Abstract: We investigate the singular value decomposition (SVD) of a rectangular matrix $\boldsymbol{\mathit{A}}(z)$ of functions that are analytic on an annulus that includes at least the unit circle ...
Abstract: Low-rank matrix decomposition is effective for sparse recovery. However, the conventions are limited in accuracy for high-resolution synthetic aperture radar (SAR) imagery due to the ...
High-performance Python library for text factorization using compressed suffix trees. The library provides efficient algorithms for finding non-overlapping factors in text data, with both in-memory ...
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