Graph theory combinatorial optimization (34 resultados)

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hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

Condición: New. In English.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise.…

Condición: New. pp. 284.

Taschenbuch. Condición: Neu. Graph Theory and Combinatorial Optimization | David Avis (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9781441938114 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Hardcover. Condición: new. Hardcover. The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and combinatorial optimization.Divided into 11 cohesive sections, the handbooks 44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and theoretical foundations to: Understand phenomena as shaped by their graph structuresDevelop needed algorithmic and optimization tools for the study of graph structuresDesign and plan graph structures that lead to certain desirable behavior With contributions from more than 40 worldwide experts, this handbook equips readers with the necessary techniques and tools to solve problems in a variety of applications. Readers gain exposure to the theoretical and algorithmic foundations of a wide range of topics in graph theory and combinatorial optimization, enabling them to identify (and hence solve) problems encountered in diverse disciplines, such as electrical, communication, computer, social, transportation, biological, and other networks. Since the 1970s, many engineering disciplines have relied extensively on graph theory as a primary tool for analysis and design. The Handbook of Graph Algorithms, Volume 1: Theory and Optimization provides comprehensive coverage of basic concepts and recent developments in the field. Focusing on design, proof of correctness, and complexity analysis, this volume presents a detailed discussion of algorithms that are useful in a variety of applications and provides an authoritative review of the current state of the art. Using figures to help illustrate the concepts, the book examines topics such as incremental algorithms and online algorithms that have yet to receive much attention but have great potential for future applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Series: Chapman & Hall/CRC Computer & Information Science Series. Num Pages: 1244 pages, 345 black & white illustrations, 21 black & white tables. BIC Classification: PBV. Category: (G) General (US: Trade). Dimension: 279 x 216. . . 2015. 1st Edition. Hardcover. . . . .

Condición: New. Series: Chapman & Hall/CRC Computer & Information Science Series. Num Pages: 1244 pages, 345 black & white illustrations, 21 black & white tables. BIC Classification: PBV. Category: (G) General (US: Trade). Dimension: 279 x 216. . . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condición: Brand New. 1st edition. 1216 pages. 9.56x6.60x0.75 inches. In Stock.

Hardcover. Condición: new. Hardcover. The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and combinatorial optimization.Divided into 11 cohesive sections, the handbooks 44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and theoretical foundations to: Understand phenomena as shaped by their graph structuresDevelop needed algorithmic and optimization tools for the study of graph structuresDesign and plan graph structures that lead to certain desirable behavior With contributions from more than 40 worldwide experts, this handbook equips readers with the necessary techniques and tools to solve problems in a variety of applications. Readers gain exposure to the theoretical and algorithmic foundations of a wide range of topics in graph theory and combinatorial optimization, enabling them to identify (and hence solve) problems encountered in diverse disciplines, such as electrical, communication, computer, social, transportation, biological, and other networks. Since the 1970s, many engineering disciplines have relied extensively on graph theory as a primary tool for analysis and design. The Handbook of Graph Algorithms, Volume 1: Theory and Optimization provides comprehensive coverage of basic concepts and recent developments in the field. Focusing on design, proof of correctness, and complexity analysis, this volume presents a detailed discussion of algorithms that are useful in a variety of applications and provides an authoritative review of the current state of the art. Using figures to help illustrate the concepts, the book examines topics such as incremental algorithms and online algorithms that have yet to receive much attention but have great potential for future applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In combinatorics, the Narayana numbers N, form a triangle of natural numbers, called Narayana triangle, that occur in various counting problems. They are named for Narayana, a mathematician from India. The Narayana numbers can be expressed in terms of binomial coefficients. An example of a counting problem whose solution can be given in terms of the Narayana numbers N, is the number of expressions containing n pairs of parentheses which are correctly matched and which contain k distinct nestings. For instance, with four pairs of parentheses six sequences can be created which each contain two times the sub-pattern.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The Steiner tree problem is superficially similar to the minimum spanning tree problem: given a set V of points (vertices), interconnect them by a network (graph) of shortest length, where the length is the sum of the lengths of all edges. The difference between the Steiner tree problem and the minimum spanning tree problem is that, in the Steiner tree problem, extra intermediate vertices and edges may be added to the graph in order to reduce the length of the spanning tree. These new vertices introduced to decrease the total length of connection are known as Steiner points or Steiner vertices. It has been proved that the resulting connection is a tree, known as the Steiner tree. There may be several Steiner trees for a given set of initial vertices. …

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise. 280 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise. 284 pp. Englisch.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A current treatment of cutting-edge topics in Graph Theory and Combinatorial Optimization by leading researchersIncludes heuristic advances and novel approaches to solving combinatorial optimization problemsGraph theory is very much tie.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A current treatment of cutting-edge topics in Graph Theory and Combinatorial Optimization by leading researchersIncludes heuristic advances and novel approaches to solving combinatorial optimization problemsGraph theory is very much tie.…

Condición: New. Print on Demand pp. 284 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 284.

Condición: New. Print on Demand pp. 284 26 Illus.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Graph theory is very much tied to the geometric properties of optimization and combinatorial optimization. Moreover, graph theory's geometric properties are at the core of many research interests in operations research and applied mathematics. Its techniques have been used in solving many classical problems including maximum flow problems, independent set problems, and the traveling salesman problem.Graph Theory and Combinatorial Optimization explores the field's classical foundations and its developing theories, ideas and applications to new problems. The book examines the geometric properties of graph theory and its widening uses in combinatorial optimization theory and application. The field's leading researchers have contributed chapters in their areas of expertise.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The assignmentproblem is one of the fundamental combinatorial optimization problems inthe branch of optimization or operations research in mathematics. Itconsists of finding a maximum weight matching in a weighted bipartitegraph. In its most general form, the problem is as follows: There are anumber of agents and a number of tasks. Any agent can be assigned toperform any task, incurring some cost that may vary depending on theagent-task assignment. It is required to perform all tasks by assigningexactly one agent to each task in such a way that the total cost of theassignment is minimized. If the numbers of agents and tasks are equaland the total cost of the assignment for all tasks is equal to the sumof the costs for each agent (or the sum of the costs for each taskwhich is the same thing in this case), then the problem is called thelinear assignment problem. Commonly, when speaking of the assignmentproblem without any additional qualification, then the linear assignmentproblem is meant.…