Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Language: English

Published by Springer, Palgrave Macmillan Jun 2021, 2021

3030665143 / 9783030665142

Series: Book 165 of 176 - Springer Optimization and Its Applications

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This item is printed on demand - Print on Demand Titel. Neuware -This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. 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. The coverage ranges from mathematically rigorous methods to heuristic and evolutionary approaches in an attempt to equip the reader with different viewpoints of the same problem.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch.

Seller Inventory # 9783030665142

Title
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Author
Panos M. Pardalos
Publisher
Springer, Palgrave Macmillan Jun 2021
Publication year
2021
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030665143
ISBN 13
9783030665142
Item weight
764 grams
Dimensions
241x160x27 mm
Series
Book 165 of 176: Springer Optimization and Its Applications

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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