1Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 5 2SNES Object: 1 MPI process 3 type: newtontr 4 Trust region tolerance 1e-12 5 eta1=0.001, eta2=0.25, eta3=0.75 6 delta0=0.2, t1=0.25, t2=2., deltaM=1e+10 7 kmdc=0. 8 fallback=NEWTON 9 qn=SAME 10 norm=INFINITY 11 maximum iterations=50, maximum function evaluations=10000 12 tolerances: relative=1e-08, absolute=1e-50, solution=0. 13 total number of linear solver iterations=5 14 total number of function evaluations=6 15 norm schedule ALWAYS 16 KSP Object: 1 MPI process 17 type: gmres 18 restart=30, using Classical (unmodified) Gram-Schmidt Orthogonalization with no iterative refinement 19 happy breakdown tolerance 1e-30 20 maximum iterations=10000, initial guess is zero 21 tolerances: relative=1e-05, absolute=1e-50, divergence=10000. 22 left preconditioning 23 using PRECONDITIONED norm type for convergence test 24 PC Object: 1 MPI process 25 type: mat 26 PCApply() == MatSolve() 27 linear system matrix = precond matrix: 28 Mat Object: (snes_tr_qn_) 1 MPI process 29 type: lmvmdfp 30 rows=16, cols=16 31 Scale type: DIAGONAL 32 Scale history: 1 33 Scale params: alpha=1., beta=0.5, rho=1. 34 Convex factors: phi=1., theta=0.125 35 Max. storage: 5 36 Used storage: 4 37 Number of updates: 4 38 Number of rejects: 0 39 Number of resets: 0 40 Mat Object: (snes_tr_qn_J0_) 1 MPI process 41 type: lmvmdiagbroyden 42 rows=16, cols=16 43 Scale history: 1 44 Scale params: alpha=1., beta=0.5, rho=1. 45 Convex factor: theta=0.125 46 Max. storage: 1 47 Used storage: 1 48 Number of updates: 4 49 Number of rejects: 0 50 Number of resets: 0 51Number of SNES iterations = 5 52