1 0 KSP Residual norm 7.280029743643e-01 2 1 KSP Residual norm 3.337699703998e-01 3 2 KSP Residual norm 8.311740393601e-02 4 3 KSP Residual norm 5.246933530538e-02 5 4 KSP Residual norm 4.966507134009e-10 6 0 KSP Residual norm 9.243455441942e-03 7 1 KSP Residual norm 5.047059971537e-03 8 2 KSP Residual norm 1.832182661334e-03 9 3 KSP Residual norm 3.923724867924e-12 10 0 KSP Residual norm 1.415224283158e-05 11 1 KSP Residual norm 8.046855087544e-06 12 2 KSP Residual norm 3.150105943273e-06 13 3 KSP Residual norm 1.614829587474e-14 14SNES Object: 1 MPI processes 15 type: newtonls 16 maximum iterations=50, maximum function evaluations=10000 17 tolerances: relative=1e-08, absolute=1e-50, solution=1e-08 18 total number of linear solver iterations=10 19 total number of function evaluations=20 20 norm schedule ALWAYS 21 SNESLineSearch Object: 1 MPI processes 22 type: bt 23 interpolation: cubic 24 alpha=1.000000e-04 25 maxstep=1.000000e+08, minlambda=1.000000e-12 26 tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08 27 maximum iterations=40 28 KSP Object: 1 MPI processes 29 type: gmres 30 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 31 happy breakdown tolerance 1e-30 32 maximum iterations=10000, initial guess is zero 33 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 34 left preconditioning 35 using PRECONDITIONED norm type for convergence test 36 PC Object: 1 MPI processes 37 type: jacobi 38 linear system matrix followed by preconditioner matrix: 39 Mat Object: 1 MPI processes 40 type: mffd 41 rows=5, cols=5 42 Matrix-free approximation: 43 err=1.49012e-08 (relative error in function evaluation) 44 Using wp compute h routine 45 Does not compute normU 46 Mat Object: 1 MPI processes 47 type: seqaij 48 rows=5, cols=5 49 total: nonzeros=11, allocated nonzeros=15 50 total number of mallocs used during MatSetValues calls=0 51 not using I-node routines 52number of SNES iterations = 3 53 54