0 SNES Function norm 1.371870931195e-01 
    0 KSP Residual norm 5.202521703100e-02 
    1 KSP Residual norm 3.628649120919e-02 
    2 KSP Residual norm 2.230325574124e-02 
    3 KSP Residual norm 1.462216942278e-02 
    4 KSP Residual norm 9.581224412384e-03 
    5 KSP Residual norm 6.351241868891e-03 
    6 KSP Residual norm 4.183522281136e-03 
    7 KSP Residual norm 2.771978772685e-03 
    8 KSP Residual norm 1.828281849373e-03 
    9 KSP Residual norm 1.210471122973e-03 
   10 KSP Residual norm 7.989628528035e-04 
   11 KSP Residual norm 5.286876610580e-04 
   12 KSP Residual norm 3.491231058106e-04 
   13 KSP Residual norm 2.309351936887e-04 
   14 KSP Residual norm 1.525479466782e-04 
   15 KSP Residual norm 1.008811109304e-04 
   16 KSP Residual norm 6.665253886838e-05 
   17 KSP Residual norm 4.407048987132e-05 
   18 KSP Residual norm 2.912157185677e-05 
   19 KSP Residual norm 1.925296748842e-05 
   20 KSP Residual norm 1.272343934593e-05 
   21 KSP Residual norm 8.411145388865e-06 
   22 KSP Residual norm 5.558895595164e-06 
   23 KSP Residual norm 3.674663920619e-06 
   24 KSP Residual norm 2.428670791039e-06 
   25 KSP Residual norm 1.605400596446e-06 
   26 KSP Residual norm 1.061075255669e-06 
   27 KSP Residual norm 7.013768103532e-07 
   28 KSP Residual norm 4.635771116599e-07 
   29 KSP Residual norm 3.064226298117e-07 
   30 KSP Residual norm 2.025333848877e-07 
   31 KSP Residual norm 1.338724559771e-07 
   32 KSP Residual norm 8.848516813936e-08 
   33 KSP Residual norm 5.848739329081e-08 
   34 KSP Residual norm 3.865839525350e-08 
   35 KSP Residual norm 2.555251938429e-08 
   36 KSP Residual norm 1.688950100326e-08 
   37 KSP Residual norm 1.116363090538e-08 
   38 KSP Residual norm 7.378865328614e-09 
   39 KSP Residual norm 4.877276782258e-09 
   40 KSP Residual norm 3.223756254680e-09 
   41 KSP Residual norm 2.130833234893e-09 
   42 KSP Residual norm 1.408428158805e-09 
   43 KSP Residual norm 9.309397976948e-10 
   44 KSP Residual norm 6.153286883025e-10 
   45 KSP Residual norm 4.067183848195e-10 
   46 KSP Residual norm 2.688311320979e-10 
   47 KSP Residual norm 1.776912461182e-10 
   48 KSP Residual norm 1.174497066354e-10 
   49 KSP Residual norm 7.763152928561e-11 
   50 KSP Residual norm 5.131261325312e-11 
  1 SNES Function norm 1.612624342362e-10 
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1
SNES Object: 2 MPI processes
  type: newtonls
  maximum iterations=50, maximum function evaluations=10000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of linear solver iterations=50
  total number of function evaluations=2
  norm schedule ALWAYS
  SNESLineSearch Object:   2 MPI processes
    type: bt
      interpolation: cubic
      alpha=1.000000e-04
    maxstep=1.000000e+08, minlambda=1.000000e-12
    tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
    maximum iterations=40
  KSP Object:   2 MPI processes
    type: richardson
      Richardson: damping factor=1
    maximum iterations=10000, initial guess is zero
    tolerances:  relative=1e-09, absolute=1e-50, divergence=10000
    left preconditioning
    using PRECONDITIONED norm type for convergence test
  PC Object:   2 MPI processes
    type: asm
      Additive Schwarz: total subdomain blocks = 4, amount of overlap = 0
      Additive Schwarz: restriction/interpolation type - RESTRICT
      Additive Schwarz: local solve composition type - MULTIPLICATIVE
      Local solve is same for all blocks, in the following KSP and PC objects:
    KSP Object:    (sub_)     1 MPI processes
      type: preonly
      maximum iterations=10000, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-50, divergence=10000
      left preconditioning
      using NONE norm type for convergence test
    PC Object:    (sub_)     1 MPI processes
      type: lu
        LU: out-of-place factorization
        tolerance for zero pivot 2.22045e-14
        matrix ordering: nd
        factor fill ratio given 5, needed 1.35714
          Factored matrix follows:
            Mat Object:             1 MPI processes
              type: seqaij
              rows=8, cols=8
              package used to perform factorization: petsc
              total: nonzeros=38, allocated nonzeros=38
              total number of mallocs used during MatSetValues calls =0
                not using I-node routines
      linear system matrix = precond matrix:
      Mat Object:       1 MPI processes
        type: seqaij
        rows=8, cols=8
        total: nonzeros=28, allocated nonzeros=28
        total number of mallocs used during MatSetValues calls =0
          not using I-node routines
    linear system matrix = precond matrix:
    Mat Object:     2 MPI processes
      type: mpiaij
      rows=32, cols=32
      total: nonzeros=136, allocated nonzeros=136
      total number of mallocs used during MatSetValues calls =0
N: 32 error l2 4.72982e-12 inf 5.97333e-11