High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

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are 'general', i.e. the matrix has no particular symmetries or other structure. In this case we may appeal to the fact that almost all (in the Lebesgue sense) transition matrices have distinct ...