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.

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 ...

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 ...

Matrix functions, such as the exponential, square root and cosine, play an indispensable role in various fields including quantum mechanics, control theory and numerical solution of differential ...