Packed Storage for symmetric, Hermite, and triangular matrices
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 30/100
Research direction
Start by reading the LAPACK packed-storage reference linked in the issue, then inspect the existing tridiagonal support in the lax crate and how it is exposed through ndarray-linalg. Compare the requested symmetric, Hermitian, and triangular formats with the work in #196 and related issue #74. Done means packed and band storage formats are supported in lax and exposed through ndarray-linalg.
Written by the indexing model from the issue text.
Description
Related to #74
https://www.netlib.org/lapack/lug/node123.html

Tridiagonal matrix support has been done in #196, and other formats, i.e. packed and band storage formats should be supported. It should be in lax crate, and exposed into ndarray-linalg.
- Dominant language
- Rust
- Stars
- 452
- Forks
- 95
- PR merge metrics
- No merged PRs in 30d
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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