  0 SNES Function norm 1.32334 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 1.3212 
        1 KSP Residual norm 0.299275 
        2 KSP Residual norm 0.043515 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0408746 
        1 KSP Residual norm 0.00715117 
        2 KSP Residual norm 0.00200882 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 1.34445 
      1 KSP Residual norm 0.289515 
      2 KSP Residual norm 0.0546877 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0380401 
        1 KSP Residual norm 0.00836889 
        2 KSP Residual norm 0.00486415 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00592336 
        1 KSP Residual norm 0.00127555 
        2 KSP Residual norm 0.000253948 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0502885 
      1 KSP Residual norm 0.00692009 
      2 KSP Residual norm 0.00304318 
    0 KSP Residual norm 5.82901 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.22657 
        1 KSP Residual norm 0.0513167 
        2 KSP Residual norm 0.00746422 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00701122 
        1 KSP Residual norm 0.0012265 
        2 KSP Residual norm 0.000344611 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.230327 
      1 KSP Residual norm 0.0496328 
      2 KSP Residual norm 0.00935522 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00652181 
        1 KSP Residual norm 0.00143468 
        2 KSP Residual norm 0.000834414 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00101614 
        1 KSP Residual norm 0.000218815 
        2 KSP Residual norm 4.35646e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0085981 
      1 KSP Residual norm 0.00118416 
      2 KSP Residual norm 0.000520109 
    1 KSP Residual norm 0.00134258 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.524964 
        1 KSP Residual norm 0.103069 
        2 KSP Residual norm 0.0217471 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0207058 
        1 KSP Residual norm 0.00314867 
        2 KSP Residual norm 0.00113072 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 1.8397 
      1 KSP Residual norm 0.217655 
      2 KSP Residual norm 0.117319 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0498378 
        1 KSP Residual norm 0.0109218 
        2 KSP Residual norm 0.00247682 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00270397 
        1 KSP Residual norm 0.000566248 
        2 KSP Residual norm 0.000118256 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.11456 
      1 KSP Residual norm 0.012674 
      2 KSP Residual norm 0.00749368 
    2 KSP Residual norm 2.52518e-06 
  1 SNES Function norm 0.0426538 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0793943 
        1 KSP Residual norm 0.017905 
        2 KSP Residual norm 0.00276128 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000710871 
        1 KSP Residual norm 0.000148814 
        2 KSP Residual norm 2.61706e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0422535 
      1 KSP Residual norm 0.0104256 
      2 KSP Residual norm 0.000711525 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00102555 
        1 KSP Residual norm 0.000703008 
        2 KSP Residual norm 0.000457301 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000432665 
        1 KSP Residual norm 9.69389e-05 
        2 KSP Residual norm 1.52326e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.000226183 
      1 KSP Residual norm 4.76493e-05 
      2 KSP Residual norm 1.0857e-05 
    0 KSP Residual norm 0.780398 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.101721 
        1 KSP Residual norm 0.0229401 
        2 KSP Residual norm 0.00353783 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000910901 
        1 KSP Residual norm 0.000190679 
        2 KSP Residual norm 3.35381e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0541359 
      1 KSP Residual norm 0.0133576 
      2 KSP Residual norm 0.000911499 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00131394 
        1 KSP Residual norm 0.000900707 
        2 KSP Residual norm 0.000585904 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000554339 
        1 KSP Residual norm 0.0001242 
        2 KSP Residual norm 1.95163e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.00028944 
      1 KSP Residual norm 6.10183e-05 
      2 KSP Residual norm 1.38846e-05 
    1 KSP Residual norm 1.23638e-05 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.396136 
        1 KSP Residual norm 0.0823979 
        2 KSP Residual norm 0.0138349 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0143355 
        1 KSP Residual norm 0.0024337 
        2 KSP Residual norm 0.000681786 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.624996 
      1 KSP Residual norm 0.0849283 
      2 KSP Residual norm 0.0370791 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0121259 
        1 KSP Residual norm 0.00254363 
        2 KSP Residual norm 0.000483193 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000359102 
        1 KSP Residual norm 6.39233e-05 
        2 KSP Residual norm 1.7077e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0361135 
      1 KSP Residual norm 0.00417517 
      2 KSP Residual norm 0.002293 
    2 KSP Residual norm 1.0644e-08 
