  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 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-07, 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: seqaij
    rows=10, cols=10
    total: nonzeros=28, allocated nonzeros=28
    total number of mallocs used during MatSetValues calls=0
      not using I-node routines
Norm of error  0.3770E-06,  Iterations =    32
