Charles Audet: Derivative-Free and Blackbox Optimization, Gebunden
Derivative-Free and Blackbox Optimization
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- Verlag:
- Springer-Verlag GmbH, 10/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783032009050
- Artikelnummer:
- 12334615
- Umfang:
- 431 Seiten
- Sonstiges:
- XXIV, 431 p. 86 illus., 78 illus. in color.
- Nummer der Auflage:
- 25002
- Ausgabe:
- Second Edition 2025
- Erscheinungstermin:
- 9.10.2025
- Serie:
- Springer Series in Operations Research and Financial Engineering
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