  2 SNES Function norm 0.000676784 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00128086 
        1 KSP Residual norm 0.000282989 
        2 KSP Residual norm 4.71378e-05 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 1.75471e-05 
        1 KSP Residual norm 3.47885e-06 
        2 KSP Residual norm 7.25532e-07 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.000688903 
      1 KSP Residual norm 0.000169178 
      2 KSP Residual norm 1.32901e-05 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 1.991e-05 
        1 KSP Residual norm 1.14298e-05 
        2 KSP Residual norm 7.56087e-06 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 7.30858e-06 
        1 KSP Residual norm 1.64187e-06 
        2 KSP Residual norm 2.5929e-07 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 4.03112e-06 
      1 KSP Residual norm 9.40672e-07 
      2 KSP Residual norm 1.73312e-07 
    0 KSP Residual norm 0.0123756 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.103481 
        1 KSP Residual norm 0.0228627 
        2 KSP Residual norm 0.00380829 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00141765 
        1 KSP Residual norm 0.000281056 
        2 KSP Residual norm 5.86174e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0556575 
      1 KSP Residual norm 0.0136682 
      2 KSP Residual norm 0.00107369 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00160855 
        1 KSP Residual norm 0.000923429 
        2 KSP Residual norm 0.000610855 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.000590472 
        1 KSP Residual norm 0.000132649 
        2 KSP Residual norm 2.09484e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.000325537 
      1 KSP Residual norm 7.59825e-05 
      2 KSP Residual norm 1.39924e-05 
    1 KSP Residual norm 2.71146e-07 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.384332 
        1 KSP Residual norm 0.0842136 
        2 KSP Residual norm 0.0117152 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.0119953 
        1 KSP Residual norm 0.00218223 
        2 KSP Residual norm 0.000525707 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.307391 
      1 KSP Residual norm 0.0524142 
      2 KSP Residual norm 0.0157681 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00668548 
        1 KSP Residual norm 0.00129655 
        2 KSP Residual norm 0.000287599 
        Residual norms for mg_levels_1_ solve.
        0 KSP Residual norm 0.00021681 
        1 KSP Residual norm 4.00612e-05 
        2 KSP Residual norm 1.00219e-05 
      Residual norms for mg_levels_2_ solve.
      0 KSP Residual norm 0.0154905 
      1 KSP Residual norm 0.00200478 
      2 KSP Residual norm 0.0009371 
    2 KSP Residual norm 1.134e-10 
  3 SNES Function norm 1.8565e-07 
SNES Object: 1 MPI processes
  type: newtonls
  maximum iterations=50, maximum function evaluations=10000
  tolerances: relative=1e-05, absolute=1e-50, solution=1e-08
  total number of linear solver iterations=6
  total number of function evaluations=4
  norm schedule ALWAYS
  Jacobian is built using a DMDA local Jacobian
  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
      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-05, absolute=1e-50, divergence=10000.
    left preconditioning
    using PRECONDITIONED norm type for convergence test
  PC Object: 1 MPI processes
    type: mg
      type is FULL, levels=3 cycles=v
        Using Galerkin computed coarse grid matrices for pmat
    Coarse grid solver -- level -------------------------------
      KSP Object: (mg_coarse_) 1 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: (mg_coarse_) 1 MPI processes
        type: 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
                  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
          eigenvalue targets used: min 0.499526, max 1.09896
          eigenvalues estimated via gmres: min 0.229855, max 0.999052
          eigenvalues estimated using gmres with transform: [0. 0.5; 0. 1.1]
          KSP Object: (mg_levels_1_esteig_) 1 MPI processes
            type: gmres
              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
              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
          estimating eigenvalues using noisy right hand side
        maximum iterations=2, nonzero initial guess
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using UNPRECONDITIONED norm type for convergence test
      PC Object: (mg_levels_1_) 1 MPI processes
        type: 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
          eigenvalue targets used: min 0.499175, max 1.09819
          eigenvalues estimated via gmres: min 0.050574, max 0.998351
          eigenvalues estimated using gmres with transform: [0. 0.5; 0. 1.1]
          KSP Object: (mg_levels_2_esteig_) 1 MPI processes
            type: gmres
              restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement
              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
          estimating eigenvalues using noisy right hand side
        maximum iterations=2, nonzero initial guess
        tolerances:  relative=1e-05, absolute=1e-50, divergence=10000.
        left preconditioning
        using UNPRECONDITIONED norm type for convergence test
      PC Object: (mg_levels_2_) 1 MPI processes
        type: 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
