e+002 | 18 0.0316 -2.9215e+002 19 0.0367 -9.4351e+001 | 20 -0.0585 -8.0474e+001 | 21 0.0074 1.6258e+002 22 0.0144 3.1226e+002 | 23 0.0010 3.5568e+002 | 24 -0.0995 -1.6423e+002 25 -0.0944 -6.7594e+001 | 26 -0.0903 -6.3186e+001 | 26 variables; iteration 40; function evaluation 61 Function value 3.5469027e+002; maximum gradient component mag 1.8150e+001 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6563 -1.3309e+000 | 2 8.1777 1.9293e+000 | 3 -0.1288 9.8998e+000 4 -0.0151 1.8150e+001 | 5 0.0511 -1.4886e+001 | 6 0.0819 1.3155e+000 7 0.0438 -5.9163e+000 | 8 -0.0335 9.9433e+000 | 9 0.0204 -7.6718e+000 10 0.0513 -6.5747e+000 | 11 0.0445 8.2957e+000 | 12 0.0116 -4.6390e+000 13 0.0109 -4.4141e+000 | 14 0.0200 4.8048e+000 | 15 0.0263 6.5780e-001 16 0.0380 -3.7857e-001 | 17 0.0362 -1.4047e+001 | 18 0.0355 -1.1949e+001 19 0.0373 2.9875e+000 | 20 -0.0419 -5.1050e+000 | 21 -0.0020 -1.3111e+000 22 0.0048 4.9524e+000 | 23 -0.0149 4.0185e+000 | 24 -0.0602 -4.7632e+000 25 -0.0727 -4.7433e+000 | 26 -0.1467 -6.3058e+000 | 26 variables; iteration 50; function evaluation 73 Function value 3.5467246e+002; maximum gradient component mag -1.2562e+000 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6573 -1.0639e-001 | 2 8.1894 -3.2266e-002 | 3 -0.1288 2.7362e-001 4 -0.0151 -6.4140e-001 | 5 0.0512 5.7232e-001 | 6 0.0820 -1.2562e+000 7 0.0440 -1.5650e-002 | 8 -0.0339 1.2161e-001 | 9 0.0200 2.2532e-001 10 0.0508 -3.3736e-001 | 11 0.0438 -4.1574e-002 | 12 0.0111 1.1271e-002 13 0.0103 2.8131e-001 | 14 0.0194 5.9298e-001 | 15 0.0257 -2.1504e-001 16 0.0375 5.3617e-001 | 17 0.0358 2.8339e-001 | 18 0.0351 4.8771e-001 19 0.0362 -5.3992e-002 | 20 -0.0422 1.2025e-001 | 21 -0.0026 -6.6807e-001 22 0.0041 -3.5499e-001 | 23 -0.0156 4.2314e-001 | 24 -0.0607 -9.3962e-002 25 -0.0730 1.4233e-001 | 26 -0.1368 1.4768e-001 | 26 variables; iteration 60; function evaluation 85 Function value 3.5467243e+002; maximum gradient component mag 4.8959e-004 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6573 -6.4757e-009 | 2 8.1892 -1.2635e-005 | 3 -0.1288 -3.1117e-006 4 -0.0151 1.0287e-004 | 5 0.0512 -1.3612e-004 | 6 0.0820 1.9501e-004 7 0.0440 8.9328e-005 | 8 -0.0339 8.8438e-005 | 9 0.0200 -7.0356e-005 10 0.0508 -1.7240e-004 | 11 0.0438 -2.0209e-004 | 12 0.0111 4.8959e-004 13 0.0104 -4.1185e-004 | 14 0.0194 8.3818e-005 | 15 0.0257 3.2578e-005 16 0.0375 1.1107e-005 | 17 0.0358 -8.0405e-005 | 18 0.0351 1.5893e-004 19 0.0362 2.4526e-005 | 20 -0.0422 1.0345e-005 | 21 -0.0026 -1.3388e-004 22 0.0041 -2.0626e-005 | 23 -0.0156 1.3832e-004 | 24 -0.0606 8.4820e-005 25 -0.0730 1.2440e-005 | 26 -0.1370 1.7663e-005 | - final statistics: 26 variables; iteration 61; function evaluation 86 Function value 