largest-eigenval
Guidance for finding the largest eigenvalue of small dense matrices with performance optimization. This skill should be used when tasks involve computing eigenvalues (especially the dominant/largest eigenvalue), optimizing numerical linear algebra routines, or improving performance of numpy/scipy matrix operations for small matrices (typically 2-10 in size).
Installation and usage
Guidance for finding the largest eigenvalue of small dense matrices with performance optimization. This skill should be used when tasks involve computing eigenvalues (especially the dominant/largest eigenvalue), optimizing numerical linear algebra routines, or improving performance of numpy/scipy matrix operations for small matrices (typically 2-10 in size).
설치 후 터미널에서 다음 명령을 실행하여 이 스킬을 사용할 수 있습니다:
skills use largest-eigenval