  0 SNES Function norm 0.137187 
    0 KSP Residual norm 0.0751492 
    1 KSP Residual norm 0.0303034 
    2 KSP Residual norm 0.0188899 
    3 KSP Residual norm 0.0117752 
    4 KSP Residual norm 0.00734021 
    5 KSP Residual norm 0.0045756 
    6 KSP Residual norm 0.00285225 
    7 KSP Residual norm 0.00177798 
    8 KSP Residual norm 0.00110832 
    9 KSP Residual norm 0.000690883 
   10 KSP Residual norm 0.000430669 
   11 KSP Residual norm 0.000268462 
   12 KSP Residual norm 0.000167349 
   13 KSP Residual norm 0.000104319 
   14 KSP Residual norm 6.5028e-05 
   15 KSP Residual norm 4.05359e-05 
   16 KSP Residual norm 2.52685e-05 
   17 KSP Residual norm 1.57514e-05 
   18 KSP Residual norm 9.81878e-06 
   19 KSP Residual norm 6.12064e-06 
   20 KSP Residual norm 3.81536e-06 
   21 KSP Residual norm 2.37835e-06 
   22 KSP Residual norm 1.48257e-06 
   23 KSP Residual norm 9.24174e-07 
   24 KSP Residual norm 5.76093e-07 
   25 KSP Residual norm 3.59114e-07 
   26 KSP Residual norm 2.23857e-07 
   27 KSP Residual norm 1.39544e-07 
   28 KSP Residual norm 8.69861e-08 
   29 KSP Residual norm 5.42237e-08 
   30 KSP Residual norm 3.38009e-08 
   31 KSP Residual norm 2.10701e-08 
   32 KSP Residual norm 1.31343e-08 
   33 KSP Residual norm 8.1874e-09 
   34 KSP Residual norm 5.1037e-09 
   35 KSP Residual norm 3.18144e-09 
   36 KSP Residual norm 1.98319e-09 
   37 KSP Residual norm 1.23624e-09 
   38 KSP Residual norm 7.706e-10 
   39 KSP Residual norm 4.804e-10 
   40 KSP Residual norm 2.994e-10 
   41 KSP Residual norm 1.867e-10 
   42 KSP Residual norm 1.164e-10 
   43 KSP Residual norm 7.253e-11 
  1 SNES Function norm 2.290e-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=43
  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
    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
      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 = 2, amount of overlap = 0
      restriction/interpolation type - RESTRICT
      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 1.875
          Factored matrix follows:
            Mat Object: (sub_) 1 MPI process
              type: seqaij
              rows=16, cols=16
              package used to perform factorization: petsc
              total: nonzeros=120, allocated nonzeros=120
                using I-node routines: found 12 nodes, limit used is 5
      linear system matrix = precond matrix:
      Mat Object: (sub_) 1 MPI process
        type: seqaij
        rows=16, cols=16
        total: nonzeros=64, allocated nonzeros=64
        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 3.40437e-11 inf 8.12005e-11
