pygambit.nash.EnumPolyResult#
- class pygambit.nash.EnumPolyResult(*, game: Game, rational: bool, use_strategic: bool, stop_after: int | None, maxregret: float, max_rectangles: int | None, phcpack_path: Path | str | None = None, equilibria: list[MixedStrategyProfile] | list[MixedBehaviorProfile], success: bool)#
The result of enumpoly_solve.
- stop_after#
The maximum number of equilibria which were to be computed, if specified.
- Type:
int, optional
- maxregret#
The acceptance criterion for approximate Nash equilibrium which was used.
- Type:
float
- max_rectangles#
The maximum number of rectangles examined per support which was allowed. Not set when phcpack_path was used.
- Type:
int, optional
- phcpack_path#
Set if PHCpack was used to solve the systems of equations.
- Type:
pathlib.Path or str, optional
- equilibria#
The equilibria found.
- Type:
MixedStrategyEquilibriumSet or MixedBehaviorEquilibriumSet
- success#
Always True. (A support being skipped as singular, or exhausting its rectangle budget, is reported only via event_callback; it is not yet reflected here.)
- Type:
bool
Methods
Attributes