Abstract: Solving large linear systems efficiently is at the heart of many problems in high-performance computing. For dense matrices with a particular structure that results in low-rank off-diagonal ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
Abstract: The frequency line is an important basis for the correlation and identification of underwater targets. However, how to accurately extract frequency line information from the interference of ...
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