3.5467e+002; maximum gradient component mag -7.5073e-005 Exit code = 1; converg criter 1.0000e-004 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6573 5.0721e-006 | 2 8.1892 2.0648e-006 | 3 -0.1288 -1.0177e-005 4 -0.0151 -7.5073e-005 | 5 0.0512 -2.1075e-005 | 6 0.0820 4.9684e-005 7 0.0440 -2.5767e-005 | 8 -0.0339 -4.0808e-005 | 9 0.0200 3.1916e-006 10 0.0508 1.1960e-005 | 11 0.0438 1.1986e-005 | 12 0.0111 -1.4705e-005 13 0.0104 5.0401e-006 | 14 0.0194 9.2831e-006 | 15 0.0257 1.0834e-006 16 0.0375 -5.7467e-006 | 17 0.0358 2.5853e-005 | 18 0.0351 -2.8937e-005 19 0.0362 -5.2073e-006 | 20 -0.0422 -2.4313e-006 | 21 -0.0026 7.6540e-006 22 0.0041 1.3078e-005 | 23 -0.0156 2.3897e-007 | 24 -0.0606 -4.1648e-006 25 -0.0730 -1.1522e-006 | 26 -0.1370 -1.2466e-006 | Initial statistics: 38 variables; iteration 0; function evaluation 0 Function value 3.5467188e+002; maximum gradient component mag 2.4181e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6573 1.4822e+000 | 2 8.1892 2.0648e-006 | 3 -0.1288 -5.5874e+000 4 -0.0151 -4.1510e+000 | 5 0.0512 2.1103e+000 | 6 0.0820 1.0442e+001 7 0.0440 8.8821e-001 | 8 -0.0339 -3.6755e+000 | 9 0.0200 1.7608e-006 10 0.0508 1.0533e-005 | 11 0.0438 1.0558e-005 | 12 0.0111 -1.6136e-005 13 0.0104 3.6088e-006 | 14 0.0194 7.8522e-006 | 15 0.0257 -3.4698e-007 16 0.0375 -7.1758e-006 | 17 0.0358 2.4424e-005 | 18 0.0351 -3.0366e-005 19 0.0362 -6.6366e-006 | 20 -0.0422 -3.8597e-006 | 21 -0.0026 6.2225e-006 22 0.0041 1.1646e-005 | 23 -0.0156 -1.1922e-006 | 24 -0.0606 -5.5899e-006 25 -0.0730 -2.5744e-006 | 26 -0.1370 -2.6452e-006 | 27 0.0000 2.4181e+002 28 0.0000 -4.0241e+001 | 29 0.0000 -1.3059e+002 | 30 0.0000 -1.4522e+002 31 0.0000 5.4570e+001 | 32 0.0000 -6.5713e+001 | 33 0.0000 -5.9446e+001 34 0.0000 4.8181e+000 | 35 0.0000 3.1125e+001 | 36 0.0000 1.3084e+002 37 0.0000 7.8262e+001 | 38 0.0000 -1.0020e+002 | Intermediate statistics: 38 variables; iteration 10; function evaluation 17 Function value 3.3576280e+002; maximum gradient component mag -3.9259e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6579 -2.8558e+000 | 2 8.1868 1.6236e+000 | 3 -0.1295 9.8697e+001 4 -0.0126 1.6691e+002 | 5 0.0544 2.6047e+002 | 6 0.0837 -1.5121e+002 7 0.0425 1.3567e+002 | 8 -0.0387 1.0414e+002 | 9 0.0144 -1.3895e+002 10 0.0455 -2.6830e+002 | 11 0.0384 -1.1145e+002 | 12 0.0060 -1.1489e+002 13 0.0077 -1.3141e+002 | 14 0.0202 -1.4067e+002 | 15 0.0293 -1.1159e+002 16 0.0394 -1.7259e+002 | 17 0.0345 -1.6387e+002 | 18 0.0306 -6.6692e+001 19 0.0283 -1.5969e+002 | 20 -0.0398 -1.6460e+002 | 21 -0.0050 -1.1513e+002 22 0.0056 -1.8114e+002 | 23 -0.0090 -3.9259e+002 | 24 -0.0504 -1.8672e+002 25 -0.0678 -1.8624e+002 | 26 -0.1336 -1.6797e+002 | 27 -0.0680 -8.5882e+001 