  0 KSP Residual norm 0.707107 
  1 KSP Residual norm 0.316228 
  2 KSP Residual norm 0.188982 
  3 KSP Residual norm 0.129099 
  4 KSP Residual norm 0.0953462 
  5 KSP Residual norm 4.80548e-07 
  6 KSP Residual norm 3.39798e-07 
  7 KSP Residual norm 2.77444e-07 
  8 KSP Residual norm 2.40274e-07 
  9 KSP Residual norm 2.14907e-07 
 10 KSP Residual norm 1.96183e-07 
 11 KSP Residual norm 1.8163e-07 
 12 KSP Residual norm 1.69899e-07 
 13 KSP Residual norm 1.60182e-07 
 14 KSP Residual norm 1.51962e-07 
 15 KSP Residual norm 1.44891e-07 
 16 KSP Residual norm 1.38722e-07 
 17 KSP Residual norm 1.3328e-07 
 18 KSP Residual norm 1.28432e-07 
 19 KSP Residual norm 1.24077e-07 
 20 KSP Residual norm 1.20137e-07 
 21 KSP Residual norm 1.1655e-07 
 22 KSP Residual norm 1.13266e-07 
 23 KSP Residual norm 1.10245e-07 
 24 KSP Residual norm 1.07454e-07 
 25 KSP Residual norm 1.04864e-07 
 26 KSP Residual norm 1.02453e-07 
 27 KSP Residual norm 1.00201e-07 
 28 KSP Residual norm 9.80913e-08 
 29 KSP Residual norm 9.61095e-08 
 30 KSP Residual norm 5.34784e-07 
 31 KSP Residual norm 1.15656e-07 
 32 KSP Residual norm 7.00905e-08 
Linear solve converged due to CONVERGED_RTOL iterations 32
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-07, absolute=1e-25, divergence=10000.
  left preconditioning
  using PRECONDITIONED norm type for convergence test
PC Object: 1 MPI processes
  type: jacobi
  linear system matrix = precond matrix:
  Mat Object: 1 MPI processes
    type: seqaij
    rows=10, cols=10
    total: nonzeros=28, allocated nonzeros=50
    total number of mallocs used during MatSetValues calls=0
      not using I-node routines
Norm of error  0.3770E-06,  Iterations =    32
