**Preface to "Computational Mathematics, Algorithms, and Data Processing"**

This Special Issue "Computational Mathematics, Algorithms, and Data Processing" of MDPI consists of original articles on new mathematical tools and numerical methods for computational problems. This Special Issue of MDPI is motivated by the recent profusion and success of large-scale numerical methods in a variety of applied problems and is focused specifically on ideas that are scalable to large scale problems and have the potential the significantly improve the current state of art practices. The topics covered include: numerical stability, interpolation, approximation, complexity, numerical linear algebra, differential equations (ordinary, partial), optimization, integral equations, systems of nonlinear equations, compression or distillation, and active learning. All articles include a discussion of theoretical guarantees or at least justifications for the methods.

> **Daniele Mortari, Yalchin Efendiev, Boris Hanin** *Editors*
