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add keyword for twisted product_matrix
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12
src/sdps.jl
12
src/sdps.jl
@ -1,14 +1,18 @@
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using JuMP
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using JuMP
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import MathProgBase: AbstractMathProgSolver
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import MathProgBase: AbstractMathProgSolver
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function create_product_matrix{T}(basis::Vector{T}, limit)
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function create_product_matrix{T}(basis::Vector{T}, limit; twisted=true)
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product_matrix = zeros(Int, (limit,limit))
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product_matrix = zeros(Int, (limit,limit))
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basis_dict = Dict{T, Int}(x => i
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basis_dict = Dict{T, Int}(x => i
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for (i,x) in enumerate(basis))
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for (i,x) in enumerate(basis))
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for i in 1:limit
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for i in 1:limit
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x_inv::eltype(basis) = inv(basis[i])
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if twisted
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x = inv(basis[i])
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else
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x = basis[i]
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end
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for j in 1:limit
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for j in 1:limit
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w = x_inv*basis[j]
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w = x*basis[j]
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product_matrix[i,j] = basis_dict[w]
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product_matrix[i,j] = basis_dict[w]
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# index = findfirst(basis, w)
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# index = findfirst(basis, w)
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# index ≠ 0 || throw(ArgumentError("Product is not supported on basis: $w"))
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# index ≠ 0 || throw(ArgumentError("Product is not supported on basis: $w"))
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@ -18,6 +22,8 @@ function create_product_matrix{T}(basis::Vector{T}, limit)
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return product_matrix
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return product_matrix
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end
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end
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create_product_matrix{T}(basis::Vector{T}; twisted=twisted) = create_product_matrix(basis, length(basis); twisted=twisted)
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function constraints_from_pm(pm, total_length)
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function constraints_from_pm(pm, total_length)
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n = size(pm,1)
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n = size(pm,1)
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constraints = constraints = [Array{Int,1}[] for x in 1:total_length]
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constraints = constraints = [Array{Int,1}[] for x in 1:total_length]
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