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Foundations of Mathematical Optimization: Convex Analysis without Linearity: 388 (Mathematics and Its Applications) - Tapa blanda
Sinopsis
Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization.
Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization.
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Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization.
Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization.
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Foundations of Mathematical Optimization
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Springer Netherlands, 2010
ISBN 10: 9048148006
ISBN 13: 9789048148004
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Tapa blanda
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. Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. M. Nº de ref. del artículo: 5818662
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Foundations of Mathematical Optimization: Convex Analysis without Linearity (Mathematics and Its Applications)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Foundations of Mathematical Optimization
Publicado por
Springer Netherlands Dez 2010, 2010
ISBN 10: 9048148006
ISBN 13: 9789048148004
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization. 600 pp. Englisch. Nº de ref. del artículo: 9789048148004
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Foundations of Mathematical Optimization : Convex Analysis without Linearity
Publicado por
Springer Netherlands, Springer Netherlands, 2010
ISBN 10: 9048148006
ISBN 13: 9789048148004
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization. Nº de ref. del artículo: 9789048148004
Cantidad disponible: 1 disponibles
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Foundations of Mathematical Optimization
Publicado por
Springer Netherlands, Springer Netherlands Dez 2010, 2010
ISBN 10: 9048148006
ISBN 13: 9789048148004
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 600 pp. Englisch. Nº de ref. del artículo: 9789048148004
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Foundations of Mathematical Optimization: Convex Analysis without Linearity (Mathematics and Its Applications)
Librería: California Books, Miami, FL, Estados Unidos de America
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Foundations of Mathematical Optimization: Convex Analysis without Linearity (Mathematics and Its Applications)
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Condición: New. Nº de ref. del artículo: ABLIING23Apr0316110336343
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Foundations of Mathematical Optimization
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Condición: New. pp. 600. Nº de ref. del artículo: 263093180
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Foundations of Mathematical Optimization
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Condición: New. Print on Demand pp. 600 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 5803363
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Foundations of Mathematical Optimization (Mathematics and Its Applications)
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Paperback. Condición: Brand New. 596 pages. 9.21x6.14x1.36 inches. In Stock. Nº de ref. del artículo: x-9048148006
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