kalmar/PropertyT.jl
1
0
Fork 0
mirror of https://github.com/kalmarek/PropertyT.jl.git synced 2024-11-14 14:15:28 +01:00
Code Issues Releases Wiki Activity

cleanup orbitdata

Browse Source
This commit is contained in:
kalmarek 2020-10-17 02:13:05 +02:00
parent eeecc35232
commit 984161c91a
No known key found for this signature in database
GPG Key ID: 8BF1A3855328FC15
1 changed files with 21 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

44
src/orbitdata.jl
View File

@ -41,21 +41,20 @@ function OrbitData(RG::GroupRing, autS::Group, verbose=true)
return OrbitData(orbs, preps, Uπs, dimensions)
end
function decimate(od::OrbitData)
nzros = [i for i in 1:length(od.Uπs) if size(od.Uπs[i],2) !=0]
function decimate(od::OrbitData, verbose=true)
nzros = [i for i in 1:length(od.Uπs) if !isempty(od.Uπs[i])]
Us = map(x -> PropertyT.sparsify!(x, eps(Float64)*1e3, verbose=true), od.Uπs[nzros])
#dimensions of the corresponding πs:
Us = sparsify!.(od.Uπs, eps(Float64) * 1e4, verbose = verbose)[nzros]
#dimensions of the corresponding Uπs:
dims = od.dims[nzros]
return OrbitData(od.orbits, od.preps, Array{Float64}.(Us), dims);
return OrbitData(od.orbits, od.preps, Array{Float64}.(Us), dims)
end
function orthSVD(M::AbstractMatrix{T}) where {T<:AbstractFloat}
M = Matrix(M)
fact = svd(M)
M_rank = sum(fact.S .> maximum(size(M))*eps(T))
return fact.U[:,1:M_rank]
fact = svd(convert(Matrix{T}, M))
M_rank = sum(fact.S .> maximum(size(M)) * eps(T))
return fact.U[:, 1:M_rank]
end
orbit_decomposition(
@ -94,26 +93,25 @@ end
dens(M::SparseMatrixCSC) = nnz(M)/length(M)
dens(M::AbstractArray) = count(!iszero, M)/length(M)
function sparsify!(M::SparseMatrixCSC{Tv,Ti}, eps=eps(Tv); verbose=false) where {Tv,Ti}
function sparsify!(M::SparseMatrixCSC{Tv,Ti}, tol=eps(Tv); verbose=false) where {Tv,Ti}
densM = dens(M)
for i in eachindex(M.nzval)
if abs(M.nzval[i]) < eps
M.nzval[i] = zero(Tv)
end
end
dropzeros!(M)
droptol!(M, tol)
if verbose
@info("Sparsified density:", rpad(densM, 20), " → ", rpad(dens(M), 20), " ($(nnz(M)) non-zeros)")
end
verbose && @info(
"Sparsified density:",
rpad(densM, 20),
" → ",
rpad(dens(M), 20),
" ($(nnz(M)) non-zeros)"
)
return M
end
function sparsify!(M::AbstractArray{T}, eps=eps(T); verbose=false) where T
function sparsify!(M::AbstractArray{T}, tol=eps(T); verbose=false) where T
densM = dens(M)
clamp_small!(M, eps)
clamp_small!(M, tol)
if verbose
@info("Sparsifying $(size(M))-matrix... \n $(rpad(densM, 20)) → $(rpad(dens(M),20))), ($(count(!iszero, M)) non-zeros)")
@ -122,9 +120,9 @@ function sparsify!(M::AbstractArray{T}, eps=eps(T); verbose=false) where T
return sparse(M)
end
function clamp_small!(M::AbstractArray{T}, eps=eps(T)) where T
function clamp_small!(M::AbstractArray{T}, tol=eps(T)) where T
for n in eachindex(M)
if abs(M[n]) < eps
if abs(M[n]) < tol
M[n] = zero(T)
end
end