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

Language: English

Published by Springer, 2021

3030665143 / 9783030665142

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

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783030665142

Title
Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Author
Varvara Rasskazova
Publisher
Springer
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

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.41US$ 35.41
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