A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable

Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analys

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical mo

Combinatorial data analysis (CDA) refers to a wide class of methods for the study of relevant data sets in which the arrangement of a collection of objects is a