pymloc.solver_container.factory

Classes

SolverContainerFactory()

Factory class for solver containers.

class pymloc.solver_container.factory.SolverContainerFactory

Bases: object

Factory class for solver containers.

Maintains the mapping between models (Solvables) and Containers of solvers.

static get_instance()

get_solver_container(problem_instance)

Parameters

problem_instance (pymloc.model.solvable.Solvable) –

Return type

pymloc.solver_container.container.SolverContainer

register_solver(problem, solver, default=False, creator_function=None)

“Registers a solver for the given problem.

Parameters

• problem (The solvable) –

• solver (A solver compliant with the solvable) –

• default (Whether this solver should be the default solver for problem.) –

• creator_function (A method of Solvable, that can be used to create another solvable for) – which other types of solvers exist. This is most suitable for higher level abstraction. E.g., optimal control problems pymloc.model.optimization.LQOptimalControl can be solved in multiple ways. One approach is via necessary conditions, which itself constitute a pymloc.model.dynamical_system.boundary_value_problem.BoundaryValueProblem. Hence, solver pymloc.solvers.dynamical_systems.multiple_shooting.MultipleShooting can bes used to solve pymloc.model.optimization.LQOptimalControl with the creator_function :method:`pymloc.model.optimization.LQOptimalControl.get_bvp`.