pyopensn.solver.NonLinearKEigenSolver

class pyopensn.solver.NonLinearKEigenSolver

Non-linear k-eigenvalue solver.

Wrapper of opensn::NonLinearKEigenSolver.

Advance(self: pyopensn.solver.Solver) → None

Advance time values function.

Execute(self: pyopensn.solver.Solver) → None

Execute the solver.

GetEigenvalue(self: pyopensn.solver.NonLinearKEigenSolver) → float

Return the current k‑eigenvalue.

Initialize(self: pyopensn.solver.Solver) → None

Initialize the solver.

Step(self: pyopensn.solver.Solver) → None

Step the solver.

__init__(self: pyopensn.solver.NonLinearKEigenSolver, **kwargs) → None

Construct a non-linear k-eigenvalue solver.

Parameters:

  • lbs_problem (pyopensn.solver.LBSProblem) – Existing LBSProblem instance.

  • nl_abs_tol (float, default=1.0e-8) – Non-linear absolute tolerance.

  • nl_rel_tol (float, default=1.0e-8) – Non-linear relative tolerance.

  • nl_sol_tol (float, default=1.0e-50) – Non-linear solution tolerance.

  • nl_max_its (int, default=50) – Non-linear algorithm maximum iterations.

  • l_abs_tol (float, default=1.0e-8) – Linear absolute tolerance.

  • l_rel_tol (float, default=1.0e-8) – Linear relative tolerance.

  • l_div_tol (float, default=1.0e6) – Linear divergence tolerance.

  • l_max_its (int, default=50) – Linear algorithm maximum iterations.

  • l_gmres_restart_intvl (int, default=30) – GMRES restart interval.

  • l_gmres_breakdown_tol (float, default=1.0e6) – GMRES breakdown tolerance.

  • reset_phi0 (bool, default=True) – If true, reinitializes scalar fluxes to 1.0.

  • num_initial_power_iterations (int, default=0) – Number of initial power iterations before the non-linear solve.