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 ...

This is a preview. Log in through your library . Abstract The paper is concerned with the characterization and computation of local best rational Chebyshev approximations to continuous complex-valued ...

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.

There’s a general consensus that we won’t be able to consistently perform sophisticated quantum calculations without the development of error-corrected quantum computing, which is unlikely to arrive ...

It is here assumed that errors in any one link of a distribution chain are distributed rectangularly, and that each such distribution can be regarded as discrete or quantized. It is also assumed that ...