0 KSP Residual norm 7.280770540237e-01
    1 KSP Residual norm 3.337812423706e-01
    2 KSP Residual norm 8.313740044832e-02
    3 KSP Residual norm 5.251832678914e-02
    4 KSP Residual norm 1.543122743897e-05
    5 KSP Residual norm 8.220995795227e-08
    0 KSP Residual norm 9.231762960553e-03
    1 KSP Residual norm 5.040043033659e-03
    2 KSP Residual norm 1.892581814900e-03
    3 KSP Residual norm 1.012579815551e-07
    4 KSP Residual norm 1.632135870899e-09
    0 KSP Residual norm 1.440683990950e-05
    1 KSP Residual norm 1.018413422571e-05
    2 KSP Residual norm 5.139805580257e-06
    3 KSP Residual norm 4.683830070462e-07
    4 KSP Residual norm 1.860650522545e-12
SNES Object: 1 MPI process
  type: newtonls
  maximum iterations=50, maximum function evaluations=10000
  tolerances: relative=1e-05, absolute=1e-25, solution=1e-05
  total number of linear solver iterations=13
  total number of function evaluations=26
  norm schedule ALWAYS
  SNESLineSearch Object: 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: 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-05, absolute=1e-25, divergence=10000.
    left preconditioning
    using PRECONDITIONED norm type for convergence test
  PC Object: 1 MPI process
    type: jacobi
      type DIAGONAL
    linear system matrix, which is also used to construct the preconditioner:
    Mat Object: 1 MPI process
      type: mffd
      rows=5, cols=5
        Matrix-free approximation:
          err=0.000345267 (relative error in function evaluation)
          Using wp compute h routine
              Does not compute normU
number of SNES iterations = 3