hydromodpy.solver.boussinesq.runtimes.picard.lscheme

Picard/L-scheme iterate: bounded relaxed linear system + projection.

Functions

accept_relaxed_candidate(*, mesh, head_old, ...)	Halve omega until the candidate residual fits the growth factor.
bounded_picard_lscheme(inputs, *[, ...])	Run the experimental strict bounded Picard/L-scheme initializer.
iteration_record(*, mesh, result, iteration, ...)	Build one PicardIterationRecord from a Picard iterate result.
lagged_internal_tau(mesh, *, thickness, ...)	Return one lagged internal-edge transmissibility coefficient.
picard_linear_system(mesh, *, head_old, ...)	Assemble A h_new = rhs with strict lagged physical transmissivity.
picard_summary(*, mesh, result, options, ...)	Return a JSON-friendly summary of one Picard/L-scheme run.
resolve_lscheme_L(mesh, *, base_diag, lscheme_L)	Resolve the L-scheme diagonal stabilization.
solve_sparse_system(matrix, rhs)	Solve a sparse linear system; raise on warnings to detect singular solves.