0 KSP Residual norm 7.280029654503e-01 1 KSP Residual norm 3.337686359882e-01 2 KSP Residual norm 8.313584327698e-02 3 KSP Residual norm 5.251736193895e-02 4 KSP Residual norm 1.542242534924e-05 5 KSP Residual norm 4.166617983969e-08 0 KSP Residual norm 9.233929216862e-03 1 KSP Residual norm 5.044257268310e-03 2 KSP Residual norm 1.899459050037e-03 3 KSP Residual norm 2.069697586649e-07 4 KSP Residual norm 1.956514728008e-09 0 KSP Residual norm 1.483853793616e-05 1 KSP Residual norm 6.195468358783e-06 2 KSP Residual norm 2.369386720602e-06 3 KSP Residual norm 3.775136292461e-07 4 KSP Residual norm 2.217341544750e-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=23 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, followed by the matrix 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 Mat Object: 1 MPI process type: seqaij rows=5, cols=5 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