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 describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, effici

This is an collection of some easily-formulated problems that remain open in the study of the geometry and analysis of Banach spaces. Assuming the reader has a

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