Articoli correlati a Handbook of Combinatorial Optimization: Supplement...
Sinossi
Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dualheuristics).
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Preface. The Maximum Clique Problem; I.M. Bomze, et al. Linear Assignment Problems and Extensions; R.E. Burkard, E. Çela. Bin Packing Approximation Algorithms: Combinatorial Analysis; E.G. Coffman, et al. Feedback Set Problems; P. Festa, et al. Neural Networks Approaches for Combinatorial Optimization Problems; T.B. Trafalis, S. Kasap. Frequency Assignment Problems; R.A. Murphey, et al. Algorithms for the Satisfiability (SAT) Problem; J. Gu, et al. The Steiner Ratio of Lp-planes; J. Albrecht, D. Cieslik. A Cogitative Algorithm for Solving the Equal Circles Packing Problem; W. Huang, et al. Author Index. Subject Index.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 158,66
EUR 3,42 per la spedizione in U.S.A.
Destinazione, tempi e costiRisultati della ricerca per Handbook of Combinatorial Optimization: Supplement...
Foto dell'editore
Handbook of Combinatorial Optimization: Supplement Volume A
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Feb2416190183401
Quantità: Più di 20 disponibili
Foto dell'editore
Handbook of Combinatorial Optimization: Supplement Volume A
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9780792359241_new
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Handbook of Combinatorial Optimization
Da: moluna, Greven, Germania
Valutazione del venditore 4 su 5 stelle
Gebunden. Condizione: New. Codice articolo 5969024
Quantità: Più di 20 disponibili
Foto dell'editore
Handbook of Combinatorial Optimization
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 660. Codice articolo 26556596
Quantità: 4 disponibili
Immagini fornite dal venditore
Handbook of Combinatorial Optimization
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dual heuristics). 660 pp. Englisch. Codice articolo 9780792359241
Quantità: 2 disponibili
Immagini fornite dal venditore
Handbook of Combinatorial Optimization | Supplement Volume A
Print on DemandDa: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. Handbook of Combinatorial Optimization | Supplement Volume A | Panos M. Pardalos (u. a.) | Buch | viii | Englisch | 1999 | Springer US | EAN 9780792359241 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102295079
Quantità: 5 disponibili
Foto dell'editore
Handbook of Combinatorial Optimization
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Condizione: New. Presents chapters dealing with various aspects of combinatorial optimization, including optimization problems and algorithmic approaches for discrete problems. This book is suitable for those who use combinatorial optimization methods to model and solve problems. Editor(s): Du, Ding-Zhu; Pardalos, Panos M. Num Pages: 656 pages, biography. BIC Classification: PBT; PBV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 34. Weight in Grams: 1094. . 1999. Hardback. . . . . Codice articolo V9780792359241
Quantità: 15 disponibili
Foto dell'editore
Handbook of Combinatorial Optimization
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand pp. 660 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Codice articolo 8372715
Quantità: 4 disponibili
Foto dell'editore
Handbook of Combinatorial Optimization
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. PRINT ON DEMAND pp. 660. Codice articolo 18556606
Quantità: 4 disponibili
Immagini fornite dal venditore
Handbook of Combinatorial Optimization
Editore:
Springer New York, Springer US Okt 1999, 1999
ISBN 10: 0792359240
ISBN 13: 9780792359241
Nuovo
Rilegato
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dualheuristics).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 660 pp. Englisch. Codice articolo 9780792359241
Quantità: 1 disponibili