4.4.7 pde.solvers.implicit module

Defines an implicit Euler solver.

class ImplicitSolver(pde, *, maxiter=100, maxerror=0.0001, backend='auto')[source]

Bases: SolverBase

Implicit (backward) Euler PDE solver.

Parameters:

  • pde (PDEBase) – The partial differential equation that should be solved

  • maxiter (int) – The maximal number of iterations per step

  • maxerror (float) – The maximal error that is permitted in each step

  • backend (str) – Determines how the function is created. Accepted values are ‘numpy` and ‘numba’. Alternatively, ‘auto’ lets the code decide for the most optimal backend.

info: dict[str, Any]
name = 'implicit'