largest-eigenval
OfficialOutperform standard eigensolvers for small matrices.
Authorletta-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill guides optimizing numerical linear algebra workloads, focusing on computing the largest eigenvalue for small dense matrices faster than conventional library approaches.
Core Features & Use Cases
- Profile-driven decisions to avoid Python overhead for small matrices
- Approaches including Cython+LAPACK layouts and alternative algorithms
- Validation and correctness checks against reference implementations
Quick Start
Implement a tiny, fast eigenvalue path using Cython+LAPACK and compare with numpy.linalg.eig on a small matrix.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: largest-eigenval Download link: https://github.com/letta-ai/skills/archive/main.zip#largest-eigenval Please download this .zip file, extract it, and install it in the .claude/skills/ directory.