  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
        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=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=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=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
