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https://github.com/kalmarek/PropertyT.jl.git
synced 2024-11-14 06:10:28 +01:00
rename OrbitData → BlockDecomposition
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@ -51,8 +51,8 @@ filename(sett::Settings, ::Type{Val{:solverlog}}; kwargs...) =
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filename(sett::Settings, ::Type{Val{:Δ}}; kwargs...) =
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filename(prepath(sett), "delta", "jld"; kwargs...)
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filename(sett::Settings, ::Type{Val{:OrbitData}}; kwargs...) =
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filename(prepath(sett), "OrbitData", "jld"; kwargs...)
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filename(sett::Settings, ::Type{Val{:BlockDecomposition}}; kwargs...) =
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filename(prepath(sett), "BlockDecomposition", "jld"; kwargs...)
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filename(sett::Settings, ::Type{Val{:solution}}; kwargs...) =
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filename(fullpath(sett), "solution", "jld"; kwargs...)
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@ -125,7 +125,7 @@ function approximate_by_SOS(sett::Symmetrized,
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isdir(fullpath(sett)) || mkpath(fullpath(sett))
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orbit_data = try
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orbit_data = load(filename(sett, :OrbitData), "OrbitData")
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orbit_data = load(filename(sett, :BlockDecomposition), "BlockDecomposition")
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@info "Loaded orbit data."
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orbit_data
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catch ex
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@ -133,8 +133,8 @@ function approximate_by_SOS(sett::Symmetrized,
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GroupRings.hasbasis(parent(orderunit)) ||
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throw("You need to define basis of Group Ring to compute orbit decomposition!")
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@info "Computing orbit and Wedderburn decomposition..."
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orbit_data = OrbitData(parent(orderunit), sett.autS)
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save(filename(sett, :OrbitData), "OrbitData", orbit_data)
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orbit_data = BlockDecomposition(parent(orderunit), sett.autS)
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save(filename(sett, :BlockDecomposition), "BlockDecomposition", orbit_data)
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orbit_data
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end
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@ -16,7 +16,7 @@ import AbstractAlgebra: Group, NCRing
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include("laplacians.jl")
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include("RGprojections.jl")
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include("orbitdata.jl")
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include("blockdecomposition.jl")
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include("sos_sdps.jl")
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include("checksolution.jl")
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@ -1,17 +1,17 @@
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###############################################################################
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#
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# OrbitData
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# BlockDecomposition
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#
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###############################################################################
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struct OrbitData{T<:AbstractArray{Float64, 2}, GEl<:GroupElem, P<:Generic.Perm}
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struct BlockDecomposition{T<:AbstractArray{Float64, 2}, GEl<:GroupElem, P<:Generic.Perm}
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orbits::Vector{Vector{Int}}
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preps::Dict{GEl, P}
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Uπs::Vector{T}
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dims::Vector{Int}
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end
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function OrbitData(RG::GroupRing, autS::Group, verbose=true)
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function BlockDecomposition(RG::GroupRing, autS::Group, verbose=true)
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verbose && @info "Decomposing basis of RG into orbits of" autS
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@time orbs = orbit_decomposition(autS, RG.basis, RG.basis_dict)
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@assert sum(length(o) for o in orbs) == length(RG.basis)
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@ -38,17 +38,17 @@ function OrbitData(RG::GroupRing, autS::Group, verbose=true)
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end
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@assert dot(multiplicities, dimensions) == size(RG.pm,1)
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return OrbitData(orbs, preps, Uπs, dimensions)
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return BlockDecomposition(orbs, preps, Uπs, dimensions)
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end
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function decimate(od::OrbitData, verbose=true)
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function decimate(od::BlockDecomposition, verbose=true)
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nzros = [i for i in 1:length(od.Uπs) if !isempty(od.Uπs[i])]
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Us = sparsify!.(od.Uπs, eps(Float64) * 1e4, verbose = verbose)[nzros]
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#dimensions of the corresponding Uπs:
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dims = od.dims[nzros]
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return OrbitData(od.orbits, od.preps, Array{Float64}.(Us), dims)
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return BlockDecomposition(od.orbits, od.preps, Array{Float64}.(Us), dims)
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end
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function orthSVD(M::AbstractMatrix{T}) where {T<:AbstractFloat}
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@ -104,7 +104,7 @@ end
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#
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###############################################################################
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function SOS_problem_primal(X::GroupRingElem, orderunit::GroupRingElem, data::OrbitData; upper_bound::Float64=Inf)
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function SOS_problem_primal(X::GroupRingElem, orderunit::GroupRingElem, data::BlockDecomposition; upper_bound::Float64=Inf)
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Ns = size.(data.Uπs, 2)
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m = JuMP.Model();
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@ -137,7 +137,7 @@ end
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function addconstraints!(m::JuMP.Model,
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P::Vector{Matrix{JuMP.VariableRef}},
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X::GroupRingElem, orderunit::GroupRingElem, data::OrbitData)
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X::GroupRingElem, orderunit::GroupRingElem, data::BlockDecomposition)
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orderunit_orb = orbit_spvector(orderunit.coeffs, data.orbits)
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X_orb = orbit_spvector(X.coeffs, data.orbits)
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@ -163,7 +163,7 @@ function addconstraints!(m::JuMP.Model,
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return m
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end
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function reconstruct(Ps::Vector{Matrix{F}}, data::OrbitData) where F
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function reconstruct(Ps::Vector{Matrix{F}}, data::BlockDecomposition) where F
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return reconstruct(Ps, data.preps, data.Uπs, data.dims)
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end
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@ -123,7 +123,7 @@ end
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S = PropertyT.generating_set(M)
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Δ = PropertyT.Laplacian(S, halfradius)
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RG = parent(Δ)
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orbit_data = PropertyT.OrbitData(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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orbit_data = PropertyT.BlockDecomposition(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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orbit_data = PropertyT.decimate(orbit_data);
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@testset "Sq₃ is SOS" begin
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@ -170,7 +170,7 @@ end
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S = PropertyT.generating_set(M)
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Δ = PropertyT.Laplacian(S, halfradius)
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RG = parent(Δ)
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orbit_data = PropertyT.OrbitData(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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orbit_data = PropertyT.BlockDecomposition(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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orbit_data = PropertyT.decimate(orbit_data);
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@testset "Sq₄ is SOS" begin
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@ -228,7 +228,7 @@ end
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# S = PropertyT.generating_set(M)
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# Δ = PropertyT.Laplacian(S, halfradius)
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# RG = parent(Δ)
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# orbit_data = PropertyT.OrbitData(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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# orbit_data = PropertyT.BlockDecomposition(RG, WreathProduct(SymmetricGroup(2), SymmetricGroup(N)))
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# orbit_data = PropertyT.decimate(orbit_data);
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#
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# @time elt = PropertyT.Adj(RG) + 100PropertyT.Op(RG)
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