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 Spectral approximations on the triangle by orthogonal polynomials are studied in this paper. Optimal error ...

The quantum computing revolution draws ever nearer, but the need for a computer that makes correctable errors continues to hold it back. Subscribe to our newsletter for the latest sci-tech news ...

Quantum computers, systems that perform computations leveraging quantum mechanical effects, could outperform classical computers in some optimization and information processing tasks. As these systems ...