  0 SNES Function norm 13709.3
    0 SNES Function norm 13709.3
    1 SNES Function norm 4063.09
    2 SNES Function norm 1209.16
    3 SNES Function norm 358.664
    4 SNES Function norm 106.534
      0 SNES Function norm 100.4
      1 SNES Function norm 85.1096
      2 SNES Function norm 73.9499
      3 SNES Function norm 46.0381
      4 SNES Function norm 21.1178
        0 SNES Function norm 8.52767
        1 SNES Function norm 720.169
        2 SNES Function norm 211.546
        3 SNES Function norm 60.9206
        4 SNES Function norm 16.4878
        5 SNES Function norm 3.75186
        6 SNES Function norm 0.550474
        7 SNES Function norm 0.0246361
        8 SNES Function norm 6.49531e-05
        9 SNES Function norm 5.157e-10
      0 SNES Function norm 16.0595
      1 SNES Function norm 3.22362
      2 SNES Function norm 0.877344
      3 SNES Function norm 0.241559
      4 SNES Function norm 0.0458156
    0 SNES Function norm 380.549
    1 SNES Function norm 112.851
    2 SNES Function norm 33.6101
    3 SNES Function norm 10.1359
    4 SNES Function norm 3.24012
  1 SNES Function norm 3.24012
    0 SNES Function norm 3.24012
    1 SNES Function norm 1.103
    2 SNES Function norm 0.274359
    3 SNES Function norm 0.0273309
    4 SNES Function norm 0.000588161
      0 SNES Function norm 0.000492505
      1 SNES Function norm 1.24678e-07
      2 SNES Function norm < 1.e-11
      3 SNES Function norm < 1.e-11
      4 SNES Function norm < 1.e-11
        0 SNES Function norm < 1.e-11
        1 SNES Function norm < 1.e-11
      0 SNES Function norm < 1.e-11
      1 SNES Function norm < 1.e-11
      2 SNES Function norm < 1.e-11
      3 SNES Function norm < 1.e-11
    0 SNES Function norm 0.000415292
    1 SNES Function norm 6.33274e-08
    2 SNES Function norm < 1.e-11
    3 SNES Function norm < 1.e-11
    4 SNES Function norm < 1.e-11
  2 SNES Function norm < 1.e-11
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 2
SNES Object: 4 MPI processes
  type: fas
    type is MULTIPLICATIVE, levels=3, cycles=1
    Not using Galerkin computed coarse grid function evaluation
    Coarse grid solver -- level 0 -------------------------------
    SNES Object: (fas_coarse_) 4 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=36
      total number of function evaluations=1
      SNESLineSearch Object: (fas_coarse_) 4 MPI processes
        type: basic
        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: (fas_coarse_) 4 MPI processes
        type: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_coarse_) 4 MPI processes
        type: jacobi
        linear system matrix = precond matrix:
        Mat Object: 4 MPI processes
          type: mpiaij
          rows=211, cols=211
          total: nonzeros=2817, allocated nonzeros=2817
          total number of mallocs used during MatSetValues calls=0
            not using I-node (on process 0) routines
    Down solver (pre-smoother) on level 1 -------------------------------
    SNES Object: (fas_levels_1_) 4 MPI processes
      type: newtonls
      maximum iterations=4, maximum function evaluations=30000
      tolerances: relative=0., absolute=0., solution=0.
      total number of linear solver iterations=235
      total number of function evaluations=41
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_1_) 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: (fas_levels_1_) 4 MPI processes
        type: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_levels_1_) 4 MPI processes
        type: jacobi
        linear system matrix = precond matrix:
        Mat Object: 4 MPI processes
          type: mpiaij
          rows=515, cols=515
          total: nonzeros=7445, allocated nonzeros=7445
          total number of mallocs used during MatSetValues calls=0
            not using I-node (on process 0) routines
    Up solver (post-smoother) same as down solver (pre-smoother)
    Down solver (pre-smoother) on level 2 -------------------------------
    SNES Object: (fas_levels_2_) 4 MPI processes
      type: newtonls
      maximum iterations=4, maximum function evaluations=30000
      tolerances: relative=0., absolute=0., solution=0.
      total number of linear solver iterations=413
      total number of function evaluations=5
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_2_) 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: (fas_levels_2_) 4 MPI processes
        type: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_levels_2_) 4 MPI processes
        type: jacobi
        linear system matrix = precond matrix:
        Mat Object: 4 MPI processes
          type: mpiaij
          rows=1477, cols=1477
          total: nonzeros=22453, allocated nonzeros=22453
          total number of mallocs used during MatSetValues calls=0
            not using I-node (on process 0) routines
    Up solver (post-smoother) same as down solver (pre-smoother)
  maximum iterations=10, maximum function evaluations=30000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of function evaluations=1
  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
