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.

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 ...

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 ...