Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents
IgorCarron · x · 2026-09-11
Cornell professor Alex Townsend released OpenProblemsInNLA on GitHub: a collection of 200 precisely stated open problems in numerical linear algebra, explicitly framed as challenges for both humans and AI agents.
- Each problem includes references plus difficulty and importance ratings
- Spans 11 topic areas: linear systems and elimination, eigenvalues and inverse problems, randomized and low-rank approximation, tensor computations, matrix inequalities, nonnegative factorizations, and more
- Ships in Markdown, LaTeX, and PDF editions, with a RESOLVED.md tracker and contribution guidelines
Structuring open problems into a machine-readable, versioned catalog effectively creates a testbed for AI agents doing mathematical exploration.
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