28 -0.0018 4.8926e+001 | 29 0.0365 6.6620e+001 | 30 0.0277 3.1065e+001 31 0.0063 -5.1500e+001 | 32 0.0311 -4.4487e+001 | 33 0.0217 -3.7935e+000 34 -0.0040 1.4122e+001 | 35 -0.0183 1.8540e+001 | 36 -0.0346 -2.3924e+001 37 -0.0173 -1.5747e+001 | 38 0.0206 4.5079e+001 | 38 variables; iteration 20; function evaluation 28 Function value 3.3452196e+002; maximum gradient component mag -3.5476e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6525 -4.6060e+000 | 2 8.1910 -1.3414e+000 | 3 -0.1274 1.2354e+002 4 -0.0123 1.6238e+002 | 5 0.0548 2.7491e+002 | 6 0.0840 -1.9357e+002 7 0.0408 1.0455e+002 | 8 -0.0401 1.3305e+002 | 9 0.0153 -8.6682e+001 10 0.0447 -2.4036e+002 | 11 0.0368 -6.4560e+001 | 12 0.0031 -1.3753e+002 13 0.0056 -1.4536e+002 | 14 0.0182 -2.1450e+002 | 15 0.0284 -1.3988e+002 16 0.0396 -6.1299e+001 | 17 0.0333 -2.3666e+002 | 18 0.0293 -7.2741e+001 19 0.0281 -1.2122e+002 | 20 -0.0475 -1.5703e+002 | 21 -0.0039 -1.1762e+002 22 0.0073 -2.2641e+002 | 23 -0.0056 -3.5476e+002 | 24 -0.0458 -1.8011e+002 25 -0.0574 -1.6817e+002 | 26 -0.1353 -1.6066e+002 | 27 -0.0797 -8.9783e+001 28 -0.0157 1.4128e+001 | 29 0.0246 8.0965e+000 | 30 0.0302 7.7465e+001 31 0.0098 -5.6256e+001 | 32 0.0461 1.1268e+001 | 33 0.0321 1.5473e+001 34 -0.0017 -1.5319e-001 | 35 -0.0163 2.4637e+001 | 36 -0.0345 -2.3248e+001 37 -0.0179 -2.7795e+001 | 38 0.0227 4.5424e+001 | 38 variables; iteration 30; function evaluation 41 Function value 3.3390270e+002; maximum gradient component mag -3.4545e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.6231 -6.3606e+000 | 2 8.1991 -1.0592e+001 | 3 -0.1223 1.4910e+002 4 -0.0098 1.9718e+002 | 5 0.0555 2.6927e+002 | 6 0.0838 -2.5432e+002 7 0.0387 1.1250e+002 | 8 -0.0460 1.4583e+002 | 9 0.0160 -1.0242e+002 10 0.0456 -1.9986e+002 | 11 0.0373 -3.5195e+001 | 12 0.0033 -1.1748e+002 13 0.0056 -1.1491e+002 | 14 0.0171 -2.0569e+002 | 15 0.0259 -1.2405e+002 16 0.0352 -9.7073e+001 | 17 0.0257 -3.4545e+002 | 18 0.0162 -6.0210e+001 19 0.0077 -1.0843e+002 | 20 -0.0664 -1.3287e+002 | 21 -0.0023 -1.0935e+002 22 0.0098 -2.0823e+002 | 23 -0.0021 -3.2232e+002 | 24 -0.0382 -1.4965e+002 25 -0.0424 -1.3536e+002 | 26 -0.0989 -1.3440e+002 | 27 -0.0951 -9.6378e+001 28 -0.0321 -1.6160e+001 | 29 0.0106 -1.8893e+001 | 30 0.0184 5.3949e+001 31 0.0005 -6.4641e+001 | 32 0.0353 -1.8276e+001 | 33 0.0241 -4.8222e+000 34 -0.0056 -2.1648e+001 | 35 -0.0159 -6.4297e+000 | 36 -0.0239 -3.1188e+001 37 0.0056 -5.1807e+001 | 38 0.0754 3.7076e+000 | 38 variables; iteration 40; function evaluation 54 Function value 3.3254293e+002; maximum gradient component mag -2.5079e+002 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -4.4787 -4.6183e+000 | 2 8.0822 -1.5942e+001 | 3 -0.1266 8.7786e+001 