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a bit on support for constraints

This commit is contained in:
Marek Kaluba 2024-02-06 13:30:06 +01:00
parent 49b4c6f510
commit 3f11b2df9a
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@ -147,16 +147,22 @@ function LinearAlgebra.dot(cm::ConstraintMatrix, m::AbstractMatrix{T}) where {T}
return convert(eltype(cm), cm.val) * (pos - neg) return convert(eltype(cm), cm.val) * (pos - neg)
end end
function constraints(A::StarAlgebras.StarAlgebra; augmented::Bool) function constraints(
return constraints(basis(A), A.mstructure; augmented = augmented) A::StarAlgebras.StarAlgebra,
support = axes(A.mstructure, 1);
augmented::Bool,
)
return constraints(basis(A), support, A.mstructure; augmented = augmented)
end end
function constraints( function constraints(
basis::StarAlgebras.AbstractBasis, basis::StarAlgebras.AbstractBasis,
support,
mstr::StarAlgebras.MultiplicativeStructure; mstr::StarAlgebras.MultiplicativeStructure;
augmented = false, augmented = false,
) )
cnstrs = _constraints( cnstrs = _constraints(
support,
mstr; mstr;
augmented = augmented, augmented = augmented,
num_constraints = length(basis), num_constraints = length(basis),
@ -170,6 +176,7 @@ function constraints(
end end
function _constraints( function _constraints(
support::AbstractVector{<:Integer},
mstr::StarAlgebras.MultiplicativeStructure; mstr::StarAlgebras.MultiplicativeStructure;
augmented::Bool = false, augmented::Bool = false,
num_constraints = maximum(mstr), num_constraints = maximum(mstr),
@ -178,9 +185,11 @@ function _constraints(
cnstrs = [signed(eltype(mstr))[] for _ in 1:num_constraints] cnstrs = [signed(eltype(mstr))[] for _ in 1:num_constraints]
LI = LinearIndices(size(mstr)) LI = LinearIndices(size(mstr))
for ci in CartesianIndices(size(mstr)) l = length(support)
k = LI[ci] for ci in CartesianIndices((l, l))
i, j = Tuple(ci) i1, j1 = Tuple(ci)
i, j = support[i1], support[j1]
k = LI[CartesianIndex(i, j)]
a_star_b = mstr[-i, j] a_star_b = mstr[-i, j]
push!(cnstrs[a_star_b], k) push!(cnstrs[a_star_b], k)
if augmented if augmented
@ -193,3 +202,17 @@ function _constraints(
end end
return cnstrs return cnstrs
end end
function SparseArrays.sparse(cm::ConstraintMatrix{Tv,Ti}) where {Tv,Ti}
I = Ti[]
J = Ti[]
V = Tv[]
CI = CartesianIndices(cm)
for (idx, v) in nzpairs(cm)
ci = CI[idx]
push!(I, ci[1])
push!(J, ci[2])
push!(V, v)
end
return SparseArrays.sparse(I, J, V, size(cm)...)
end