Complexity numerical optimization (31 risultati)
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Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. The book has mild rubbing to both covers, a paper sticker fixed to the front endpage, and a black ink stamp on the half-title page, otherwise the book is in excellent condition with crisp, unmarked pages, a tight binding, and a strong, clean cover. The dustja…cket has rubbing and surface scratching to both covers and a paper sticker on the back cover, otherwise the dustjacket is in similarly excellent condition, intact and attractive.
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Hardcover. Condizione: Fine. Condizione sovraccoperta: Very Good. Signed. Signed and inscribed by the editor on the half title page. Inscribed to Professor S. Smale, Math Dept. City University of Hong Kong. No other markings in book. DJ with shelf wear to edges. Binding is tight. Very lightly read. Computational complexity, orig…inated from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. This volume is a collection of articles on recent complexity developments in numerical optimization. The topics covered include complexity of approximation algorithms, new polynomial time algorithms for convex quadratic minimization, interior point algorithms, complexity issues regarding test generation of NP-hard problems, complexity of scheduling problems, min-max, fractional combinatorial.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Springer, 2022
Serie: Emergence, Complexity and Computation, Libro 43 di 47. Libro 43 di 47 - Emergence, Complexity and Computation
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Lingua: Inglese
Editore: Springer, 2023
Serie: Emergence, Complexity and Computation, Libro 43 di 47. Libro 43 di 47 - Emergence, Complexity and Computation
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Serie: Emergence, Complexity and Computation, Libro 43 di 47. Libro 43 di 47 - Emergence, Complexity and Computation
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Condizione: New. Computational complexity, originating from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. This book deals with the themes of approximation and co…mplexity. Editor(s): Pardalos, Panos M. Series: Nonconvex Optimization and Its Applications. Num Pages: 595 pages, biography. BIC Classification: PBU; TGP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 33. Weight in Grams: 1017. . 2000. Hardback. . . . .
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have been developed rec…ently that link the discrete universe to the continuous universe through geomet ric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. As a result new ap proximate algorithms have been discovered and many new computational approaches have been developed. Similarly, for many continuous nonconvex optimization prob lems, new approximate algorithms have been developed based on semidefinite pro gramming and new randomization techniques. On the other hand, computational complexity, originating from the interactions between computer science and numeri cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable. The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions. A conference on Approximation and Complexity in Numerical Optimization: Con tinuous and Discrete Problems was held during February 28 to March 2, 1999 at the Center for Applied Optimization of the University of Florida.
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Condizione: New. There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have been developed recently that.
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Condizione: New. Computational complexity, originating from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. This book deals with the themes of approximation and co…mplexity. Editor(s): Pardalos, Panos M. Series: Nonconvex Optimization and Its Applications. Num Pages: 595 pages, biography. BIC Classification: PBU; TGP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 33. Weight in Grams: 1017. . 2000. Hardback. . . . . Books ship from the US and Ireland.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many app…roaches have been developed recently that.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have be…en developed recently that link the discrete universe to the continuous universe through geomet ric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. As a result new ap proximate algorithms have been discovered and many new computational approaches have been developed. Similarly, for many continuous nonconvex optimization prob lems, new approximate algorithms have been developed based on semidefinite pro gramming and new randomization techniques. On the other hand, computational complexity, originating from the interactions between computer science and numeri cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable. The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions. A conference on Approximation and Complexity in Numerical Optimization: Con tinuous and Discrete Problems was held during February 28 to March 2, 1999 at the Center for Applied Optimization of the University of Florida. 600 pp. Englisch.
Lingua: Inglese
Editore: Springer, 2023
Serie: Emergence, Complexity and Computation, Libro 43 di 47. Libro 43 di 47 - Emergence, Complexity and Computation
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -There has been much recent progress in approximation algorithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. In discrete (or combinatorial) optimization many approaches have been d…eveloped recently that link the discrete universe to the continuous universe through geomet ric, analytic, and algebraic techniques. Such techniques include global optimization formulations, semidefinite programming, and spectral theory. As a result new ap proximate algorithms have been discovered and many new computational approaches have been developed. Similarly, for many continuous nonconvex optimization prob lems, new approximate algorithms have been developed based on semidefinite pro gramming and new randomization techniques. On the other hand, computational complexity, originating from the interactions between computer science and numeri cal optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. The main focus of complexity is the study of whether existing algorithms are efficient for the solution of problems, and which problems are likely to be tractable. The quest for developing efficient algorithms leads also to elegant general approaches for solving optimization problems, and reveals surprising connections among problems and their solutions. A conference on Approximation and Complexity in Numerical Optimization: Con tinuous and Discrete Problems was held during February 28 to March 2, 1999 at the Center for Applied Optimization of the University of Florida.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 600 pp. Englisch.
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Serie: Emergence, Complexity and Computation, Libro 43 di 47. Libro 43 di 47 - Emergence, Complexity and Computation
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Condizione: New. Print on Demand pp. 604 Illus.
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Condizione: New. Print on Demand pp. 602 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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