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Author: James Evans
Publisher: CRC Press
Published: 2017-10-19
Total Pages: 481
ISBN-13: 1351426680
DOWNLOAD EBOOK →A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm
Author: James Evans
Publisher: CRC Press
Published: 1992-03-25
Total Pages: 488
ISBN-13: 9780824786021
DOWNLOAD EBOOK →A revised and expanded advanced-undergraduate/graduate text (first ed., 1978) about optimization algorithms for problems that can be formulated on graphs and networks. This edition provides many new applications and algorithms while maintaining the classic foundations on which contemporary algorithm
Author: William Kocay
Publisher: CRC Press
Published: 2016-11-03
Total Pages: 430
ISBN-13: 1482251256
DOWNLOAD EBOOK →The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory in a rigorous, but informal style and cover most of the main areas of graph theory. The ideas of surface topology are presented from an intuitive point of view. We have also included a discussion on linear programming that emphasizes problems in graph theory. The text is suitable for students in computer science or mathematics programs. ?
Author: Dieter Jungnickel
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 597
ISBN-13: 3662038226
DOWNLOAD EBOOK →Revised throughout Includes new chapters on the network simplex algorithm and a section on the five color theorem Recent developments are discussed
Author: Ding-zhu Du
Publisher: World Scientific
Published: 1993-04-27
Total Pages: 417
ISBN-13: 9814504580
DOWNLOAD EBOOK →In the past few decades, there has been a large amount of work on algorithms for linear network flow problems, special classes of network problems such as assignment problems (linear and quadratic), Steiner tree problem, topology network design and nonconvex cost network flow problems.Network optimization problems find numerous applications in transportation, in communication network design, in production and inventory planning, in facilities location and allocation, and in VLSI design.The purpose of this book is to cover a spectrum of recent developments in network optimization problems, from linear networks to general nonconvex network flow problems./a
Author: Christos H. Papadimitriou
Publisher: Courier Corporation
Published: 2013-04-26
Total Pages: 528
ISBN-13: 0486320138
DOWNLOAD EBOOK →This graduate-level text considers the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; local search heuristics for NP-complete problems, more. 1982 edition.
Author: Krishnaiyan "KT" Thulasiraman
Publisher: CRC Press
Published: 2016-01-05
Total Pages: 1217
ISBN-13: 1420011073
DOWNLOAD EBOOK →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 c
Author: William Kocay
Publisher: CRC Press
Published: 2017-09-20
Total Pages: 504
ISBN-13: 135198912X
DOWNLOAD EBOOK →Graph theory offers a rich source of problems and techniques for programming and data structure development, as well as for understanding computing theory, including NP-Completeness and polynomial reduction. A comprehensive text, Graphs, Algorithms, and Optimization features clear exposition on modern algorithmic graph theory presented in a rigorous yet approachable way. The book covers major areas of graph theory including discrete optimization and its connection to graph algorithms. The authors explore surface topology from an intuitive point of view and include detailed discussions on linear programming that emphasize graph theory problems useful in mathematics and computer science. Many algorithms are provided along with the data structure needed to program the algorithms efficiently. The book also provides coverage on algorithm complexity and efficiency, NP-completeness, linear optimization, and linear programming and its relationship to graph algorithms. Written in an accessible and informal style, this work covers nearly all areas of graph theory. Graphs, Algorithms, and Optimization provides a modern discussion of graph theory applicable to mathematics, computer science, and crossover applications.
