  0 SNES Function norm 1.18879 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.194684 
        1 KSP Residual norm 0.030675 
        2 KSP Residual norm 0.0120292 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00233679 
        1 KSP Residual norm 0.0003665 
        2 KSP Residual norm 0.000169354 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.244485 
      1 KSP Residual norm 0.0505014 
      2 KSP Residual norm 0.0161306 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00216904 
        1 KSP Residual norm 0.0011906 
        2 KSP Residual norm 0.000625709 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000184829 
        1 KSP Residual norm 3.3099e-05 
        2 KSP Residual norm 2.24392e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00374703 
      1 KSP Residual norm 0.000624975 
      2 KSP Residual norm 0.000317069 
    0 KSP Residual norm 1.63072 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.119365 
        1 KSP Residual norm 0.0188045 
        2 KSP Residual norm 0.00737476 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00143266 
        1 KSP Residual norm 0.000224646 
        2 KSP Residual norm 0.000103788 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.149887 
      1 KSP Residual norm 0.0309647 
      2 KSP Residual norm 0.00988799 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00132903 
        1 KSP Residual norm 0.00072922 
        2 KSP Residual norm 0.000383143 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000113186 
        1 KSP Residual norm 2.0269e-05 
        2 KSP Residual norm 1.37412e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00229642 
      1 KSP Residual norm 0.000383033 
      2 KSP Residual norm 0.000194272 
    1 KSP Residual norm 0.000533824 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.177928 
        1 KSP Residual norm 0.022578 
        2 KSP Residual norm 0.0110267 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00277426 
        1 KSP Residual norm 0.000401463 
        2 KSP Residual norm 0.000234392 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.199168 
      1 KSP Residual norm 0.0503487 
      2 KSP Residual norm 0.014375 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00302795 
        1 KSP Residual norm 0.00155794 
        2 KSP Residual norm 0.00104262 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000272375 
        1 KSP Residual norm 4.96708e-05 
        2 KSP Residual norm 3.35714e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00297881 
      1 KSP Residual norm 0.000594731 
      2 KSP Residual norm 0.000283105 
    2 KSP Residual norm 1.90609e-07 
  1 SNES Function norm 0.00512515 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00292321 
        1 KSP Residual norm 0.000578255 
        2 KSP Residual norm 0.00039714 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000149634 
        1 KSP Residual norm 2.87576e-05 
        2 KSP Residual norm 2.03586e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00181662 
      1 KSP Residual norm 0.000173756 
      2 KSP Residual norm 0.000143653 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000146797 
        1 KSP Residual norm 0.000112396 
        2 KSP Residual norm 8.76433e-05 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 2.81574e-05 
        1 KSP Residual norm 5.37224e-06 
        2 KSP Residual norm 3.81976e-06 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 6.04523e-05 
      1 KSP Residual norm 6.77419e-06 
      2 KSP Residual norm 5.79918e-06 
    0 KSP Residual norm 0.129518 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0225486 
        1 KSP Residual norm 0.00446037 
        2 KSP Residual norm 0.00306332 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0011542 
        1 KSP Residual norm 0.00022182 
        2 KSP Residual norm 0.000157034 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0140069 
      1 KSP Residual norm 0.00133977 
      2 KSP Residual norm 0.00110758 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00113188 
        1 KSP Residual norm 0.00086663 
        2 KSP Residual norm 0.000675775 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000217108 
        1 KSP Residual norm 4.14227e-05 
        2 KSP Residual norm 2.94523e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.000466102 
      1 KSP Residual norm 5.22281e-05 
      2 KSP Residual norm 4.47123e-05 
    1 KSP Residual norm 2.28818e-06 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.22351 
        1 KSP Residual norm 0.0368231 
        2 KSP Residual norm 0.0135996 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0028263 
        1 KSP Residual norm 0.000468054 
        2 KSP Residual norm 0.000186408 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.3504 
      1 KSP Residual norm 0.0406521 
      2 KSP Residual norm 0.0284382 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.023771 
        1 KSP Residual norm 0.0181738 
        2 KSP Residual norm 0.0141338 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00454381 
        1 KSP Residual norm 0.000866664 
        2 KSP Residual norm 0.000616278 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0110303 
      1 KSP Residual norm 0.00139261 
      2 KSP Residual norm 0.00109249 
    2 KSP Residual norm 1.10585e-09 
  2 SNES Function norm 3.92242e-05 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 2.36146e-05 
        1 KSP Residual norm 4.65639e-06 
        2 KSP Residual norm 3.25226e-06 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 1.24742e-06 
        1 KSP Residual norm 2.36616e-07 
        2 KSP Residual norm 1.69894e-07 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 1.58466e-05 
      1 KSP Residual norm 1.18814e-06 
      2 KSP Residual norm 1.1063e-06 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 1.21451e-06 
        1 KSP Residual norm 9.33483e-07 
        2 KSP Residual norm 7.30456e-07 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 2.4023e-07 
        1 KSP Residual norm 4.51478e-08 
        2 KSP Residual norm 3.25562e-08 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 5.10078e-07 
      1 KSP Residual norm 4.92325e-08 
      2 KSP Residual norm 4.46997e-08 
    0 KSP Residual norm 0.00106141 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0222263 
        1 KSP Residual norm 0.00438264 