4 -0.0131 1.2049e+002 | 5 0.0530 2.0073e+002 | 6 0.0845 -1.7595e+002 7 0.0428 3.3222e+001 | 8 -0.0409 8.1472e+001 | 9 0.0178 -5.2489e+001 10 0.0479 -1.2826e+002 | 11 0.0391 -2.6255e+001 | 12 0.0051 -5.8767e+001 13 0.0072 -5.8970e+001 | 14 0.0195 -1.0923e+002 | 15 0.0284 -7.2762e+001 16 0.0381 -7.4550e+001 | 17 0.0296 -2.5079e+002 | 18 0.0192 -5.2244e+001 19 0.0110 -5.3314e+001 | 20 -0.0732 -6.2692e+001 | 21 -0.0014 -5.2619e+001 22 0.0103 -1.0402e+002 | 23 -0.0029 -1.5266e+002 | 24 -0.0430 -6.5074e+001 25 -0.0490 -5.9611e+001 | 26 -0.1068 -6.0904e+001 | 27 -0.0882 -4.9512e+001 28 -0.0299 -4.8656e+000 | 29 0.0115 -6.3080e+000 | 30 0.0159 2.3195e+001 31 0.0011 -3.8246e+001 | 32 0.0388 -1.0724e+001 | 33 0.0270 3.1167e+000 34 -0.0060 -1.5627e+001 | 35 -0.0180 -2.2974e+000 | 36 -0.0262 -1.0597e+001 37 0.0019 -2.7887e+001 | 38 0.0703 -1.7888e+001 | 38 variables; iteration 50; function evaluation 65 Function value 3.3067255e+002; maximum gradient component mag -2.7552e+001 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.7752 -7.5634e-001 | 2 7.6233 1.6445e+000 | 3 -0.1515 1.1086e+001 4 -0.0352 1.1476e+001 | 5 0.0334 -2.7058e-001 | 6 0.0791 2.2887e+001 7 0.0661 7.8641e+000 | 8 0.0070 -1.2859e+000 | 9 0.0288 -7.2123e+000 10 0.0604 -7.6266e+000 | 11 0.0525 1.7681e+000 | 12 0.0176 -7.0253e+000 13 0.0176 -7.5655e+000 | 14 0.0312 -1.1504e+001 | 15 0.0415 -3.9653e+000 16 0.0531 2.4584e+000 | 17 0.0467 7.4763e+000 | 18 0.0325 -3.1702e-001 19 0.0216 -8.2354e+000 | 20 -0.0598 -1.0472e+001 | 21 0.0065 -9.8777e+000 22 0.0154 -1.5343e+001 | 23 -0.0063 -2.7552e+001 | 24 -0.0772 -1.7640e+001 25 -0.1092 -1.2189e+001 | 26 -0.1759 -1.0916e+001 | 27 -0.0649 -9.6593e+000 28 -0.0198 -4.1924e+000 | 29 0.0109 -2.8590e+000 | 30 0.0096 1.5710e+000 31 -0.0085 -4.8817e+000 | 32 0.0391 6.3883e-001 | 33 0.0334 -3.4662e+000 34 -0.0037 -9.5736e-001 | 35 -0.0236 2.8204e-002 | 36 -0.0370 -1.7412e+000 37 -0.0123 -6.4766e-001 | 38 0.0765 6.3304e+000 | 38 variables; iteration 60; function evaluation 76 Function value 3.3040388e+002; maximum gradient component mag -1.1012e+000 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.5849 5.1354e-002 | 2 7.5444 -6.1580e-002 | 3 -0.1605 -3.3395e-002 4 -0.0433 7.9172e-002 | 5 0.0261 -4.1233e-002 | 6 0.0740 1.0264e+000 7 0.0710 1.0563e-001 | 8 0.0313 -5.3219e-001 | 9 0.0310 -1.1519e-001 10 0.0630 3.5295e-002 | 11 0.0553 3.9014e-001 | 12 0.0202 1.0688e-002 13 0.0198 -1.4144e-001 | 14 0.0335 -3.1777e-001 | 15 0.0441 -3.2613e-001 16 0.0562 -6.8231e-001 | 17 0.0503 -1.1012e+000 | 18 0.0383 -5.3878e-001 19 0.0301 -2.1151e-001 | 20 -0.0496 -2.0499e-001 | 21 0.0084 -1.6586e-001 22 0.0167 -1.9945e-001 | 23 -0.0062 -6.5015e-001 | 24 -0.0858 -4.1812e-001 25 -0.1310 -2.6565e-001 | 26 -0.1986 -2.0738e-001 | 27 -0.0578 -1.5141e-001 28 -0.0144 -1.4008e-001 | 29 0.0138 -8.1032e-002 | 30 0.0104 5.3108e-002 31 -0.0093 -2.5128e-002 | 32 0.0391 2.9388e-002 | 33 0.0381 -6.2918e-002 34 -0.0011 -4.5874e-004 | 35 -0.0226 3.1534e-002 | 36 -0.0378 1.4433e-001 37 -0.0172 1.6486e-001 | 38 0.0587 -3.5754e-001 | - final statistics: 38 variables; iteration 68; function evaluation 84 Function value 3.3040e+002; maximum gradient component mag 8.7406e-005 Exit code = 1; converg criter 1.0000e-004 Var Value Gradient |Var Value Gradient |Var Value Gradient 1 -3.5835 -2.6465e-006 | 2 7.5436 -1.1090e-006 | 3 -0.1606 1.1619e-005 4 -0.0433 1.3464e-006 | 5 0.0260 -5.1341e-005 | 6 0.0740 1.2277e-005 7 0.0710 2.0386e-005 | 8 0.0315 1.5089e-005 | 9 0.0311 3.0699e-005 10 0.0630 8.7406e-005 | 11 0.0553 5.8213e-005 | 12 0.0203 3.3621e-005 13 0.0198 2.6681e-005 | 14 0.0336 4.1658e-005 | 15 0.0441 6.4476e-005 16 0.0562 2.9845e-005 | 17 0.0503 3.7594e-005 | 18 0.0383 3.9801e-005 19 0.0300 4.4474e-005 | 20 -0.0497 4.3535e-005 | 21 0.0084 2.1231e-005 22 0.0168 1.3154e-005 | 23 -0.0061 5.8525e-005 | 24 -0.0858 4.7265e-005 25 -0.1311 4.4156e-005 | 26 -0.1987 4.5314e-005 | 27 -0.0578 -1.8062e-005 28 -0.0144 2.2532e-006 | 29 0.0138 5.1445e-006 | 30 0.0104 1.5756e-006 31 -0.0093 -8.5796e-006 | 32 0.0391 1.9299e-005 | 33 0.0380 1.2759e-006 34 -0.0011 3.9039e-006 | 35 -0.0227 -4.5386e-006 | 36 -0.0378 -5.8476e-006 37 -0.0172 -6.8302e-006 | 38 0.0590 3.0402e-006 | Estimating row 1 out of 38 for hessian Estimating row 2 out of 38 for hessian Estimating row 3 out of 38 for hessian Estimating row 4 out of 38 for hessian Estimating row 5 out of 38 for hessian Estimating row 6 out of 38 for hessian Estimating row 7 out of 38 for hessian Estimating row 8 out of 38 for hessian Estimating row 9 out of 38 for hessian Estimating row 10 out of 38 for hessian Estimating row 11 out of 38 for hessian Estimating row 12 out of 38 for hessian Estimating row 13 out of 38 for hessian Estimating row 14 out of 38 for hessian Estimating row 15 out of 38 for hessian Estimating row 16 out of 38 for hessian Estimating row 17 out of 38 for hessian Estimating row 18 out of 38 for hessian Estimating row 19 out of 38 for hessian Estimating row 20 out of 38 for hessian Estimating row 21 out of 38 for hessian Estimating row 22 out of 38 for hessian Estimating row 23 out of 38 for hessian Estimating row 24 out of 38 for hessian Estimating row 25 out of 38 for hessian Estimating row 26 out of 38 for hessian Estimating row 27 out of 38 for hessian Estimating row 28 out of 38 for hessian Estimating row 29 out of 38 for hessian Estimating row 30 out of 38 for hessian Estimating row 31 out of 38 