We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Linear solves of sparse systems defined using SparseArrays (where both matrix and vector are sparse) currently fail.
Minimal example: using SparseArrays; A = sprand(2,2,0.9); v = sparsevec([1;2],randn(2)); A \ v
using SparseArrays; A = sprand(2,2,0.9); v = sparsevec([1;2],randn(2)); A \ v
This produces: ERROR: MethodError: no method matching ldiv!(::SuiteSparse.UMFPACK.UmfpackLU{Float64,Int64}, ::SparseVector{Float64,Int64})
ERROR: MethodError: no method matching ldiv!(::SuiteSparse.UMFPACK.UmfpackLU{Float64,Int64}, ::SparseVector{Float64,Int64})
The text was updated successfully, but these errors were encountered:
Dup of JuliaLang/LinearAlgebra.jl#381
Sorry, something went wrong.
No branches or pull requests
Linear solves of sparse systems defined using SparseArrays (where both matrix and vector are sparse) currently fail.
Minimal example:
using SparseArrays; A = sprand(2,2,0.9); v = sparsevec([1;2],randn(2)); A \ v
This produces:
ERROR: MethodError: no method matching ldiv!(::SuiteSparse.UMFPACK.UmfpackLU{Float64,Int64}, ::SparseVector{Float64,Int64})
The text was updated successfully, but these errors were encountered: