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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems.
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
X, 388 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Optimization and Its Applications, 170. Sprache: Englisch.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems (Springer Optimization and Its Applications, 170)
Book 165 of 176: Springer Optimization and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 114.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems (Springer Optimization and Its Applications)
Book 165 of 176: Springer Optimization and Its ApplicationsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 114.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. Paperback. . . . . .
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsSeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2021. Hardcover. . . . . .
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, Springer International Publishing Jun 2021, 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030665178 ISBN 13: 9783030665173
Taschenbuch. Condition: Neu. 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.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Buch. Condition: Neu. 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.
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Hardcover. Condition: Brand New. 398 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Condition: New. 2021. Hardcover. . . . . . Books ship from the US and Ireland.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing Jun 2021, 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 400 pp. Englisch.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing Jun 2022, 2022
ISBN 10: 3030665178 ISBN 13: 9783030665173
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 400 pp. Englisch.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, 2022
ISBN 10: 3030665178 ISBN 13: 9783030665173
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginners will achieve an overview of optimization methodsResearchers will gain access to to a useful reference on key topicsMathematical rigour and heuristics approaches equip the reader with different viewpoints on the same problem.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030665143 ISBN 13: 9783030665142
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginners will achieve an overview of optimization methodsResearchers will gain access to to a useful reference on key topicsMathematical rigour and  heuristics approaches equip the reader with d.
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Buch. Condition: Neu. Black Box Optimization, Machine Learning, and No-Free Lunch Theorems | Panos M. Pardalos (u. a.) | Buch | x | Englisch | 2021 | Springer | EAN 9783030665142 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. Black Box Optimization, Machine Learning, and No-Free Lunch Theorems | Panos M. Pardalos (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9783030665173 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Book 165 of 176: Springer Optimization and Its ApplicationsLanguage: English
Published by Springer International Publishing, Springer Nature Switzerland Jun 2022, 2022
ISBN 10: 3030665178 ISBN 13: 9783030665173
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
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