RecursiveFactorization.jl is a package that collects various recursive matrix factorization algorithms.
RecursiveFactorization does not export any functions.
julia> using RecursiveFactorization
julia> A = rand(5, 5);
julia> RecursiveFactorization.lu(A); # out-of-place
julia> RecursiveFactorization.lu!(copy(A)); # in-place
julia> RecursiveFactorization.lu!(copy(A), Vector{Int}(undef, size(A, 2))); # in-place w/ pivoting vector
For small to medium sized matrices, it is beneficial to use RecursiveFactorization over OpenBLAS. The benchmark script is available in perf/lu.jl
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