Sparse arithmetic optimizes calculations where most values are zero, storing only non-zero entries to save memory and speed up processing. It’s used in scientific simulations, machine learning, and graph analytics to handle large, sparse datasets efficiently. Data scientists, engineers, and researchers benefit from faster performance and reduced computational costs.
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