  0 SNES Function norm 588.312
    0 SNES Function norm 588.312
    1 SNES Function norm 170.564
      0 SNES Function norm 200.44
      1 SNES Function norm 384183.
      2 SNES Function norm 113825.
      3 SNES Function norm 33722.
      4 SNES Function norm 9996.42
      5 SNES Function norm 2966.69
      6 SNES Function norm 889.667
      7 SNES Function norm 283.217
      8 SNES Function norm 114.369
      9 SNES Function norm 82.4667
     10 SNES Function norm 15.198
     11 SNES Function norm 1.75853
     12 SNES Function norm 0.0442023
     13 SNES Function norm 3.03376e-05
     14 SNES Function norm 1.473e-11
    0 SNES Function norm 54317.8
    1 SNES Function norm 16095.6
  1 SNES Function norm 16095.6
    0 SNES Function norm 16095.6
    1 SNES Function norm 4770.16
      0 SNES Function norm 8669.11
      1 SNES Function norm 1.44449e+06
      2 SNES Function norm 426840.
      3 SNES Function norm 125382.
      4 SNES Function norm 36189.8
      5 SNES Function norm 9661.88
      6 SNES Function norm 1885.24
      7 SNES Function norm 148.898
      8 SNES Function norm 1.49564
      9 SNES Function norm 0.000191575
     10 SNES Function norm < 1.e-11
    0 SNES Function norm 2.99812e+06
    1 SNES Function norm 888335.
  2 SNES Function norm 888335.
    0 SNES Function norm 888335.
    1 SNES Function norm 263213.
      0 SNES Function norm 495852.
      1 SNES Function norm 4.52435e+07
      2 SNES Function norm 1.33691e+07
      3 SNES Function norm 3.92838e+06
      4 SNES Function norm 1.12943e+06
      5 SNES Function norm 296077.
      6 SNES Function norm 62245.3
      7 SNES Function norm 6802.13
      8 SNES Function norm 112.023
      9 SNES Function norm 0.0310048
     10 SNES Function norm 2.42339e-09
    0 SNES Function norm 1.85436e+08
    1 SNES Function norm 5.49441e+07
  3 SNES Function norm 5.49441e+07
L_2 Error: 24.908
Nonlinear solve did not converge due to DIVERGED_DTOL iterations 3
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=10
      total number of function evaluations=10
      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=12, cols=12
          total: nonzeros=56, allocated nonzeros=56
          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=49, cols=49
          total: nonzeros=289, allocated nonzeros=289
          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
