Graphs, Algorithms, and Optimization, Second Edition
Title | Graphs, Algorithms, and Optimization, Second Edition PDF eBook |
Author | William Kocay |
Publisher | CRC Press |
Pages | 430 |
Release | 2016-11-03 |
Genre | Mathematics |
ISBN | 1482251256 |
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. ?
Graphs, Algorithms, and Optimization
Title | Graphs, Algorithms, and Optimization PDF eBook |
Author | William Kocay |
Publisher | CRC Press |
Pages | 504 |
Release | 2017-09-20 |
Genre | Mathematics |
ISBN | 135198912X |
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.
Optimization Algorithms for Networks and Graphs
Title | Optimization Algorithms for Networks and Graphs PDF eBook |
Author | James Evans |
Publisher | CRC Press |
Pages | 481 |
Release | 2017-10-19 |
Genre | Mathematics |
ISBN | 1351426680 |
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
A Java Library of Graph Algorithms and Optimization
Title | A Java Library of Graph Algorithms and Optimization PDF eBook |
Author | Hang T. Lau |
Publisher | CRC Press |
Pages | 401 |
Release | 2006-10-20 |
Genre | Computers |
ISBN | 1584887192 |
Because of its portability and platform-independence, Java is the ideal computer programming language to use when working on graph algorithms and other mathematical programming problems. Collecting some of the most popular graph algorithms and optimization procedures, A Java Library of Graph Algorithms and Optimization provides the source code for
Graphs, Networks and Algorithms
Title | Graphs, Networks and Algorithms PDF eBook |
Author | Dieter Jungnickel |
Publisher | Springer Science & Business Media |
Pages | 597 |
Release | 2013-06-29 |
Genre | Mathematics |
ISBN | 3662038226 |
Revised throughout Includes new chapters on the network simplex algorithm and a section on the five color theorem Recent developments are discussed
Handbook of Graph Theory, Combinatorial Optimization, and Algorithms
Title | Handbook of Graph Theory, Combinatorial Optimization, and Algorithms PDF eBook |
Author | Krishnaiyan "KT" Thulasiraman |
Publisher | CRC Press |
Pages | 1217 |
Release | 2016-01-05 |
Genre | Computers |
ISBN | 1420011073 |
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
Large-scale Graph Analysis: System, Algorithm and Optimization
Title | Large-scale Graph Analysis: System, Algorithm and Optimization PDF eBook |
Author | Yingxia Shao |
Publisher | Springer Nature |
Pages | 154 |
Release | 2020-07-01 |
Genre | Computers |
ISBN | 9811539286 |
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently. More concretely, it proposes a workload-aware cost model to guide the development of high-performance algorithms. On the basis of the cost model, the book subsequently presents a system-level optimization resulting in a partition-aware graph-computing engine, PAGE. In addition, it presents three efficient and scalable advanced graph algorithms – the subgraph enumeration, cohesive subgraph detection, and graph extraction algorithms. This book offers a valuable reference guide for junior researchers, covering the latest advances in large-scale graph analysis; and for senior researchers, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for designing efficient large-scale graph algorithms.