pygambit.nash.LiapResult#
- class pygambit.nash.LiapResult(*, game: Game, rational: bool, use_strategic: bool, start: MixedStrategyProfileDouble | MixedBehaviorProfileDouble, maxregret: float, maxiter: int, equilibrium: MixedStrategyProfileDouble | MixedBehaviorProfileDouble | None, success: bool, reason: LiapTerminationReason)#
The result of liap_solve or liap_agent_solve.
- start#
The starting profile function minimization was run from.
- Type:
MixedStrategyProfileDouble or MixedBehaviorProfileDouble
- maxregret#
The acceptance criterion for approximate Nash equilibrium which was used.
- Type:
float
- maxiter#
The maximum number of iterations in function minimization which was allowed.
- Type:
int
- equilibrium#
The equilibrium found, or None if minimization did not reach an accepted equilibrium.
- Type:
MixedStrategyProfileDouble or MixedBehaviorProfileDouble, optional
- success#
Whether equilibrium was accepted.
- Type:
bool
- reason#
Why minimization did not reach an accepted equilibrium, if it did not.
- Type:
LiapTerminationReason
Methods
Attributes