0 SNES Function norm 3393.27 
    0 SNES Function norm 3393.27 
    1 SNES Function norm 937.659 
      0 SNES Function norm 858.913 
      1 SNES Function norm 343.65 
        0 SNES Function norm 280.974 
        1 SNES Function norm 193.798 
        2 SNES Function norm 61472.6 
        3 SNES Function norm 18169.5 
        4 SNES Function norm 5337.5 
        5 SNES Function norm 1535.26 
        6 SNES Function norm 411.137 
        7 SNES Function norm 86.8715 
        8 SNES Function norm 8.80024 
        9 SNES Function norm 0.129585 
       10 SNES Function norm 2.95376e-05 
       11 SNES Function norm < 1.e-11
      0 SNES Function norm 270.339 
      1 SNES Function norm 160.326 
    0 SNES Function norm 761.469 
    1 SNES Function norm 226.12 
  1 SNES Function norm 226.12 
    0 SNES Function norm 226.12 
    1 SNES Function norm 67.3949 
      0 SNES Function norm 46.5801 
      1 SNES Function norm 19.1175 
        0 SNES Function norm 14.928 
        1 SNES Function norm 32.9973 
        2 SNES Function norm 7.8357 
        3 SNES Function norm 1.11992 
        4 SNES Function norm 0.0420616 
        5 SNES Function norm 0.00020013 
        6 SNES Function norm 2.60505e-08 
      0 SNES Function norm 29.0632 
      1 SNES Function norm 17.1983 
    0 SNES Function norm 32.2329 
    1 SNES Function norm 8.04096 
  2 SNES Function norm 8.04096 
    0 SNES Function norm 8.04096 
    1 SNES Function norm 2.06423 
      0 SNES Function norm 1.45746 
      1 SNES Function norm 0.16851 
        0 SNES Function norm 0.164979 
        1 SNES Function norm 0.00221983 
        2 SNES Function norm 4.8617e-07 
        3 SNES Function norm < 1.e-11
      0 SNES Function norm 0.0997442 
      1 SNES Function norm 0.00171078 
    0 SNES Function norm 1.30546 
    1 SNES Function norm 0.113896 
  3 SNES Function norm 0.113896 
    0 SNES Function norm 0.113896 
    1 SNES Function norm 0.0024185 
      0 SNES Function norm 0.00140271 
      1 SNES Function norm 2.48893e-07 
        0 SNES Function norm 2.00224e-07 
        1 SNES Function norm < 1.e-11
        2 SNES Function norm < 1.e-11
      0 SNES Function norm 1.83268e-07 
      1 SNES Function norm < 1.e-11
    0 SNES Function norm 0.00209089 
    1 SNES Function norm 4.61979e-06 
  4 SNES Function norm 4.61979e-06 
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 4
SNES Object: 1 MPI processes
  type: fas
  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 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=2
      total number of function evaluations=2
      SNESLineSearch Object:      (fas_coarse_)       1 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_)       1 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: 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 processes
        type: svd
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          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 processes
      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 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_)       1 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: 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 processes
        type: svd
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          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 processes
      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_2_)       1 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_)       1 MPI processes
        type: gmres
          GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
          GMRES: 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 processes
        type: svd
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          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 linear solver iterations=0
  total number of function evaluations=1
  norm schedule ALWAYS
  SNESLineSearch Object:   1 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=1
Number of SNES iterations = 4
L_2 Error: 0.00420351