Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
Kövari and Pommerenke [19], and Elliott [8], have shown that the truncated Faber series gives a polynomial approximation which (for practical values of the degree of the polynomial) is very close to ...
It is of fundamental interest in statistics to test the significance of a set of covariates. For example, in genomewide association studies, a joint null hypothesis of no genetic effect is tested for ...
The evaluation of mathematical functions in hardware is a critical aspect of modern digital system design, particularly in domains such as image analysis, signal processing and embedded computing.
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