  0 SNES Function norm 13709.3 
    0 KSP Residual norm 2.367348480225e+01 
    1 KSP Residual norm 1.082302856445e+01 
    2 KSP Residual norm 1.482285594940e+01 
    3 KSP Residual norm 1.432977199554e+00 
    4 KSP Residual norm 3.375379145145e-01 
    5 KSP Residual norm 1.227105930448e-01 
    6 KSP Residual norm 6.073911208659e-03 
    7 KSP Residual norm 3.284112084657e-03 
    8 KSP Residual norm 5.078469985165e-04 
  1 SNES Function norm 4063.1 
    0 KSP Residual norm 4.447169780731e+00 
    1 KSP Residual norm 1.816306233406e+00 
    2 KSP Residual norm 3.085955381393e-01 
    3 KSP Residual norm 1.262296289206e-01 
    4 KSP Residual norm 3.830022364855e-02 
    5 KSP Residual norm 8.254324086010e-03 
    6 KSP Residual norm 6.272638565861e-04 
    7 KSP Residual norm 1.145633286797e-04 
    8 KSP Residual norm 9.498246981821e-06 
  2 SNES Function norm 1209.17 
    0 KSP Residual norm 4.254377841949e+00 
    1 KSP Residual norm 7.082120776176e-01 
    2 KSP Residual norm 8.313012123108e-02 
    3 KSP Residual norm 2.538713254035e-02 
    4 KSP Residual norm 2.901831874624e-03 
    5 KSP Residual norm 3.278063959442e-04 
    6 KSP Residual norm 3.044763252547e-05 
  3 SNES Function norm 358.668 
    0 KSP Residual norm 2.696893692017e+00 
    1 KSP Residual norm 6.020541191101e-01 
    2 KSP Residual norm 7.315007597208e-02 
    3 KSP Residual norm 6.195753812790e-03 
    4 KSP Residual norm 2.266069408506e-03 
    5 KSP Residual norm 2.399640798103e-04 
    6 KSP Residual norm 3.813421062659e-05 
    7 KSP Residual norm 3.088747916991e-06 
  4 SNES Function norm 106.535 
    0 KSP Residual norm 1.219507575035e+00 
    1 KSP Residual norm 2.757715582848e-01 
    2 KSP Residual norm 1.312828436494e-02 
    3 KSP Residual norm 2.687958534807e-03 
    4 KSP Residual norm 4.802570911124e-04 
    5 KSP Residual norm 3.354695945745e-05 
    6 KSP Residual norm 2.471532980053e-06 
  5 SNES Function norm 31.6952 
    0 KSP Residual norm 5.552107691765e-01 
    1 KSP Residual norm 6.309471279383e-02 
    2 KSP Residual norm 8.033529855311e-03 
    3 KSP Residual norm 6.815509987064e-04 
    4 KSP Residual norm 1.062193332473e-04 
    5 KSP Residual norm 1.440552114218e-05 
    6 KSP Residual norm 3.460366713171e-07 
  6 SNES Function norm 9.3955 
    0 KSP Residual norm 3.043232560158e-01 
    1 KSP Residual norm 1.464145258069e-02 
    2 KSP Residual norm 6.250557024032e-03 
    3 KSP Residual norm 4.588569572661e-04 
    4 KSP Residual norm 8.539923146600e-05 
    5 KSP Residual norm 2.513832441764e-06 
    6 KSP Residual norm 3.852335908050e-07 
  7 SNES Function norm 2.75665 
    0 KSP Residual norm 1.125318184495e-01 
    1 KSP Residual norm 1.152079086751e-02 
    2 KSP Residual norm 2.865518676117e-03 
    3 KSP Residual norm 1.750349038048e-04 
    4 KSP Residual norm 2.291143391631e-05 
    5 KSP Residual norm 2.078336365230e-06 
    6 KSP Residual norm 1.376367890771e-07 
  8 SNES Function norm 0.762621 
    0 KSP Residual norm 3.821944072843e-02 
    1 KSP Residual norm 3.465084824711e-03 
    2 KSP Residual norm 7.389512611553e-04 
    3 KSP Residual norm 5.259949830361e-05 
    4 KSP Residual norm 5.736650109611e-06 
    5 KSP Residual norm 7.756974582662e-07 
    6 KSP Residual norm 2.993350989300e-08 
  9 SNES Function norm 0.200838 
    0 KSP Residual norm 1.095711905509e-02 
    1 KSP Residual norm 5.100466660224e-04 
    2 KSP Residual norm 5.160098953638e-05 
    3 KSP Residual norm 1.015568795992e-05 
    4 KSP Residual norm 7.325918431889e-07 
    5 KSP Residual norm 1.412544605728e-07 
    6 KSP Residual norm 3.963896322290e-09 
 10 SNES Function norm 0.0395705 
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 10
SNES Object: 4 MPI processes
  type: newtonls
  maximum iterations=20, maximum function evaluations=10000
  tolerances: relative=1e-05, absolute=1e-25, solution=1e-05
  total number of linear solver iterations=65
  total number of function evaluations=11
  norm schedule ALWAYS
  SNESLineSearch Object: 4 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: 4 MPI processes
    type: cg
    maximum iterations=10000, initial guess is zero
    tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
    left preconditioning
    using PRECONDITIONED norm type for convergence test
  PC Object: 4 MPI processes
    type: bddc
      Use verbose output: 0
      Use user-defined CSR: 0
