SuiteSparseGraphBLAS.jl
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JuliaSparse
Sparse, General Linear Algebra for Graphs!
This pull request changes the compat entry for the `KLU` package from `0.4` to `0.4, 0.6`. This keeps the compat entries for earlier versions. Note: I have not tested your...
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This pull request changes the compat entry for the `KLU` package from `0.4` to `0.4, 0.5`. This keeps the compat entries for earlier versions. Note: I have not tested your...
Hi there! Thanks for maintaining such a great library! I'm wondering, would it be possible to add support for the [Binsparse](https://github.com/GraphBLAS/binsparse-specification) file format? I think there's some discussion of adding...
I expect the following script should use 16 threads: ```julia using SparseArrays using SuiteSparseGraphBLAS using Arpack gbset(:nthreads, 16) A = GBMatrix(sprand(100000, 100000, 0.001)) H = A' + A @info "matrix...
```julia using SparseArrays, SuiteSparseGraphBLAS, KrylovKit A = sprand(Float64, 100, 100, 0.05) M = GBMatrix(A' + A) eigsolve(M, size(M, 1), 3, :SR, ishermitian=true, maxiter=1000) ``` The error is ```julia ERROR: UndefVarError:...
``` ** On entry to ZHEEVR parameter number 15 had an illegal value sdp_quantum_relative_entropy1_fullrank: Error During Test at /Users/eph/Convex.jl/src/problem_depot/problems/sdp.jl:1492 Test threw exception Expression: ≈(p.optval, evaluate(quantum_relative_entropy(A, B)), atol = atol, rtol...
I was just playing around with the package, and it seems there are some changes introduced in Julia 1.10 that induce a stack overflow. Everything is fine on 1.9 (so...
"A.mtx" is a simple coordinate matrix, loaded correctly by `MatrixMarket.mmread()`. ```julia using SuiteSparseGraphBLAS SuiteSparseGraphBLAS.mmread("A.mtx") ``` result: ``` ERROR: LoadError: MethodError: no method matching GBMatrix(::Vector{Int64}, ::Vector{Int64}, ::Vector{Int64}; nrows=7, ncols=7) Closest candidates...
```julia function zero_out(mat, bus_index) mat[bus_index, :] .= 0 mat[:, bus_index] .= 0 mat[bus_index, bus_index] = -1 return mat end ``` For the above code, GBMatrix is > 13.5 times slower...
