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Derivative-free and blackbox optimization. (English) Zbl 1391.90001
Springer Series in Operations Research and Financial Engineering. Cham: Springer (ISBN 978-3-319-68912-8/hbk; 978-3-319-68913-5/ebook). xviii, 300 p. (2017).
The authors present a comprehensive textbook being an introduction to blackbox and derivative-free optimization. The book consists of five parts, in which the following issues are discussed: introductory topics and notation, heuristic methods, direct search methods, model-based methods and extensions. Each chapter is followed by a number of exercises or projects. The book is for sure a necessary position for students of mathematics, IT or engineering that would like to explore the subject of blackbox and derivative-free optimization. Also the researchers in the area of optimization could treat it as an introductory reading. Finally, the book would be also a good choice for practitionners dealing with such kind of problems.

90-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to operations research and mathematical programming
90C56 Derivative-free methods and methods using generalized derivatives
90C59 Approximation methods and heuristics in mathematical programming
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