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).
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skills use largest-eigenval