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 long-standing issue holding back quantum computing, its high propensity for errors, may finally be in the past.