      Use local mat graph: 1
      Connectivity graph topological dimension: 2
      Use vertices: 1 (vertex size 1)
      Use edges: 1
      Use faces: 0
      Use true near null space: 0
      Use QR for single constraints on cc: 0
      Use change of basis on local edge nodes: 0
      Use change of basis on local face nodes: 0
      User defined change of basis matrix: 0
      Has change of basis matrix: 0
      Eliminate dirichlet boundary dofs: 0
      Switch on static condensation ops around the interface preconditioner: 0
      Use exact dirichlet trick: 1
      Interface extension: DIRICHLET
      Multilevel max levels: 0
      Multilevel coarsening ratio: 8
      Use estimated eigs for coarse problem: 0
      Use deluxe scaling: 0
      Use deluxe zerorows: 0
      Use deluxe singlemat: 0
      Rebuild interface graph for Schur principal minors: 0
      Number of dofs' layers for the computation of principal minors: -1
      Use user CSR graph to compute successive layers: 0
      Adaptive constraint selection threshold (active 0, userdefined 0): 0.
      Min constraints / connected component: 0
      Max constraints / connected component: 0
      Invert exact Schur complement for adaptive selection: 0
      Symmetric computation of primal basis functions: 1
      Num. Procs. to map coarse adjacency list: 0
      Coarse eqs per proc (significant at the coarsest level): 1
      Detect disconnected: 0
      Benign subspace trick: 0 (change explicit 0)
      Benign subspace trick is active: 0
      Algebraic computation of no-net-flux 0
      ********************************** STATISTICS AT LEVEL 0 **********************************
      Global dofs sizes: all 1477 interface 88 coarse 6
      Coarsening ratios: all/coarse 246 interface/coarse 14
      Active processes : 4
      Total subdomains : 4
      Dofs type        :	MIN	MAX	MEAN
      Interior  dofs   :	343	357	347
      Interface dofs   :	35	54	44
      Primal    dofs   :	3	4	3
      Local     dofs   :	378	411	391
      Local     subs   :	1	1
      ********************************** COARSE PROBLEM DETAILS *********************************
    KSP Object: (pc_bddc_coarse_) 4 MPI processes
      type: preonly
      maximum iterations=1, initial guess is zero
      tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
      left preconditioning
      using NONE norm type for convergence test
    PC Object: (pc_bddc_coarse_) 4 MPI processes
      type: redundant
        First (color=0) of 4 PCs follows
      linear system matrix = precond matrix:
      Mat Object: 4 MPI processes
        type: mpiaij
        rows=6, cols=6
        total: nonzeros=32, allocated nonzeros=35
        total number of mallocs used during MatSetValues calls=0
          using I-node (on process 0) routines: found 1 nodes, limit used is 5
            KSP Object:     (pc_bddc_coarse_redundant_)     1 MPI processes
              type: preonly
              maximum iterations=10000, initial guess is zero
              tolerances:  relative=1e-05, absolute=1e-25, divergence=10000.
              left preconditioning
              using NONE norm type for convergence test
            PC Object:     (pc_bddc_coarse_redundant_)     1 MPI processes
              type: lu
                out-of-place factorization
                tolerance for zero pivot 1.19209e-05
                matrix ordering: nd
                factor fill ratio given 5., needed 1.0625
                  Factored matrix follows:
                    Mat Object:     1 MPI processes
                      type: seqaij
                      rows=6, cols=6
                      package used to perform factorization: petsc
                      total: nonzeros=34, allocated nonzeros=34
                        using I-node routines: found 3 nodes, limit used is 5
              linear system matrix = precond matrix:
              Mat Object:     1 MPI processes
                type: seqaij
                rows=6, cols=6
                total: nonzeros=32, allocated nonzeros=32
                total number of mallocs used during MatSetValues calls=0
                  not using I-node routines
    linear system matrix = precond matrix:
    Mat Object: 4 MPI processes
      type: is
      rows=1477, cols=1477
      total: nonzeros=22795, allocated nonzeros=24441
      total number of mallocs used during MatSetValues calls=0
