pygambit.nash.liap_solve

pygambit.nash.liap_solve(game: Game, use_strategic: bool = True, maxiter: int = 100, external: bool = False) → List[MixedStrategyProfile] | List[MixedBehaviorProfile]

Compute Nash equilibria of a game using Lyapunov function minimization.

Parameters:

• game (Game) – The game to compute equilibria in.

• use_strategic (bool, default False) – Whether to use the strategic form. If True, always uses the strategic representation even if the game’s native representation is extensive.

• maxiter (int, default 100) – Maximum number of iterations in function minimization.

• external (bool, default False) – Call the external command-line solver instead of the internally-linked implementation. Requires the command-line solvers to be installed somewhere accessible in the system path.

Returns:

List of mixed strategy or mixed behavior profiles computed.

Return type:

List of profiles