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RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication
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RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication
Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late 1960s, which showed that general matrix products could be computed with fewer multiplications than previously believed, various strategies have emerged. These include gradient-based methods, heuristic techniques, group-theoretic frameworks, graph-ba…
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