  0 SNES Function norm 27982.5
    0 SNES Function norm 27982.5
      0 SNES Function norm 25715.7
      1 SNES Function norm 11344.9
        0 SNES Function norm 16515.3
        1 SNES Function norm 1.04005e+06
        2 SNES Function norm 308267.
        3 SNES Function norm 91410.6
        4 SNES Function norm 27106.5
        5 SNES Function norm 8014.94
        6 SNES Function norm 2370.78
        7 SNES Function norm 696.385
        8 SNES Function norm 179.424
        9 SNES Function norm 31.6193
       10 SNES Function norm 1.46351
       11 SNES Function norm 0.00362442
       12 SNES Function norm 2.14519e-08
      0 SNES Function norm 53763.8
      1 SNES Function norm 13036.4
    0 SNES Function norm 23366.6
    1 SNES Function norm 6924.35
L_2 Error: 1.51907
Nonlinear solve did not converge due to DIVERGED_INNER iterations 0
SNES Object: 1 MPI process
  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_) 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=12
      total number of function evaluations=12
      SNESLineSearch Object: (fas_coarse_) 1 MPI process
        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_) 1 MPI process
        type: gmres
          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          happy breakdown tolerance 1e-30
        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_) 1 MPI process
        type: svd
          All singular values smaller than 1e-12 treated as zero
          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
        linear system matrix = precond matrix:
        Mat Object: 1 MPI process
          type: seqaij
          rows=49, cols=49
          total: nonzeros=529, allocated nonzeros=529
          total number of mallocs used during MatSetValues calls=0
            not using I-node routines
    Down solver (pre-smoother) on level 1 -------------------------------
    SNES Object: (fas_levels_1_) 1 MPI process
      type: newtonls
      maximum iterations=1, maximum function evaluations=10000
      tolerances: relative=0., absolute=0., solution=0.
      total number of linear solver iterations=1
      total number of function evaluations=2
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_1_) 1 MPI process
        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_) 1 MPI process
        type: gmres
          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          happy breakdown tolerance 1e-30
        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_) 1 MPI process
        type: svd
          All singular values smaller than 1e-12 treated as zero
          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
        linear system matrix = precond matrix:
        Mat Object: 1 MPI process
          type: seqaij
          rows=225, cols=225
          total: nonzeros=3025, allocated nonzeros=3025
          total number of mallocs used during MatSetValues calls=0
            not using I-node routines
    Up solver (post-smoother) same as down solver (pre-smoother)
    Down solver (pre-smoother) on level 2 -------------------------------
    SNES Object: (fas_levels_2_) 1 MPI process
      type: newtonls
      maximum iterations=1, maximum function evaluations=10000
      tolerances: relative=0., absolute=0., solution=0.
      total number of linear solver iterations=1
      total number of function evaluations=2
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_2_) 1 MPI process
        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_) 1 MPI process
        type: gmres
          restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          happy breakdown tolerance 1e-30
        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_) 1 MPI process
        type: svd
          All singular values smaller than 1e-12 treated as zero
          Provided essential rank of the matrix 0 (all other eigenvalues are zeroed)
        linear system matrix = precond matrix:
        Mat Object: 1 MPI process
          type: seqaij
          rows=961, cols=961
          total: nonzeros=14161, allocated nonzeros=14161
          total number of mallocs used during MatSetValues calls=0
            not using I-node routines
    Up solver (post-smoother) same as down solver (pre-smoother)
  maximum iterations=20, 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: 1 MPI process
    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=1
