pygambit.nash.HPResult#

class pygambit.nash.HPResult(*, game: Game, rational: bool, use_strategic: bool, prior: MixedStrategyProfileDouble, maxregret: float, equilibrium: MixedStrategyProfileDouble | None, success: bool, reason: HPTerminationReason)#

The result of hp_solve.

prior#

The prior distribution the homotopy path was traced from.

Type:

MixedStrategyProfileDouble

maxregret#

The acceptance criterion for approximate Nash equilibrium which was used.

Type:

float

equilibrium#

The equilibrium found, or None if tracing did not reach an accepted equilibrium.

Type:

MixedStrategyProfileDouble, optional

success#

Whether equilibrium was accepted.

Type:

bool

reason#

Why tracing did not reach an accepted equilibrium, if it did not.

Type:

HPTerminationReason

Methods

Attributes