        2 KSP Residual norm 0.00306106 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00117409 
        1 KSP Residual norm 0.000222705 
        2 KSP Residual norm 0.000159906 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.01491 
      1 KSP Residual norm 0.00111784 
      2 KSP Residual norm 0.00104089 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00114276 
        1 KSP Residual norm 0.000878339 
        2 KSP Residual norm 0.000687307 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000226039 
        1 KSP Residual norm 4.24808e-05 
        2 KSP Residual norm 3.06331e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00047993 
      1 KSP Residual norm 4.63205e-05 
      2 KSP Residual norm 4.20572e-05 
    1 KSP Residual norm 1.11586e-08 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0966491 
        1 KSP Residual norm 0.0162462 
        2 KSP Residual norm 0.00604164 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00115852 
        1 KSP Residual norm 0.000197253 
        2 KSP Residual norm 7.63076e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.49246 
      1 KSP Residual norm 0.0451306 
      2 KSP Residual norm 0.0366138 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0325625 
        1 KSP Residual norm 0.0250288 
        2 KSP Residual norm 0.019529 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00641893 
        1 KSP Residual norm 0.00120627 
        2 KSP Residual norm 0.000869898 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0154819 
      1 KSP Residual norm 0.00171524 
      2 KSP Residual norm 0.00140919 
    2 KSP Residual norm < 1.e-11
  3 SNES Function norm 2.66193e-09 
SNES Object: 1 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=6
  total number of function evaluations=4
  norm schedule ALWAYS
  SNESLineSearch Object:   1 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:   1 MPI processes
    type: gmres
      GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
      GMRES: happy breakdown tolerance 1e-30
    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:   1 MPI processes
    type: mg
      MG: type is FULL, levels=3 cycles=v
        Using Galerkin computed coarse grid matrices
    Coarse grid solver -- level -------------------------------
      KSP Object:      (mg_coarse_)       1 MPI processes
        type: preonly
        maximum iterations=1, initial guess is zero
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using NONE norm type for convergence test
      PC Object:      (mg_coarse_)       1 MPI processes
        type: lu
          LU: out-of-place factorization
          tolerance for zero pivot 2.22045e-14
          using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
          matrix ordering: nd
          factor fill ratio given 5., needed 1.59172
            Factored matrix follows:
              Mat Object:               1 MPI processes
                type: seqaij
                rows=25, cols=25
                package used to perform factorization: petsc
                total: nonzeros=269, allocated nonzeros=269
                total number of mallocs used during MatSetValues calls =0
                  using I-node routines: found 17 nodes, limit used is 5
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          type: seqaij
          rows=25, cols=25
          total: nonzeros=169, allocated nonzeros=169
          total number of mallocs used during MatSetValues calls =0
            not using I-node routines
    Down solver (pre-smoother) on level 1 -------------------------------
      KSP Object:      (mg_levels_1_)       1 MPI processes
        type: chebyshev
          Chebyshev: eigenvalue estimates:  min = 0.49832, max = 1.0963
          Chebyshev: eigenvalues estimated using gmres with translations  [0. 0.5; 0. 1.1]
          KSP Object:          (mg_levels_1_esteig_)           1 MPI processes
            type: gmres
              GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
              GMRES: happy breakdown tolerance 1e-30
            maximum iterations=10, initial guess is zero
            tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
            left preconditioning
            using PRECONDITIONED norm type for convergence test
        maximum iterations=2
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using nonzero initial guess
        using UNPRECONDITIONED norm type for convergence test
      PC Object:      (mg_levels_1_)       1 MPI processes
        type: sor
          SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          type: seqaij
          rows=81, cols=81
          total: nonzeros=625, allocated nonzeros=625
          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 -------------------------------
      KSP Object:      (mg_levels_2_)       1 MPI processes
        type: chebyshev
          Chebyshev: eigenvalue estimates:  min = 0.491545, max = 1.0814
          Chebyshev: eigenvalues estimated using gmres with translations  [0. 0.5; 0. 1.1]
          KSP Object:          (mg_levels_2_esteig_)           1 MPI processes
            type: gmres
              GMRES: restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
              GMRES: happy breakdown tolerance 1e-30
            maximum iterations=10, initial guess is zero
            tolerances:  relative=1e-12, absolute=1e-50, divergence=10000.
            left preconditioning
            using PRECONDITIONED norm type for convergence test
        maximum iterations=2
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using nonzero initial guess
        using UNPRECONDITIONED norm type for convergence test
      PC Object:      (mg_levels_2_)       1 MPI processes
        type: sor
          SOR: type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
        linear system matrix = precond matrix:
        Mat Object:         1 MPI processes
          type: seqaij
          rows=289, cols=289
          total: nonzeros=1377, allocated nonzeros=1377
          total number of mallocs used during MatSetValues calls =0
            not using I-node routines
    Up solver (post-smoother) same as down solver (pre-smoother)
    linear system matrix = precond matrix:
    Mat Object:     1 MPI processes
      type: seqaij
      rows=289, cols=289
      total: nonzeros=1377, allocated nonzeros=1377
      total number of mallocs used during MatSetValues calls =0
        not using I-node routines
