sparse-linear-algebra
https://github.com/ocramz/sparse-linear-algebra
Haskell
Numerical computation in native Haskell
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- Issues
- IO of matrix and vector data
- GKL bidiagonalization
- Parallelism
- Generalize inner products, matrix-vector actions and matrix-matrix products to category composition
- QR factorization for the accelerate backend
- Finer-grained typeclass hierarchy
- Use `logging-effect` for structured logging
- LU factorization for the accelerate backend
- Eigenvalue algorithms : Add Implicitly shifted QR eigenvalue method
- Add `accelerate` support
- Docs
- Haskell not yet supported