  0 SNES Function norm 0.137187
    0 KSP Residual norm 0.0520252
    1 KSP Residual norm 0.0362865
    2 KSP Residual norm 0.0223033
    3 KSP Residual norm 0.0146222
    4 KSP Residual norm 0.00958122
    5 KSP Residual norm 0.00635124
    6 KSP Residual norm 0.00418352
    7 KSP Residual norm 0.00277198
    8 KSP Residual norm 0.00182828
    9 KSP Residual norm 0.00121047
   10 KSP Residual norm 0.000798963
   11 KSP Residual norm 0.000528688
   12 KSP Residual norm 0.000349123
   13 KSP Residual norm 0.000230935
   14 KSP Residual norm 0.000152548
   15 KSP Residual norm 0.000100881
   16 KSP Residual norm 6.66525e-05
   17 KSP Residual norm 4.40705e-05
   18 KSP Residual norm 2.91216e-05
   19 KSP Residual norm 1.9253e-05
   20 KSP Residual norm 1.27234e-05
   21 KSP Residual norm 8.41115e-06
   22 KSP Residual norm 5.5589e-06
   23 KSP Residual norm 3.67466e-06
   24 KSP Residual norm 2.42867e-06
   25 KSP Residual norm 1.6054e-06
   26 KSP Residual norm 1.06108e-06
   27 KSP Residual norm 7.01377e-07
   28 KSP Residual norm 4.63577e-07
   29 KSP Residual norm 3.06423e-07
   30 KSP Residual norm 2.02533e-07
   31 KSP Residual norm 1.33872e-07
   32 KSP Residual norm 8.84852e-08
   33 KSP Residual norm 5.84874e-08
   34 KSP Residual norm 3.86584e-08
   35 KSP Residual norm 2.55525e-08
   36 KSP Residual norm 1.68895e-08
   37 KSP Residual norm 1.11636e-08
   38 KSP Residual norm 7.37887e-09
   39 KSP Residual norm 4.87728e-09
   40 KSP Residual norm 3.22376e-09
   41 KSP Residual norm 2.13083e-09
   42 KSP Residual norm 1.40843e-09
   43 KSP Residual norm 9.309e-10
   44 KSP Residual norm 6.153e-10
   45 KSP Residual norm 4.067e-10
   46 KSP Residual norm 2.688e-10
   47 KSP Residual norm 1.777e-10
   48 KSP Residual norm 1.174e-10
   49 KSP Residual norm 7.763e-11
   50 KSP Residual norm 5.131e-11
  1 SNES Function norm 1.613e-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
  Jacobian is built using a DMDA local Jacobian
SNESLineSearch Object: 2 MPI processes
    type: bt
      interpolation: cubic
      alpha=1.000000e-04
    maxlambda=1.000000e+00, 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
      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
      total subdomain blocks = 4, amount of overlap = 0
      restriction/interpolation type - RESTRICT
      Additive Schwarz: local solve composition type - MULTIPLICATIVE
      Local solver information for first block is in the following KSP and PC objects on rank 0:
      Use -ksp_view ::ascii_info_detail to display information for all blocks
    KSP Object: (sub_) 1 MPI process
      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 process
      type: 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: (sub_) 1 MPI process
              type: seqaij
              rows=8, cols=8
              package used to perform factorization: petsc
              total: nonzeros=38, allocated nonzeros=38
                not using I-node routines
      linear system matrix = precond matrix:
      Mat Object: (sub_) 1 MPI process
        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 2.67559e-11 inf 5.97333e-11
