  0 SNES Function norm 3393.27 
    0 SNES Function norm 3393.27 
    1 SNES Function norm 937.658 
      0 SNES Function norm 858.91 
      1 SNES Function norm 343.648 
        0 SNES Function norm 280.975 
        1 SNES Function norm 193.8 
        2 SNES Function norm 61483.3 
        3 SNES Function norm 18172.6 
        4 SNES Function norm 5338.44 
        5 SNES Function norm 1535.53 
        6 SNES Function norm 411.217 
        7 SNES Function norm 86.8927 
        8 SNES Function norm 8.80363 
        9 SNES Function norm 0.129676 
       10 SNES Function norm 2.95746e-05 
       11 SNES Function norm < 1.e-11
      0 SNES Function norm 270.325 
      1 SNES Function norm 160.311 
    0 SNES Function norm 761.459 
    1 SNES Function norm 226.117 
  1 SNES Function norm 226.117 
    0 SNES Function norm 226.117 
    1 SNES Function norm 67.3939 
      0 SNES Function norm 46.5799 
      1 SNES Function norm 19.1174 
        0 SNES Function norm 14.928 
        1 SNES Function norm 32.9353 
        2 SNES Function norm 7.81802 
        3 SNES Function norm 1.11611 
        4 SNES Function norm 0.0418023 
        5 SNES Function norm 0.000198014 
        6 SNES Function norm 2.54954e-08 
      0 SNES Function norm 29.0551 
      1 SNES Function norm 17.1993 
    0 SNES Function norm 32.2278 
    1 SNES Function norm 8.04014 
  2 SNES Function norm 8.04014 
    0 SNES Function norm 8.04014 
    1 SNES Function norm 2.06394 
      0 SNES Function norm 1.45779 
      1 SNES Function norm 0.168478 
        0 SNES Function norm 0.165074 
        1 SNES Function norm 0.00222455 
        2 SNES Function norm 4.88422e-07 
        3 SNES Function norm < 1.e-11
      0 SNES Function norm 0.0994333 
      1 SNES Function norm 0.00170898 
    0 SNES Function norm 1.30474 
    1 SNES Function norm 0.113808 
  3 SNES Function norm 0.113808 
    0 SNES Function norm 0.113808 
    1 SNES Function norm 0.00241367 
      0 SNES Function norm 0.00139771 
      1 SNES Function norm 2.40633e-07 
        0 SNES Function norm 1.98296e-07 
        1 SNES Function norm < 1.e-11
        2 SNES Function norm < 1.e-11
      0 SNES Function norm 1.73041e-07 
      1 SNES Function norm < 1.e-11
    0 SNES Function norm 0.00208615 
    1 SNES Function norm 3.38175e-06 
  4 SNES Function norm 3.38175e-06 
L_2 Error: 0.00362874
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4
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=2
      total number of function evaluations=2
      norm schedule ALWAYS
      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-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 = precond matrix:
        Mat Object: 1 MPI process
          type: seqaij
          rows=5, cols=5
          total: nonzeros=13, allocated nonzeros=13
          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=30000
      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-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 = precond matrix:
        Mat Object: 1 MPI process
          type: seqaij
          rows=25, cols=25
          total: nonzeros=137, allocated nonzeros=137
          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=30000
      tolerances: relative=0., absolute=1e-11, 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-10, 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=113, cols=113
          total: nonzeros=721, allocated nonzeros=721
          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
