Derivative-Free and Blackbox Optimization

Warren Hare

ISBN 10: 3032009057 / ISBN 13: 9783032009050

Published by Springer Jul 2026, 2026

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Flexible usage suitable for undergraduate, graduate, mathematics, computer science, engineering, or mixed classes15 end-of-chapter projects are provided, allowing advanced exploration of desired topics Includes numerous exercises throughout to test knowledge and advance understandingSpringer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 452 pp. Englisch.

Seller Inventory # 9783032009050

Bibliographic Details

• Title: Derivative-Free and Blackbox Optimization
• Publisher: Springer Jul 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 3032009057
• ISBN 13: 9783032009050
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 241W x 160H x 30D millimeters 241 millimeters width by 160 millimeters height by 30 millimeters depth
• Weight: 838 grams

About this title

Synopsis

The second edition of Derivative-Free and Blackbox Optimization offers a comprehensive introduction to the field of optimization when derivatives are unavailable, unreliable, or impractical. Whether you’re a student, instructor, or self-learner, this book is designed to guide you through both the foundations and advanced techniques of derivative-free and blackbox optimization. This new edition features significantly expanded exercises, updated and intuitive notation, over 30 new figures, and a wide range of pedagogical enhancements aimed at making complex concepts accessible and engaging. The book is structured into five parts. Part 1 established foundational principles, including an expanded chapter on proper benchmarking. Parts 2, 3, and 4, take an in-depth look at heuristics, direct search, and model based approaches (respectively). Part 5 extends these approaches to specialised settings. Finally, a new appendix contributed by Sébastien Le Digabel, details several real-world applications of blackbox optimization, and links to software for each application. Whether used in the classroom or for independent exploration, this book is a powerful resource for understanding and applying optimization methods – no gradients required. 

About the Author

 

Dr. Charles Audet is a Professor of Mathematics at the École Polytechnique de Montréal. His research interests include the analysis and development of algorithms for blackbox nonsmooth optimization, and structured global optimization. He obtained a Ph.D. degree in applied mathematics from the École Polytechnique de Montréal, and worked as a postdoctoral researcher at Rice University.

Dr. Warren Hare is a Professor of Mathematics at the University of British Columbia, Okanagan Campus.  His research interests include numerical analysis and algorithm design, particularly for derivative-free optimisation.  He obtained his Ph.D. in optimization from Simon Fraser University and worked as postdoctoral researcher at the Instituto de Mathemática Pura e Applicada and McMaster University.