  0 SNES Function norm 437.426
    0 SNES Function norm 437.426
    1 SNES Function norm 124.967
      0 SNES Function norm 123.957
      1 SNES Function norm 55.8605
      2 SNES Function norm 69.0578
      3 SNES Function norm 17.2709
      4 SNES Function norm 2.50333
      5 SNES Function norm 0.0362593
      6 SNES Function norm 8.67106e-06
      7 SNES Function norm < 1.e-11
    0 SNES Function norm 68.4529
    1 SNES Function norm 20.5996
  1 SNES Function norm 20.5996
    0 SNES Function norm 20.5996
    1 SNES Function norm 6.96932
      0 SNES Function norm 4.90654
      1 SNES Function norm 1.23848
      2 SNES Function norm 0.0505983
      3 SNES Function norm 0.000529124
      4 SNES Function norm 4.85532e-08
    0 SNES Function norm 16.6477
    1 SNES Function norm 11.6307
  2 SNES Function norm 11.6307
    0 SNES Function norm 11.6307
    1 SNES Function norm 3.22446
      0 SNES Function norm 2.39658
      1 SNES Function norm 0.342897
      2 SNES Function norm 0.0136105
      3 SNES Function norm 2.36185e-05
      4 SNES Function norm 7.269e-11
    0 SNES Function norm 1.96253
    1 SNES Function norm 0.322793
  3 SNES Function norm 0.322793
    0 SNES Function norm 0.322793
    1 SNES Function norm 0.0148152
      0 SNES Function norm 0.00758764
      1 SNES Function norm 6.45362e-06
      2 SNES Function norm < 1.e-11
    0 SNES Function norm 0.0129681
    1 SNES Function norm 1.75916e-05
  4 SNES Function norm 1.75916e-05
    0 SNES Function norm 1.75916e-05
    1 SNES Function norm 5.749e-11
      0 SNES Function norm 2.218e-11
      1 SNES Function norm < 1.e-11
    0 SNES Function norm 5.304e-11
    1 SNES Function norm < 1.e-11
  5 SNES Function norm < 1.e-11
L_2 Error: 0.00433493
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5
SNES Object: 1 MPI process
  type: fas
    type is MULTIPLICATIVE, levels=2, 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=1
      total number of function evaluations=1
      norm schedule ALWAYS
      SNESLineSearch Object: (fas_coarse_) 1 MPI process
        type: basic
        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: (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-10, 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, which is also used to construct the preconditioner:
        Mat Object: 1 MPI process
          type: seqaij
          rows=9, cols=9
          total: nonzeros=41, allocated nonzeros=41
          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
        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: (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-10, 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, which is also used to construct the preconditioner:
        Mat Object: 1 MPI process
          type: seqaij
          rows=49, cols=49
          total: nonzeros=289, allocated nonzeros=289
          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=10000, maximum function evaluations=30000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of function evaluations=1
  norm schedule ALWAYS
