Name: Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (en Inglés)
Price: 450.44 USD
Availability: InStock
Author: Thulasiraman, Krishnaiyan Kt ; Arumugam, Subramanian ; Brandstädt, Andreas
ISBN: 9781584885955

portada Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (en Inglés)

Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (en Inglés)

Formato

Libro Físico

Editorial

CRC Press

Autor

Thulasiraman, Krishnaiyan Kt ; Arumugam, Subramanian ; Brandstädt, Andreas

Idioma

Inglés

N° páginas

1226

Encuadernación

Tapa Dura

Dimensiones

28.4 x 22.1 x 6.4 cm

Peso

3.18 kg.

ISBN

1584885955

ISBN13

9781584885955

Categorías

Combinatoria y teoría de grafos
Sistemas operativos
Algoritmos y estructuras de datos

Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (en Inglés)

Thulasiraman, Krishnaiyan Kt ; Arumugam, Subramanian ; Brandstädt, Andreas (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Handbook of Graph Theory, Combinatorial Optimization, and Algorithms (en Inglés)"

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 handbook's 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 structures Develop needed algorithmic and optimization tools for the study of graph structures Design 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.