This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applicat

This book deals with decision making in environments of significant data un certainty, with particular emphasis on operations and production management applicat

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real application

This book aims to demonstrate and detail the pervasive nature of Discrete Optimization. The handbook couples the difficult, critical-thinking aspects of mathema

This thesis presents efficient algorithms that give optimal or near-optimal solutions for problems with non-linear objective functions that arise in discrete, c