for hessian Estimating row 32 out of 38 for hessian Estimating row 33 out of 38 for hessian Estimating row 34 out of 38 for hessian Estimating row 35 out of 38 for hessian Estimating row 36 out of 38 for hessian Estimating row 37 out of 38 for hessian Estimating row 38 out of 38 for hessian 0.0003 0.000314117 0.0006 0.00068772 0.0009 0.00130646 0.00230161 0.00298292 0.00315511 0.00343594 0.00386133 0.00393362 0.00436361 0.00439046 0.00498329 0.00504598 0.00533148 0.00565994 0.00575219 0.0059823 0.00688137 0.00721384 0.00754854 0.00790178 0.00817099 0.00875594 0.00959221 0.0108412 0.0131811 0.0143106 0.015331 0.0282452 0.0509022 0.165177 0.285494 0.803952 1.71983 2.84512 Initial seed value -36519 -330.404 -330.404 mcmc sim 1 acceptance rate 0 0 -343.549 -343.549 mcmc sim 201 acceptance rate 0.0248756 0.025 decreasing step size -169.294 -349.199 -349.199 mcmc sim 401 acceptance rate 0.399002 0.775 increasing step size -142.954 -360.05 -360.05 mcmc sim 601 acceptance rate 0.447587 0.545 increasing step size -127.547 -351.209 -351.209 mcmc sim 801 acceptance rate 0.403246 0.27 -348.936 -348.936 mcmc sim 1001 acceptance rate 0.376623 0.27 -355.561 -355.561 mcmc sim 1201 acceptance rate 0.364696 0.305 -359.973 -359.973 mcmc sim 1401 acceptance rate 0.354747 0.295 -350.944 -350.944 mcmc sim 1601 acceptance rate 0.359151 0.39 -352.354 -352.354 mcmc sim 1801 acceptance rate 0.357024 0.34 -351.954 -351.954 mcmc sim 2001 acceptance rate 0.356322 0.35 -352.323 -352.323 mcmc sim 2201 acceptance rate 0.351658 0.305 -352.006 -352.006 mcmc sim 2401 acceptance rate 0.346939 0.295 -363.685 -363.685 mcmc sim 2601 acceptance rate 0.342945 0.295 -345.005 -345.005 mcmc sim 2801 acceptance rate 0.346662 0.395 -354.006 -354.006 mcmc sim 3001 acceptance rate 0.342886 0.29 -358.487 -358.487 mcmc sim 3201 acceptance rate 0.342705 0.34 -354.817 -354.817 mcmc sim 3401 acceptance rate 0.344016 0.365 -348.661 -348.661 mcmc sim 3601 acceptance rate 0.345182 0.365 -353.084 -353.084 mcmc sim 3801 acceptance rate 0.345435 0.35 -354.348 -354.348 mcmc sim 4001 acceptance rate 0.346413 0.365 -345.812 -345.812 mcmc sim 4201 acceptance rate 0.34349 0.285 -349.92 -349.92 mcmc sim 4401 acceptance rate 0.340377 0.275 -356.165 -356.165 mcmc sim 4601 acceptance rate 0.338622 0.3 -357.054 -357.054 mcmc sim 4801 acceptance rate 0.33493 0.25 -351.241 -351.241 mcmc sim 5001 acceptance rate 0.332733 0.28 -352.12 -352.12 mcmc sim 5201 acceptance rate 0.329937 0.26 -354.838 -354.838 mcmc sim 5401 acceptance rate 0.325125 0.2 -354.867 -354.867 mcmc sim 5601 acceptance rate 0.323514 0.28 -359.856 -359.856 mcmc sim 5801 acceptance rate 0.321669 0.27 -349.943 -349.943 mcmc sim 6001 acceptance rate 0.320113 