Utilities

NormalFormGame([T], p)

Construct a NormalFormGame (of eltype T if specified) from a GAMPayoffVector p.

Examples

julia> nums_actions = (3, 2);

julia> payoffs = collect(1:12);

julia> @show payoffs;
payoffs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

julia> p = GAMPayoffVector(nums_actions, payoffs);

julia> g = NormalFormGame(p);

julia> println(g)
3×2 NormalFormGame{2, Int64}:
 [1, 7]  [4, 10]
 [2, 8]  [5, 11]
 [3, 9]  [6, 12]

GAMPayoffVector{N,T}

Internal intermediate representation that stores payoffs in a single flat vector.

Payoff values are ordered as in the GameTracer .gam format:

1. Player-major blocks: player 1, ..., player N.
2. Within each block, action profiles are ordered with player 1 varying fastest, then player 2, ..., player N (i.e., Fortran/column-major order).

Fields

• nums_actions::NTuple{N,Int} : Tuple of the numbers of actions, one for each player.
• payoffs::Vector{T} : Vector storing payoffs in .gam order.

GAMPayoffVector([T], g)

Construct a GAMPayoffVector (of eltype T if specified) from a NormalFormGame g.

Examples

julia> player1 = Player([1 4; 2 5; 3 6]);

julia> player2 = Player([7 8 9; 10 11 12]);

julia> g = NormalFormGame(player1, player2);

julia> println(g)
3×2 NormalFormGame{2, Int64}:
 [1, 7]  [4, 10]
 [2, 8]  [5, 11]
 [3, 9]  [6, 12]

julia> p = GAMPayoffVector(g);

julia> @show p.payoffs;
p.payoffs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

clp_optimizer_silent()

Function that returns a Clp.Optimizer instance in silent mode.