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

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

This book focuses on recent research in modern optimization and its implications in control and data analysis. This book is a collection of papers from the conf

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

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a