0 SNES Function norm 437.423 
    0 SNES Function norm 437.423 
    1 SNES Function norm 124.966 
      0 SNES Function norm 123.954 
      1 SNES Function norm 55.8642 
      2 SNES Function norm 69.1988 
      3 SNES Function norm 17.3006 
      4 SNES Function norm 2.50206 
      5 SNES Function norm 0.0361675 
      6 SNES Function norm 8.60483e-06 
      7 SNES Function norm < 1.e-11
    0 SNES Function norm 68.4527 
    1 SNES Function norm 20.5995 
  1 SNES Function norm 20.5995 
    0 SNES Function norm 20.5995 
    1 SNES Function norm 6.97312 
      0 SNES Function norm 4.90173 
      1 SNES Function norm 1.23212 
      2 SNES Function norm 0.050306 
      3 SNES Function norm 0.000524318 
      4 SNES Function norm 4.76171e-08 
    0 SNES Function norm 16.6695 
    1 SNES Function norm 11.6479 
  2 SNES Function norm 11.6479 
    0 SNES Function norm 11.6479 
    1 SNES Function norm 3.22862 
      0 SNES Function norm 2.40157 
      1 SNES Function norm 0.343444 
      2 SNES Function norm 0.0136405 
      3 SNES Function norm 2.36921e-05 
      4 SNES Function norm 7.298e-11 
    0 SNES Function norm 1.96475 
    1 SNES Function norm 0.320567 
  3 SNES Function norm 0.320567 
    0 SNES Function norm 0.320567 
    1 SNES Function norm 0.0145963 
      0 SNES Function norm 0.00751029 
      1 SNES Function norm 6.33223e-06 
      2 SNES Function norm < 1.e-11
    0 SNES Function norm 0.0127758 
    1 SNES Function norm 1.70457e-05 
  4 SNES Function norm 1.70457e-05 
    0 SNES Function norm 1.70457e-05 
    1 SNES Function norm 5.930e-11 
      0 SNES Function norm 2.075e-11 
      1 SNES Function norm < 1.e-11
    0 SNES Function norm 5.556e-11 
    1 SNES Function norm < 1.e-11
  5 SNES Function norm < 1.e-11
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5
SNES Object: 2 MPI processes
  type: fas
  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_)     2 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=1
      total number of function evaluations=1
      SNESLineSearch Object:      (fas_coarse_)       2 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_)       2 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_)       2 MPI processes
        type: svd
        linear system matrix = precond matrix:
        Mat Object:         2 MPI processes
          type: mpiaij
          rows=9, cols=9
          total: nonzeros=41, allocated nonzeros=41
          total number of mallocs used during MatSetValues calls =0
            not using I-node (on process 0) routines
  Down solver (pre-smoother) on level 1 -------------------------------
    SNES Object:    (fas_levels_1_)     2 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_)       2 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_)       2 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_)       2 MPI processes
        type: svd
        linear system matrix = precond matrix:
        Mat Object:         2 MPI processes
          type: mpiaij
          rows=49, cols=49
          total: nonzeros=289, allocated nonzeros=289
          total number of mallocs used during MatSetValues calls =0
            not using I-node (on process 0) 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:   2 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 = 5
L_2 Error: 0.0054025