The ATA algorithm provides a novel approximation framework for analytic functions that cannot be expressed in closed-form via elementary or algebraic functions. It introduces a hybrid approximation ...
Abstract: Low-rank matrix approximations are critical in large-scale data analysis, but classical methods like SVD and rank-revealing QR become computationally impractical for massive datasets. CUR ...
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