pyopensn.solver.SCDSAAcceleration

class pyopensn.solver.SCDSAAcceleration

Construct an SCDSA accelerator for the power iteration k-eigenvalue solver.

Wrapper of opensn::SCDSAAcceleration.

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

SCDSA acceleration for the power iteration k-eigenvalue solver.

Parameters:

• problem (pyopensn.solver.LBSProblem) – Existing DiscreteOrdinatesProblem instance.

• l_abs_tol (float, defauilt=1.0e-10) – Absolute residual tolerance.

• max_iters (int, default=100) – Maximum allowable iterations.

• verbose (bool, default=False) – If true, enables verbose output.

• petsc_options (str, default="ssss") – Additional PETSc options.

• pi_max_its (int, default=50) – Maximum allowable iterations for inner power iterations.

• pi_k_tol (float, default=1.0e-10) – k-eigenvalue tolerance for the inner power iterations.

• sdm (str, default="pwld") –

  Spatial discretization method to use for the diffusion solver. Valid choices are:

  • ’pwld’ : Piecewise Linear Discontinuous

  • ’pwlc’ : Piecewise Linear Continuous