petsc-3.6.1 2015-08-06
Report Typos and Errors
---- Journal Bearing Problem SHB----- mx: 256, my: 256, ecc: 0.1 iter = 0, Function value: 0, Residual: 0.0244006 iter = 1, Function value: -0.0464026, Residual: 0.0711785 iter = 2, Function value: -0.082622, Residual: 0.248282 iter = 3, Function value: -0.0924879, Residual: 0.203358 iter = 4, Function value: -0.0996027, Residual: 0.112773 iter = 5, Function value: -0.103169, Residual: 0.127641 iter = 6, Function value: -0.108033, Residual: 0.0817701 iter = 7, Function value: -0.114025, Residual: 0.113671 iter = 8, Function value: -0.114695, Residual: 0.238391 iter = 9, Function value: -0.118249, Residual: 0.0856383 iter = 10, Function value: -0.119791, Residual: 0.0609433 iter = 11, Function value: -0.12195, Residual: 0.0810447 iter = 12, Function value: -0.124527, Residual: 0.0824294 iter = 13, Function value: -0.125939, Residual: 0.121842 iter = 14, Function value: -0.12825, Residual: 0.0525336 iter = 15, Function value: -0.129502, Residual: 0.0499337 iter = 16, Function value: -0.130939, Residual: 0.104265 iter = 17, Function value: -0.132451, Residual: 0.075985 iter = 18, Function value: -0.133778, Residual: 0.0634712 iter = 19, Function value: -0.135887, Residual: 0.0890456 iter = 20, Function value: -0.136242, Residual: 0.152784 iter = 21, Function value: -0.137725, Residual: 0.057457 iter = 22, Function value: -0.138538, Residual: 0.0400261 iter = 23, Function value: -0.139607, Residual: 0.0696464 iter = 24, Function value: -0.140095, Residual: 0.0909832 iter = 25, Function value: -0.140753, Residual: 0.061893 iter = 26, Function value: -0.141856, Residual: 0.0574352 iter = 27, Function value: -0.143126, Residual: 0.0738545 iter = 28, Function value: -0.143701, Residual: 0.106401 iter = 29, Function value: -0.144544, Residual: 0.0588893 iter = 30, Function value: -0.145244, Residual: 0.0524822 iter = 31, Function value: -0.145921, Residual: 0.103186 iter = 32, Function value: -0.146727, Residual: 0.0623403 iter = 33, Function value: -0.147563, Residual: 0.0610132 iter = 34, Function value: -0.14851, Residual: 0.0789703 iter = 35, Function value: -0.148704, Residual: 0.187762 iter = 36, Function value: -0.149895, Residual: 0.0601508 iter = 37, Function value: -0.150398, Residual: 0.0446543 iter = 38, Function value: -0.151023, Residual: 0.0549125 iter = 39, Function value: -0.151402, Residual: 0.123144 iter = 40, Function value: -0.152031, Residual: 0.0597682 iter = 41, Function value: -0.152651, Residual: 0.0524007 iter = 42, Function value: -0.153169, Residual: 0.0604411 iter = 43, Function value: -0.153831, Residual: 0.121001 iter = 44, Function value: -0.154664, Residual: 0.0593161 iter = 45, Function value: -0.155196, Residual: 0.0472836 iter = 46, Function value: -0.15576, Residual: 0.0667357 iter = 47, Function value: -0.156182, Residual: 0.0931523 iter = 48, Function value: -0.156716, Residual: 0.0603957 iter = 49, Function value: -0.157796, Residual: 0.0607737 iter = 50, Function value: -0.158329, Residual: 0.0743615 iter = 51, Function value: -0.158903, Residual: 0.0521297 iter = 52, Function value: -0.159377, Residual: 0.0511593 iter = 53, Function value: -0.159925, Residual: 0.0587078 iter = 54, Function value: -0.160277, Residual: 0.0757161 iter = 55, Function value: -0.160656, Residual: 0.0521139 iter = 56, Function value: -0.16137, Residual: 0.0512645 iter = 57, Function value: -0.161864, Residual: 0.0822385 iter = 58, Function value: -0.162506, Residual: 0.0630661 iter = 59, Function value: -0.163222, Residual: 0.07463 iter = 60, Function value: -0.163883, Residual: 0.0682403 iter = 61, Function value: -0.164477, Residual: 0.0586712 iter = 62, Function value: -0.165134, Residual: 0.0748747 iter = 63, Function value: -0.165618, Residual: 0.072831 iter = 64, Function value: -0.166038, Residual: 0.054119 iter = 65, Function value: -0.166746, Residual: 0.0536801 iter = 66, Function value: -0.167027, Residual: 0.125052 iter = 67, Function value: -0.167599, Residual: 0.0603487 iter = 68, Function value: -0.168111, Residual: 0.0448185 iter = 69, Function value: -0.168505, Residual: 0.0513915 iter = 70, Function value: -0.169009, Residual: 0.108394 iter = 71, Function value: -0.16958, Residual: 0.0503368 iter = 72, Function value: -0.169879, Residual: 0.0402858 iter = 73, Function value: -0.170403, Residual: 0.0550521 iter = 74, Function value: -0.170671, Residual: 0.109711 iter = 75, Function value: -0.17113, Residual: 0.0516295 iter = 76, Function value: -0.171508, Residual: 0.0397076 iter = 77, Function value: -0.171792, Residual: 0.0449047 iter = 78, Function value: -0.172094, Residual: 0.110213 iter = 79, Function value: -0.172598, Residual: 0.0427959 iter = 80, Function value: -0.172849, Residual: 0.0340262 iter = 81, Function value: -0.173131, Residual: 0.0453814 iter = 82, Function value: -0.173278, Residual: 0.0915839 iter = 83, Function value: -0.173577, Residual: 0.0408179 iter = 84, Function value: -0.173796, Residual: 0.0330452 iter = 85, Function value: -0.17401, Residual: 0.0404288 iter = 86, Function value: -0.174323, Residual: 0.071882 iter = 87, Function value: -0.174653, Residual: 0.0472994 iter = 88, Function value: -0.174878, Residual: 0.0328719 iter = 89, Function value: -0.175132, Residual: 0.0389183 iter = 90, Function value: -0.175256, Residual: 0.0495456 iter = 91, Function value: -0.175396, Residual: 0.0295006 iter = 92, Function value: -0.175585, Residual: 0.0263819 iter = 93, Function value: -0.1757, Residual: 0.0302869 iter = 94, Function value: -0.175865, Residual: 0.0400872 iter = 95, Function value: -0.17601, Residual: 0.0307838 iter = 96, Function value: -0.176143, Residual: 0.0305512 iter = 97, Function value: -0.17633, Residual: 0.0395495 iter = 98, Function value: -0.176461, Residual: 0.0559932 iter = 99, Function value: -0.176618, Residual: 0.0278666 iter = 100, Function value: -0.176737, Residual: 0.022925 iter = 101, Function value: -0.17683, Residual: 0.0264754 iter = 102, Function value: -0.176932, Residual: 0.0411405 iter = 103, Function value: -0.177043, Residual: 0.022695 iter = 104, Function value: -0.177139, Residual: 0.0251938 iter = 105, Function value: -0.177265, Residual: 0.0328128 iter = 106, Function value: -0.177353, Residual: 0.0627166 iter = 107, Function value: -0.177509, Residual: 0.0260844 iter = 108, Function value: -0.177594, Residual: 0.0216412 iter = 109, Function value: -0.177686, Residual: 0.0252981 iter = 110, Function value: -0.177745, Residual: 0.0631934 iter = 111, Function value: -0.177882, Residual: 0.0240796 iter = 112, Function value: -0.177952, Residual: 0.0177322 iter = 113, Function value: -0.178024, Residual: 0.0222321 iter = 114, Function value: -0.178098, Residual: 0.0467797 iter = 115, Function value: -0.178199, Residual: 0.0230733 iter = 116, Function value: -0.178271, Residual: 0.0180874 iter = 117, Function value: -0.178348, Residual: 0.0250309 iter = 118, Function value: -0.178427, Residual: 0.0382593 iter = 119, Function value: -0.178518, Residual: 0.0235454 iter = 120, Function value: -0.178615, Residual: 0.0218908 iter = 121, Function value: -0.178689, Residual: 0.0276485 iter = 122, Function value: -0.178776, Residual: 0.0247663 iter = 123, Function value: -0.178847, Residual: 0.0224851 iter = 124, Function value: -0.178915, Residual: 0.0191482 iter = 125, Function value: -0.178969, Residual: 0.0238172 iter = 126, Function value: -0.179027, Residual: 0.0174222 iter = 127, Function value: -0.179087, Residual: 0.0173979 iter = 128, Function value: -0.179142, Residual: 0.0301279 iter = 129, Function value: -0.179195, Residual: 0.0177 iter = 130, Function value: -0.179231, Residual: 0.0148004 iter = 131, Function value: -0.179278, Residual: 0.0189958 iter = 132, Function value: -0.179306, Residual: 0.0297373 iter = 133, Function value: -0.179347, Residual: 0.0148591 iter = 134, Function value: -0.179384, Residual: 0.0131116 iter = 135, Function value: -0.179417, Residual: 0.0155878 iter = 136, Function value: -0.179447, Residual: 0.0256573 iter = 137, Function value: -0.179484, Residual: 0.0121552 iter = 138, Function value: -0.179512, Residual: 0.0129933 iter = 139, Function value: -0.179545, Residual: 0.0169305 iter = 140, Function value: -0.179573, Residual: 0.0295721 iter = 141, Function value: -0.179613, Residual: 0.0146557 iter = 142, Function value: -0.179645, Residual: 0.0129651 iter = 143, Function value: -0.179674, Residual: 0.0142722 iter = 144, Function value: -0.179688, Residual: 0.0328222 iter = 145, Function value: -0.179726, Residual: 0.0111743 iter = 146, Function value: -0.179741, Residual: 0.00950303 Tao Object: 16 MPI processes type: blmvm Gradient steps: 0 TaoLineSearch Object: 16 MPI processes type: more-thuente Active Set subset type: subvec convergence tolerances: fatol=0.0001, frtol=0.0001 convergence tolerances: gatol=1e-08, steptol=0, gttol=0 Residual in Function/Gradient:=0.00950303 Objective value=-0.179741 total number of iterations=146, (max: 2000) total number of function/gradient evaluations=152, (max: 4000) Solution converged: estimated f(x)-f(X*) <= fatol