---- 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