atol=1e-50, rtol=1e-08, stol=1e-08, maxit=50, maxf=10000 0 SNES Function norm 5.41468 0 KSP Residual norm 7.413738310772e-01 1 KSP Residual norm 3.221324312131e-01 2 KSP Residual norm 6.875152473186e-02 3 KSP Residual norm 1.139074651077e-02 4 KSP Residual norm 6.113418305777e-17 1 SNES Function norm 0.295258 0 KSP Residual norm 1.810979803550e-02 1 KSP Residual norm 5.808317988091e-03 2 KSP Residual norm 2.154720365766e-03 3 KSP Residual norm 2.322180844758e-18 2 SNES Function norm 0.000450229 0 KSP Residual norm 2.788463317801e-05 1 KSP Residual norm 1.053607995958e-05 2 KSP Residual norm 3.077391811828e-06 3 KSP Residual norm 1.648069053284e-20 3 SNES Function norm 1.38967e-09 SNES Object: 1 MPI process 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=10 total number of function evaluations=4 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-50, divergence=10000. left preconditioning using PRECONDITIONED norm type for convergence test PC Object: 1 MPI process type: vpbjacobi number of blocks: 3 block sizes: min=1 max=2 linear system matrix, which is also used to construct the preconditioner: Mat Object: 1 MPI process rows=5, cols=5, bs=5 variable blocks set total: nonzeros=11, allocated nonzeros=15 total number of mallocs used during MatSetValues calls=0 not using I-node routines number of SNES iterations = 3 Norm of error 1.49751e-10, Iterations 3