0 SNES Function norm 11.6774
    0 SNES Function norm 11.6774
    1 SNES Function norm 8.08715e-05
      0 SNES Function norm 6.89596e-05
      1 SNES Function norm 4.693e-10
        0 SNES Function norm 4.180e-10
        1 SNES Function norm < 1.e-11
      0 SNES Function norm 4.663e-10
      1 SNES Function norm < 1.e-11
    0 SNES Function norm 7.21962e-05
    1 SNES Function norm 5.178e-10
  1 SNES Function norm 5.178e-10
Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 1
SNES Object: 1 MPI process
  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_) 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=5
      total number of function evaluations=1
      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: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_coarse_) 1 MPI process
        type: jacobi
        linear system matrix, which is also used to construct the preconditioner:
        Mat Object: 1 MPI process
          type: seqaij
          rows=9, cols=9
          total: nonzeros=49, allocated nonzeros=49
          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=15
      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: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_levels_1_) 1 MPI process
        type: jacobi
        linear system matrix, which is also used to construct the preconditioner:
        Mat Object: 1 MPI process
          type: seqaij
          rows=49, cols=49
          total: nonzeros=529, allocated nonzeros=529
          total number of mallocs used during MatSetValues calls=0
            not using I-node routines
  Up solver (post-smoother) same as down solver (pre-smoother)
  Down solver (pre-smoother) on level 2 -------------------------------
    SNES Object: (fas_levels_2_) 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=30
      total number of function evaluations=2
      norm schedule FINALONLY
      SNESLineSearch Object: (fas_levels_2_) 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_2_) 1 MPI process
        type: cg
        maximum iterations=10000, initial guess is zero
        tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using PRECONDITIONED norm type for convergence test
      PC Object: (fas_levels_2_) 1 MPI process
        type: jacobi
        linear system matrix, which is also used to construct the preconditioner:
        Mat Object: 1 MPI process
          type: seqaij
          rows=225, cols=225
          total: nonzeros=3025, allocated nonzeros=3025
          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=20, 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: 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=1
Number of SNES iterations = 1
L_2 Error: 2.47417e-11
