NIKX-Tech/numx

linalg: Jacobi eigenvalues for symmetric matrices

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#83 opened on Jul 11, 2026

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enhancementgood first issue

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Description

Add numx_mat_eigenvalues_sym (or similar name) to the linalg module: the Jacobi eigenvalue algorithm for real symmetric matrices, bounded by NUMX_MAX_MAT_ROWS.

Follow CONTRIBUTING.md exactly: full Doxygen header, NULL-checks, numx_status_t return, all four deliverables (header, impl, test, docs page). Test against known eigenvalue examples and verify the trace/determinant invariants hold against the computed eigenvalues.

Contributor guide

Research direction
Study the Jacobi eigenvalue algorithm for real symmetric matrices, then implement it with the required deliverables (header, impl, test, docs). Follow the existing linalg module patterns and CONTRIBUTING.md.
Tech stack
c
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
CGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60