
Algorithms on Trees and Graphs
With Python Code
Gabriel Valiente(Author)
Springer (Publisher)
2nd Edition
Published on 13. October 2022
Book
Paperback/Softback
XV, 387 pages
978-3-030-81887-6 (ISBN)
Description
Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational molecular biology and computational chemistry. Centered around the fundamental issue of graph isomorphism, this text goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.
More details
Product info
Book
Series
Edition
2nd ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
145 s/w Abbildungen
XV, 387 p. 145 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 22 mm
Weight
610 gr
ISBN-13
978-3-030-81887-6 (9783030818876)
DOI
10.1007/978-3-030-81885-2
Schweitzer Classification
Other editions
Additional editions

Book
10/2021
2nd Edition
Springer
€96.29
Shipment within 7-9 days
Person
Gabriel Valiente, PhD, is an accredited Full Professor at the Department of Computer Science and a member of the Algorithms, Bioinformatics, Complexity and Formal Methods Research Group of the Technical University of Catalonia in Barcelona, Spain. He has been lecturing on Data Structures and Algorithms at the undergraduate level and Advanced Graph Algorithms at the graduate level over the last several years. His current research is centered on combinatorial algorithms on graphs and, in particular, algorithms for comparing trees and graphs, with emphasis on algorithms in computational biology and bioinformatics.
Content
1. Introduction.- 2. Algorithmic Techniques.- 3. Tree Traversal.- 4. Tree Isomorphism.- 5. Graph Traversal.- 6. Clique, Independent Set, and Vertex Cover.- 7. Graph Isomorphism.