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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems - Springer Optimization and Its Applications 2021 edition
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems - Springer Optimization and Its Applications
The book is intended for beginners who wish to achieve a broad overview of optimization methods and also for more experienced researchers as well as researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, who will benefit from access to a quick reference to key topics and methods.
388 pages, 25 Tables, color; 90 Illustrations, color; 23 Illustrations, black and white; X, 388 p. 1
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 28 de junio de 2022 |
| ISBN13 | 9783030665173 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 388 |
| Dimensiones | 150 × 220 × 10 mm · 557 g |
| Lengua | Alemán |
| Editor | Pardalos, Panos M. |
| Editor | Rasskazova, Varvara |
| Editor | Vrahatis, Michael N. |