Graphs, Algorithms, and Optimization - Info and Reading Options
By William Kocay
"Graphs, Algorithms, and Optimization" was published by Taylor & Francis Group in 2017 - Boca Raton London New York Washington, D.C, it has 504 pages and the language of the book is English.
“Graphs, Algorithms, and Optimization” Metadata:
- Title: ➤ Graphs, Algorithms, and Optimization
- Author: William Kocay
- Language: English
- Number of Pages: 504
- Publisher: Taylor & Francis Group
- Publish Date: 2017
- Publish Location: ➤ Boca Raton London New York Washington, D.C
“Graphs, Algorithms, and Optimization” Subjects and Themes:
- Subjects: Graph algorithms - Graphic methods - Mathematics - Algorithms - Mathematical optimization
Edition Identifiers:
- The Open Library ID: OL33751361M - OL8948525W
- ISBN-13: 9781351988667
- All ISBNs: 9781351988667
AI-generated Review of “Graphs, Algorithms, and Optimization”:
"Graphs, Algorithms, and Optimization" Description:
Open Data:
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
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