Articles liés à Mathematical Theory of Optimization
Synopsis
Optimization is of central importance in all sciences. Nature inherently seeks optimal solutions. For example, light travels through the "shortest" path and the folded state of a protein corresponds to the structure with the "minimum" potential energy. In combinatorial optimization, there are numerous computationally hard problems arising in real world applications, such as floorplanning in VLSI designs and Steiner trees in communication networks. For these problems, the exact optimal solution is not currently real-time computable. One usually computes an approximate solution with various kinds of heuristics. Recently, many approaches have been developed that link the discrete space of combinatorial optimization to the continuous space of nonlinear optimization through geometric, analytic, and algebraic techniques. Many researchers have found that such approaches lead to very fast and efficient heuristics for solving large problems. Although almost all such heuristics work well in practice there is no solid theoretical analysis, except Karmakar's algorithm for linear programming. With this situation in mind, we decided to teach a seminar on nonlinear optimization with emphasis on its mathematical foundations. This book is the result of that seminar. During the last decades many textbooks and monographs in nonlinear optimization have been published. Why should we write this new one? What is the difference of this book from the others? The motivation for writing this book originated from our efforts to select a textbook for a graduate seminar with focus on the mathematical foundations of optimization.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2001
- ISBN 10 1402000154
- ISBN 13 9781402000157
- ReliureRelié
- Langueanglais
- Nombre de pages273
- Coordonnées du fabricantnon disponible
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Mathematical Theory of Optimization
Edité par
Springer US, 2001
ISBN 10 : 1402000154
ISBN 13 : 9781402000157
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 292 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 2540349/12
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Mathematical Theory of Optimization (Nonconvex Optimization and Its Applications, 56)
Edité par
Springer, 2001
ISBN 10 : 1402000154
ISBN 13 : 9781402000157
Ancien ou d'occasion
Couverture rigide
Vendeur : My Dead Aunt's Books, Hyattsville, MD, Etats-Unis
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hardcover. Etat : As New. Unmarked hardcover. Pristine condition. N° de réf. du vendeur 65365K
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Mathematical Theory of Optimization
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Springer US Okt 2001, 2001
ISBN 10 : 1402000154
ISBN 13 : 9781402000157
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems. 292 pp. Englisch. N° de réf. du vendeur 9781402000157
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Mathematical Theory of Optimization (Nonconvex Optimization and Its Applications, 56)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9781402000157_new
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Mathematical Theory of Optimization
Edité par
Springer US, Springer US Okt 2001, 2001
ISBN 10 : 1402000154
ISBN 13 : 9781402000157
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -Optimization is of central importance in all sciences. Nature inherently seeks optimal solutions. For example, light travels through the 'shortest' path and the folded state of a protein corresponds to the structure with the 'minimum' potential energy. In combinatorial optimization, there are numerous computationally hard problems arising in real world applications, such as floorplanning in VLSI designs and Steiner trees in communication networks. For these problems, the exact optimal solution is not currently real-time computable. One usually computes an approximate solution with various kinds of heuristics. Recently, many approaches have been developed that link the discrete space of combinatorial optimization to the continuous space of nonlinear optimization through geometric, analytic, and algebraic techniques. Many researchers have found that such approaches lead to very fast and efficient heuristics for solving large problems. Although almost all such heuristics work well in practice there is no solid theoretical analysis, except Karmakar's algorithm for linear programming. With this situation in mind, we decided to teach a seminar on nonlinear optimization with emphasis on its mathematical foundations. This book is the result of that seminar. During the last decades many textbooks and monographs in nonlinear optimization have been published. Why should we write this new one What is the difference of this book from the others The motivation for writing this book originated from our efforts to select a textbook for a graduate seminar with focus on the mathematical foundations of optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch. N° de réf. du vendeur 9781402000157
Quantité disponible : 2 disponible(s)
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Mathematical Theory of Optimization
Edité par
Springer US, Springer US, 2001
ISBN 10 : 1402000154
ISBN 13 : 9781402000157
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization is of central importance in all sciences. Nature inherently seeks optimal solutions. For example, light travels through the 'shortest' path and the folded state of a protein corresponds to the structure with the 'minimum' potential energy. In combinatorial optimization, there are numerous computationally hard problems arising in real world applications, such as floorplanning in VLSI designs and Steiner trees in communication networks. For these problems, the exact optimal solution is not currently real-time computable. One usually computes an approximate solution with various kinds of heuristics. Recently, many approaches have been developed that link the discrete space of combinatorial optimization to the continuous space of nonlinear optimization through geometric, analytic, and algebraic techniques. Many researchers have found that such approaches lead to very fast and efficient heuristics for solving large problems. Although almost all such heuristics work well in practice there is no solid theoretical analysis, except Karmakar's algorithm for linear programming. With this situation in mind, we decided to teach a seminar on nonlinear optimization with emphasis on its mathematical foundations. This book is the result of that seminar. During the last decades many textbooks and monographs in nonlinear optimization have been published. Why should we write this new one What is the difference of this book from the others The motivation for writing this book originated from our efforts to select a textbook for a graduate seminar with focus on the mathematical foundations of optimization. N° de réf. du vendeur 9781402000157
Quantité disponible : 1 disponible(s)
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Mathematical Theory of Optimization
Vendeur : moluna, Greven, Allemagne
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Mathematical Theory of Optimization
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Mathematical Theory of Optimization
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Mathematical Theory of Optimization
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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