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Convex Analysis for Optimization: A Unified Approach (Graduate Texts in Operations Research) - Tapa dura
Sinopsis
This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization.
The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use."The author deals with the delicate subjects in a precise yet light-minded spirit... For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization...perfectly suited for classroom teaching." Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota
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Jan Brinkhuis is an Associate Professor of Mathematical Methods and Techniques at the Econometric Institute of Erasmus University Rotterdam, specialized in the theory and application of optimization theory and game theory.
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This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization.
The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use."The author deals with the delicate subjects in a precise yet light-minded spirit... For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization.... perfectly suited for classroom teaching." Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota
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Convex Analysis for Optimization
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Springer International Publishing, 2020
ISBN 10: 3030418030
ISBN 13: 9783030418038
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a unified novel three-step method for all constructions, formulas and proofs of the important classic notions of convexityIncludes numerous exercises and illustrations to stimulate learning by doing and seeing. Nº de ref. del artículo: 369480257
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Convex Analysis for Optimization (Graduate Texts in Operations Research)
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Convex Analysis for Optimization
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Springer International Publishing Mai 2020, 2020
ISBN 10: 3030418030
ISBN 13: 9783030418038
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization.The book introduces a systematic three-step method for doing everything, which can be summarized as 'conify, work, deconify'. It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use.'The author deals with the delicate subjects in a precise yet light-minded spirit. For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization.perfectly suited for classroom teaching.' Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota 288 pp. Englisch. Nº de ref. del artículo: 9783030418038
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Convex Analysis for Optimization (Graduate Texts in Operations Research)
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Convex Analysis for Optimization : A Unified Approach
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030418030
ISBN 13: 9783030418038
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization.The book introduces a systematic three-step method for doing everything, which can be summarized as 'conify, work, deconify'. It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use.'The author deals with the delicate subjects in a precise yet light-minded spirit. For experts in the field, this book not only offers a unifying view, but also opens a door to new discoveries in convexity and optimization.perfectly suited for classroom teaching.' Shuzhong Zhang, Professor of Industrial and Systems Engineering, University of Minnesota. Nº de ref. del artículo: 9783030418038
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Convex Analysis for Optimization (Graduate Texts in Operations Research)
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Convex Analysis for Optimization
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Springer International Publishing, Springer International Publishing Mai 2020, 2020
ISBN 10: 3030418030
ISBN 13: 9783030418038
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook offers graduate students a concise introduction to the classic notions of convex optimization. Written in a highly accessible style and including numerous examples and illustrations, it presents everything readers need to know about convexity and convex optimization.The book introduces a systematic three-step method for doing everything, which can be summarized as 'conify, work, deconify'. It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method. Lastly, it includes chapters on alternative formulations of optimality conditions and on illustrations of their use.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. Nº de ref. del artículo: 9783030418038
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Convex Analysis for Optimization (Graduate Texts in Operations Research)
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Convex Analysis for Optimization: A Unified Approach
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Hardcover. Condición: Brand New. 284 pages. 9.25x6.10x0.83 inches. In Stock. Nº de ref. del artículo: x-3030418030
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Convex Analysis for Optimization (Graduate Texts in Operations Research)
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Hardcover. Condición: New. New. book. Nº de ref. del artículo: ERICA77330304180306
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