  0 SNES Function norm 6756.94 
    0 SNES Function norm 6756.94 
    1 SNES Function norm 1979.65 
      0 SNES Function norm 948.794 
      1 SNES Function norm 440.163 
      2 SNES Function norm 7286.53 
      3 SNES Function norm 2135.28 
      4 SNES Function norm 600.556 
      5 SNES Function norm 152.49 
      6 SNES Function norm 29.6007 
      7 SNES Function norm 4.30356 
      8 SNES Function norm 0.967874 
      9 SNES Function norm 0.142767 
     10 SNES Function norm 0.00463994 
     11 SNES Function norm 5.39163e-06 
    0 SNES Function norm 3646.23 
    1 SNES Function norm 1081.03 
  1 SNES Function norm 1081.03 
    0 SNES Function norm 1081.03 
    1 SNES Function norm 320.949 
      0 SNES Function norm 151.822 
      1 SNES Function norm 4799.6 
      2 SNES Function norm 1411.12 
      3 SNES Function norm 405.791 
      4 SNES Function norm 108.979 
      5 SNES Function norm 21.852 
      6 SNES Function norm 1.7527 
      7 SNES Function norm 0.0173367 
      8 SNES Function norm 2.07779e-06 
      9 SNES Function norm < 1.e-11
    0 SNES Function norm 401.364 
    1 SNES Function norm 119.145 
  2 SNES Function norm 119.145 
    0 SNES Function norm 119.145 
    1 SNES Function norm 35.4235 
      0 SNES Function norm 23.8696 
      1 SNES Function norm 63.4249 
      2 SNES Function norm 48.2 
      3 SNES Function norm 14.1942 
      4 SNES Function norm 4.09323 
      5 SNES Function norm 1.02386 
      6 SNES Function norm 0.114062 
      7 SNES Function norm 0.00213367 
      8 SNES Function norm 7.792e-07 
      9 SNES Function norm < 1.e-11
    0 SNES Function norm 296.079 
    1 SNES Function norm 88.0037 
  3 SNES Function norm 88.0037 
    0 SNES Function norm 88.0037 
    1 SNES Function norm 26.3428 
      0 SNES Function norm 18.2316 
      1 SNES Function norm 199.54 
      2 SNES Function norm 55.8244 
      3 SNES Function norm 13.7021 
      4 SNES Function norm 2.24731 
      5 SNES Function norm 0.129872 
      6 SNES Function norm 0.00090092 
      7 SNES Function norm 3.31413e-07 
      8 SNES Function norm < 1.e-11
    0 SNES Function norm 88.2604 
    1 SNES Function norm 26.1868 
  4 SNES Function norm 26.1868 
    0 SNES Function norm 26.1868 
    1 SNES Function norm 7.78561 
      0 SNES Function norm 6.15863 
      1 SNES Function norm 3.23026 
      2 SNES Function norm 96.3642 
      3 SNES Function norm 27.9623 
      4 SNES Function norm 7.86654 
      5 SNES Function norm 2.07044 
      6 SNES Function norm 0.461842 
      7 SNES Function norm 0.0578646 
      8 SNES Function norm 0.00145046 
      9 SNES Function norm 1.03444e-06 
     10 SNES Function norm < 1.e-11
    0 SNES Function norm 31.0513 
    1 SNES Function norm 9.57145 
  5 SNES Function norm 9.57145 
    0 SNES Function norm 9.57145 
    1 SNES Function norm 3.08923 
      0 SNES Function norm 2.42266 
      1 SNES Function norm 17.574 
      2 SNES Function norm 4.77565 
      3 SNES Function norm 1.06724 
      4 SNES Function norm 0.125913 
      5 SNES Function norm 0.00267886 
      6 SNES Function norm 2.04053e-06 
      7 SNES Function norm 1.15747e-09 
    0 SNES Function norm 2.29459 
    1 SNES Function norm 0.734818 
  6 SNES Function norm 0.734818 
    0 SNES Function norm 0.734818 
    1 SNES Function norm 0.161953 
      0 SNES Function norm 0.10505 
      1 SNES Function norm 0.0071847 
      2 SNES Function norm 0.000116613 
      3 SNES Function norm 7.9238e-08 
      4 SNES Function norm < 1.e-11
    0 SNES Function norm 0.112554 
    1 SNES Function norm 0.00782261 
  7 SNES Function norm 0.00782261 
    0 SNES Function norm 0.00782261 
    1 SNES Function norm 0.000229847 
      0 SNES Function norm 0.000184177 
      1 SNES Function norm 1.97362e-07 
      2 SNES Function norm < 1.e-11
    0 SNES Function norm 0.000186176 
    1 SNES Function norm 2.72581e-07 
  8 SNES Function norm 2.72581e-07 
L_2 Error: 0.00137489
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 8
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
        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=103, cols=103
          total: nonzeros=819, allocated nonzeros=819
          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=319, cols=319
          total: nonzeros=2741, allocated nonzeros=2741
          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
