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Introduction Unconstrained Optimization by Mishra Shashi (20 results)
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Introduction to Unconstrained Optimization With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Introduction to Unconstrained Optimization with R
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hardcover. Condition: New.
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Introduction to Unconstrained Optimization with R
Published by Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811508933 ISBN 13: 9789811508936
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2019 ed.
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Introduction to Unconstrained Optimization With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 304 pages. 9.25x6.25x1.00 inches. In Stock.
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Condition: New. pp. XVI, 304 765 illus., 50 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Condition: New. Discusses all major aspects of unconstrained optimization with RPresents important, basic methods with their algorithms, analysis, and proofsIncludes manually worked examples, R scripts, and real-world applicationsProvides exercises .
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Introduction to Unconstrained Optimization with R
Published by Springer Nature Singapore, Springer Nature Singapore Jan 2020, 2020
ISBN 10: 9811508933 ISBN 13: 9789811508936
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This book discusses unconstrained optimization with R¿a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch.
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Introduction to Unconstrained Optimization with R
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811508933 ISBN 13: 9789811508936
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses unconstrained optimization with R-a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.
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Buch. Condition: Neu. Introduction to Unconstrained Optimization with R | Shashi Kant Mishra (u. a.) | Buch | xvi | Englisch | 2020 | Springer Singapore | EAN 9789811508936 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Introduction to Unconstrained Optimization with R
Published by Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811508933 ISBN 13: 9789811508936
Language: English
Hardback. Condition: New. 2019 ed. This book discusses unconstrained optimization with R-a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.
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Condition: New. Print on Demand pp. XVI, 304 765 illus., 50 illus. in color.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND pp. XVI, 304 765 illus., 50 illus. in color.
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Condition: New. PRINT ON DEMAND.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses all major aspects of unconstrained optimization with RPresents important, basic methods with their algorithms, analysis, and proofsIncludes manually worked examples, R scripts, and real-world applicationsProvides exercises .
