  0 SNES Function norm < 1.e-11
    0 SNES Function norm < 1.e-11
      0 SNES Function norm < 1.e-11
        0 SNES Function norm < 1.e-11
        1 SNES Function norm < 1.e-11
      0 SNES Function norm < 1.e-11
    0 SNES Function norm < 1.e-11
  1 SNES Function norm < 1.e-11
L_2 Error: < 1.0e-11
Nonlinear solve did not converge due to DIVERGED_MAX_IT iterations 1
SNES Object: 4 MPI processes
  type: 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_) 4 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_) 4 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_) 4 MPI processes
        type: preonly
        maximum iterations=10000, initial guess is zero
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using NONE norm type for convergence test
      PC Object: (fas_coarse_) 4 MPI processes
        type: none
        linear system matrix = precond matrix:
        Mat Object: 4 MPI processes
          type: mpiaij
          rows=211, cols=211
          total: nonzeros=2817, allocated nonzeros=2817
          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_) 4 MPI processes
      type: newtonls
      maximum iterations=1, maximum function evaluations=30000
      tolerances: relative=0., absolute=1e-10, solution=0.
      total number of linear solver iterations=0
      total number of function evaluations=1
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_1_) 4 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_) 4 MPI processes
        type: preonly
        maximum iterations=10000, initial guess is zero
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using DEFAULT norm type for convergence test
      PC Object: (fas_levels_1_) 4 MPI processes
        type: none
        PC has not been set up so information may be incomplete
    Up solver (post-smoother) same as down solver (pre-smoother)
    Down solver (pre-smoother) on level 2 -------------------------------
    SNES Object: (fas_levels_2_) 4 MPI processes
      type: newtonls
      maximum iterations=1, maximum function evaluations=30000
      tolerances: relative=0., absolute=1e-10, solution=0.
      total number of linear solver iterations=0
      total number of function evaluations=1
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_2_) 4 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_) 4 MPI processes
        type: preonly
        maximum iterations=10000, initial guess is zero
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using DEFAULT norm type for convergence test
      PC Object: (fas_levels_2_) 4 MPI processes
        type: none
        PC has not been set up so information may be incomplete
    Up solver (post-smoother) same as down solver (pre-smoother)
  maximum iterations=1, maximum function evaluations=30000
  tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
  total number of function evaluations=1
  norm schedule ALWAYS