0.275 -357.902 -357.902 mcmc sim 6201 acceptance rate 0.32011 0.32 -360.872 -360.872 mcmc sim 6401 acceptance rate 0.320106 0.32 -347.465 -347.465 mcmc sim 6601 acceptance rate 0.320709 0.34 -360.074 -360.074 mcmc sim 6801 acceptance rate 0.318924 0.26 -352.25 -352.25 mcmc sim 7001 acceptance rate 0.317526 0.27 -349.407 -349.407 mcmc sim 7201 acceptance rate 0.315234 0.235 -348.378 -348.378 mcmc sim 7401 acceptance rate 0.314147 0.275 -346.293 -346.293 mcmc sim 7601 acceptance rate 0.312327 0.245 -358.801 -358.801 mcmc sim 7801 acceptance rate 0.310858 0.255 -352.43 -352.43 mcmc sim 8001 acceptance rate 0.310836 0.31 -356.537 -356.537 mcmc sim 8201 acceptance rate 0.309596 0.26 -366.938 -366.938 mcmc sim 8401 acceptance rate 0.308535 0.265 -359.013 -359.013 mcmc sim 8601 acceptance rate 0.307406 0.26 -352.898 -352.898 mcmc sim 8801 acceptance rate 0.306897 0.285 -351.302 -351.302 mcmc sim 9001 acceptance rate 0.306077 0.27 -358.708 -358.708 mcmc sim 9201 acceptance rate 0.304858 0.25 -362.608 -362.608 mcmc sim 9401 acceptance rate 0.303691 0.25 -354.788 -354.788 mcmc sim 9601 acceptance rate 0.302677 0.255 -357.404 -357.404 mcmc sim 9801 acceptance rate 0.302214 0.28 -361.773 -361.773 mcmc sim 10001 acceptance rate 0.30307 0.345 -361.963 -361.963 mcmc sim 10201 acceptance rate 0.304186 0.36 -354.415 -354.415 mcmc sim 10401 acceptance rate 0.303913 0.29 -356.839 -356.839 mcmc sim 10601 acceptance rate 0.302802 0.245 -368.09 -368.09 mcmc sim 10801 acceptance rate 0.304231 0.38 -368.831 -368.831 mcmc sim 11001 acceptance rate 0.303972 0.29 -353.332 -353.332 mcmc sim 11201 acceptance rate 0.303455 0.275 -360.074 -360.074 mcmc sim 11401 acceptance rate 0.305149 0.4 -355.596 -355.596 mcmc sim 11601 acceptance rate 0.305232 0.31 -355.259 -355.259 mcmc sim 11801 acceptance rate 0.304466 0.26 -353.018 -353.018 mcmc sim 12001 acceptance rate 0.304225 0.29 -358.582 -358.582 mcmc sim 12201 acceptance rate 0.303746 0.275 -351.944 -351.944 mcmc sim 12401 acceptance rate 0.302959 0.255 -346.854 -346.854 mcmc sim 12601 acceptance rate 0.302674 0.285 -349.176 -349.176 mcmc sim 12801 acceptance rate 0.300211 0.145 -367.007 -367.007 mcmc sim 13001 acceptance rate 0.299208 0.235 -353.685 -353.685 mcmc sim 13201 acceptance rate 0.29922 0.3 -355.7 -355.7 mcmc sim 13401 acceptance rate 0.298261 0.235 -354.481 -354.481 mcmc sim 13601 acceptance rate 0.296963 0.21 -345.734 -345.734 mcmc sim 13801 acceptance rate 0.295776 0.215 -353.913 -353.913 mcmc sim 14001 acceptance rate 0.29505 0.245 -363.325 -363.325 mcmc sim 14201 acceptance rate 0.294838 0.28 -360.611 -360.611 mcmc sim 14401 acceptance rate 0.295118 0.315 -353.12 -353.12 mcmc sim 14601 acceptance rate 0.293542 0.18 -355.337 -355.337 mcmc sim 14801 acceptance rate 0.293426 0.285 -357.672 -357.672 mcmc sim 15001 acceptance rate 0.29338 0.29 -352.748 -352.748 mcmc sim 15201 acceptance rate 0.293731 0.32 -346.463 -346.463 mcmc sim 15401 acceptance rate 0.292903 0.23 -350.069 -350.069 mcmc sim 15601 acceptance rate 0.292353 0.25 -363.077 -363.077 mcmc sim 15801 acceptance rate 0.292576 0.31 -350.631 -350.631 mcmc sim 16001 acceptance rate 0.291919 0.24 -344.335 -344.335 mcmc sim 16201 acceptance rate 0.291217 0.235 -352.921 -352.921 mcmc sim 16401 acceptance rate 0.289799 0.175 -349.543 -349.543 mcmc sim 16601 acceptance rate 0.289139 0.235 -355.601 -355.601 mcmc sim 16801 acceptance rate 0.288376 0.225 -353.988 -353.988 mcmc sim 17001 acceptance rate 0.287807 0.24 -351.117 -351.117 mcmc sim 17201 acceptance rate 0.286902 0.21 -351.544 -351.544 mcmc sim 17401 acceptance rate 0.28642 0.245 -351.186 -351.186 mcmc sim 17601 acceptance rate 0.285722 0.225 -369.078 -369.078 mcmc sim 17801 acceptance rate 0.285546 0.27 -353.761 -353.761 mcmc sim 18001 acceptance rate 0.285595 0.29 -355.326 -355.326 mcmc sim 18201 acceptance rate 0.284765 0.21 -353.712 -353.712 mcmc sim 18401 acceptance rate 0.283952 0.21 -354.102 -354.102 mcmc sim 18601 acceptance rate 0.283748 0.265 -357.349 -357.349 mcmc sim 18801 acceptance rate 0.283974 0.305 -352.803 -352.803 mcmc sim 19001 acceptance rate 0.284511 0.335 -363.896 -363.896 mcmc sim 19201 acceptance rate 0.284829 0.315 -354.774 -354.774 mcmc sim 19401 acceptance rate 0.284161 0.22 -350.932 -350.932 mcmc sim 19601 acceptance rate 0.284679 0.335 -355.525 -355.525 mcmc sim 19801 acceptance rate 0.28438 0.255 -362.583 -362.583 mcmc sim 20001 acceptance rate 0.284736 0.32 -353.637 -353.637 mcmc sim 20201 acceptance rate 0.285184 0.33 -356.452 -356.452 mcmc sim 20401 acceptance rate 0.284839 0.25 -351.76 -351.76 mcmc sim 20601 acceptance rate 0.284938 0.295 -347.472 -347.472 mcmc sim 20801 acceptance rate 0.285179 0.31 -351.384 -351.384 mcmc sim 21001 acceptance rate 0.284891 0.255 -350.586 -350.586 mcmc sim 21201 acceptance rate 0.284279 0.22 -355.536 -355.536 mcmc sim 21401 acceptance rate 0.284005 0.255 -355.298 -355.298 mcmc sim 21601 acceptance rate 0.284755 0.365 -353.982 -353.982 mcmc sim 21801 acceptance rate 0.284895 0.3 0.285045 In write empirical covariance matrix 0.000265605 0.000412014 0.000573854 0.000863568 0.00132863 0.0031208 0.00349916 0.00370185 0.00397549 0.00442215 0.00484903 0.00546742 0.00623554 0.00658713 0.00680787 0.00778856 0.00807071 0.00917824 0.00988418 0.0102523 0.01069 0.0115575 0.0132315 0.013755 0.014552 0.0157346 0.0207976 0.0241207 0.0344481 0.0381715 0.0429758 0.0543776 0.0653565 0.218283 0.610499 1.09583 1.91075 3.3919