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.

S. W. Ellacott, Computation of Faber Series With Application to Numerical Polynomial Approximation in the Complex Plane, Mathematics of Computation, Vol. 40, No. 162 ...

Matrix Functions and Their Approximations Publication Trend The graph below shows the total number of publications each year in Matrix Functions and Their Approximations.

This journal, begun in 1943 as Mathematical Tables and Other Aids to Computation, publishes original articles on all aspects of numerical mathematics, book reviews, mathematical tables, and technical ...

First, they demonstrated an error-resistant implementation of universal quantum gates, the essential building blocks of quantum computation.