  0 SNES Function norm 95.2794
    0 SNES Function norm 95.2794
    1 SNES Function norm 27.7545
      0 SNES Function norm 7.72252
      1 SNES Function norm 1.53615
      2 SNES Function norm 0.109054
      3 SNES Function norm 0.000651896
      4 SNES Function norm 2.36055e-08
    0 SNES Function norm 27.9148
    1 SNES Function norm 7.84699
  1 SNES Function norm 7.84699
    0 SNES Function norm 7.84699
    1 SNES Function norm 1.64247
      0 SNES Function norm 0.168478
      1 SNES Function norm 0.00165933
      2 SNES Function norm 1.62594e-07
      3 SNES Function norm < 1.e-11
    0 SNES Function norm 1.69667
    1 SNES Function norm 0.163849
  2 SNES Function norm 0.163849
    0 SNES Function norm 0.163849
    1 SNES Function norm 0.00249421
      0 SNES Function norm 0.000417676
      1 SNES Function norm 1.00749e-08
      2 SNES Function norm < 1.e-11
    0 SNES Function norm 0.00265254
    1 SNES Function norm 5.66326e-07
  3 SNES Function norm 5.66326e-07
L_2 Error: 0.0198799
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 3
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=2
      total number of function evaluations=2
      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=1, cols=1
          total: nonzeros=1, allocated nonzeros=1
          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=9, cols=9
          total: nonzeros=41, allocated nonzeros=41
          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
