SciML/SparseWithDenseRowColMatrices.jl

View on GitHub

Sparse plus low-rank dense rows/cols matrices, solved by Sherman-Morrison-Woodbury over PureKLU.jl with symbolic-reuse caching and a LinearSolve.jl interface

Stars: 0
Forks: 1
Open beginner issues: 0
Indexed issues: 13
Avg merge: 14m
Merged PRs (30d): 6

Dominant language: Julia
License: MIT
Last GitHub push: Sep 17, 2026
Latest indexed: Sep 19, 2026
Contributing guide: Contributing guide
Code of conduct: Code of conduct
Beginner labels: No beginner labels indexed

Beginner friendly Everything

Open All

13 issues indexed so far

Core tests broken on master: src/qr.jl calls removed `SparseColumnPivotedQR.csr_qr` (renamed to `scpqr` in v2.x) Open

Difficulty 4/5 3-5 days Newbie friendliness 52/100

SciML/SparseWithDenseRowColMatrices.jl#28 · Opened Jun 14, 2026
QA: Aqua/JET findings marked @test_broken pending fix Open

Difficulty 2/5 1-3 hours Newbie friendliness 65/100

SciML/SparseWithDenseRowColMatrices.jl#25 · 1 comment · Opened Jun 10, 2026
Tracking: remove unregistered-dep workarounds once PureKLU + SparseColumnPivotedQR are registered; revisit Aqua tmax Open

Difficulty 4/5 3-5 days Newbie friendliness 38/100

SciML/SparseWithDenseRowColMatrices.jl#17 · Opened May 31, 2026
CI/infra hardening: coverage upload, non-blocking nightly, CompatHelper, and a tracked benchmark suite Open

Difficulty 4/5 3-5 days Newbie friendliness 48/100

SciML/SparseWithDenseRowColMatrices.jl#16 · Opened May 31, 2026
One-shot structured `lstsq` over-allocates — post-hoc check matvecs and pivoted-QR Q materialization dominate Open

Difficulty 4/5 3-5 days Newbie friendliness 55/100

SciML/SparseWithDenseRowColMatrices.jl#15 · Opened May 31, 2026
Test coverage gaps: structured adjoint/matrix-RHS matvec, cached-LS value updates, and lstsq generic-eltype / guard boundary are untested Open

Difficulty 4/5 3-5 days Newbie friendliness 52/100

SciML/SparseWithDenseRowColMatrices.jl#14 · Opened May 31, 2026
`lstsq(alg=:iterative)` blanket-rejects non-BLAS eltypes, yet the iterative engine works in BigFloat Open

Difficulty 3/5 1-2 days Newbie friendliness 72/100

SciML/SparseWithDenseRowColMatrices.jl#13 · Opened May 31, 2026
Adjoint/transpose matvec allocates per call (forward path is alloc-free) — hurts the `:iterative` lstsq loop Open

Difficulty 4/5 3-5 days Newbie friendliness 48/100

SciML/SparseWithDenseRowColMatrices.jl#12 · Opened May 31, 2026
Precompile workload covers only the LU path — none of the QR / lstsq / adjoint surface is precompiled Open

Difficulty 2/5 1-3 hours Newbie friendliness 75/100

SciML/SparseWithDenseRowColMatrices.jl#11 · Opened May 31, 2026
Add a LinearSolve algorithm that wraps `lstsq` — the LinearSolve extension cannot solve rank-deficient/inconsistent A Open

Difficulty 4/5 3-5 days Newbie friendliness 55/100

SciML/SparseWithDenseRowColMatrices.jl#10 · Opened May 31, 2026
Matrix-RHS adjoint/transpose matvec falls through to the generic dense fallback — ~3000x slowdown Open

Difficulty 3/5 1-2 days Newbie friendliness 78/100

SciML/SparseWithDenseRowColMatrices.jl#8 · Opened May 31, 2026
`SparseWithDenseRowColLeastSquares` has no fixed-pattern `refactor!` — the README's headline Newton-loop claim is currently false Open

Difficulty 5/5 Over a week Newbie friendliness 35/100

SciML/SparseWithDenseRowColMatrices.jl#9 · Opened May 31, 2026
QR `refactor!` rebuilds the bordered matrix every call (~114 KB) instead of updating values in place — fix the advertised hot path Open

Difficulty 4/5 3-5 days Newbie friendliness 55/100

SciML/SparseWithDenseRowColMatrices.jl#7 · Opened May 31, 2026

SciML/SparseWithDenseRowColMatrices.jl

Get new issues in your inbox