<ul><li>Partitioning a matrix into blocks can help in multiplying it by its transpose efficiently.</li><li>By exploiting symmetry, the calculation time for M multiplied by its transpose can be reduced by up to 2/3.</li><li>Researchers have devised the RXTX algorithm that can compute M multiplied by its transpose with a 5% time-saving compared to multiplying arbitrary matrices.</li><li>The algorithm was developed by combining Machine Learning-based search methods with Combinatorial Optimization.</li></ul>

Multiplying a matrix by its transpose

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