Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is wr

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.

A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws

Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the