  0 SNES Function norm 0.137187
    0 KSP Residual norm 0.0667864
    1 KSP Residual norm 0.0318467
    2 KSP Residual norm 0.0197919
    3 KSP Residual norm 0.012888
    4 KSP Residual norm 0.00839236
    5 KSP Residual norm 0.00545974
    6 KSP Residual norm 0.00354928
    7 KSP Residual norm 0.00230607
    8 KSP Residual norm 0.00149773
    9 KSP Residual norm 0.000972456
   10 KSP Residual norm 0.000631278
   11 KSP Residual norm 0.000409741
   12 KSP Residual norm 0.000265922
   13 KSP Residual norm 0.000172571
   14 KSP Residual norm 0.000111985
   15 KSP Residual norm 7.26671e-05
   16 KSP Residual norm 4.71524e-05
   17 KSP Residual norm 3.05959e-05
   18 KSP Residual norm 1.98526e-05
   19 KSP Residual norm 1.28815e-05
   20 KSP Residual norm 8.35822e-06
   21 KSP Residual norm 5.42324e-06
   22 KSP Residual norm 3.51887e-06
   23 KSP Residual norm 2.28321e-06
   24 KSP Residual norm 1.48146e-06
   25 KSP Residual norm 9.61239e-07
   26 KSP Residual norm 6.23697e-07
   27 KSP Residual norm 4.04683e-07
   28 KSP Residual norm 2.62577e-07
   29 KSP Residual norm 1.70372e-07
   30 KSP Residual norm 1.10545e-07
   31 KSP Residual norm 7.17267e-08
   32 KSP Residual norm 4.65395e-08
   33 KSP Residual norm 3.0197e-08
   34 KSP Residual norm 1.95932e-08
   35 KSP Residual norm 1.27129e-08
   36 KSP Residual norm 8.24873e-09
   37 KSP Residual norm 5.35215e-09
   38 KSP Residual norm 3.47272e-09
   39 KSP Residual norm 2.25326e-09
   40 KSP Residual norm 1.46201e-09
   41 KSP Residual norm 9.486e-10
   42 KSP Residual norm 6.155e-10
   43 KSP Residual norm 3.994e-10
   44 KSP Residual norm 2.591e-10
   45 KSP Residual norm 1.681e-10
   46 KSP Residual norm 1.091e-10
   47 KSP Residual norm 7.078e-11
   48 KSP Residual norm 4.593e-11
  1 SNES Function norm 1.509e-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=48
  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
        not checking for convergence
      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:
              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, which is also used to construct the preconditioner:
        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, which is also used to construct the preconditioner:
    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 2.31211e-11 inf 6.01052e-11
