I’d like to get basic some sort of iterate diagnostic information about the convergence of my linear solver, invoked via a LinearProblem
structure within the Python implementation. If I were just doing pure, command line petsc, I’d execute with the -ksp_monitor
flag and that would give me what I want, but I can’t figure out what the analog is here.
You can pass whatever PETSc options you want to the dolfinx.fem.petsc.LinearProblem
. Take for instance the demo_poisson.py
demo and use
problem = LinearProblem(a, L, bcs=[bc], petsc_options={"ksp_type": "preonly", "pc_type": "lu", "ksp_monitor": ""})
to see
Residual norms for dolfinx_solve_140057445083280 solve.
0 KSP Residual norm 3.576808899808e-01
1 KSP Residual norm 2.628530401697e-15
in the terminal output.
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