  0 SNES Function norm 0.137187
    0 KSP Residual norm 0.0957748
    1 KSP Residual norm 0.0264334
    2 KSP Residual norm 0.0203438
    3 KSP Residual norm 0.00882722
    4 KSP Residual norm 0.00679458
    5 KSP Residual norm 0.00299252
    6 KSP Residual norm 0.00228371
    7 KSP Residual norm 0.00101577
    8 KSP Residual norm 0.000770034
    9 KSP Residual norm 0.000344841
   10 KSP Residual norm 0.000260151
   11 KSP Residual norm 0.000117052
   12 KSP Residual norm 8.79985e-05
   13 KSP Residual norm 3.97228e-05
   14 KSP Residual norm 2.97897e-05
   15 KSP Residual norm 1.34775e-05
   16 KSP Residual norm 1.00898e-05
   17 KSP Residual norm 4.57193e-06
   18 KSP Residual norm 3.41859e-06
   19 KSP Residual norm 1.55072e-06
   20 KSP Residual norm 1.15854e-06
   21 KSP Residual norm 5.25921e-07
   22 KSP Residual norm 3.92684e-07
   23 KSP Residual norm 1.78352e-07
   24 KSP Residual norm 1.33114e-07
   25 KSP Residual norm 6.048e-08
   26 KSP Residual norm 4.51266e-08
   27 KSP Residual norm 2.05083e-08
   28 KSP Residual norm 1.52991e-08
   29 KSP Residual norm 6.95405e-09
   30 KSP Residual norm 5.18696e-09
   31 KSP Residual norm 2.35796e-09
   32 KSP Residual norm 1.75861e-09
   33 KSP Residual norm 7.995e-10
   34 KSP Residual norm 5.963e-10
   35 KSP Residual norm 2.711e-10
   36 KSP Residual norm 2.022e-10
   37 KSP Residual norm 9.192e-11
  1 SNES Function norm 3.678e-10
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1
SNES Object: 1 MPI process
  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=37
  total number of function evaluations=2
  norm schedule ALWAYS
  Jacobian is built using a DMDA local Jacobian
  SNESLineSearch Object: 1 MPI process
    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: 1 MPI process
    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: 1 MPI process
    type: asm
      total subdomain blocks = 3, 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
        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 1.45714
            Factored matrix:
              Mat Object: (sub_) 1 MPI process
                type: seqaij
                rows=11, cols=11
                package used to perform factorization: petsc
                total: nonzeros=51, allocated nonzeros=51
                  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=11, cols=11
          total: nonzeros=35, allocated nonzeros=35
          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: 1 MPI process
      type: seqaij
      rows=32, cols=32
      total: nonzeros=136, allocated nonzeros=136
      total number of mallocs used during MatSetValues calls=0
        not using I-node routines
N: 32 error L2 3.92963e-11 inf 1.2788e-10
