Gabriel Valiente
Algorithms on Trees and Graphs: With Python Code
Algorithms on Trees and Graphs: With Python Code
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Graph algorithms is a well-established subject in mathematics and computer science, with recent attention from computational molecular biology and computational chemistry. This book introduces graph algorithms on an intuitive basis, followed by a detailed exposition in a literate programming style, with correctness proofs and worst-case analyses.
Format: Paperback / softback
Length: 387 pages
Publication date: 13 October 2022
Publisher: Springer Nature Switzerland AG
Graph algorithms, a well-established field within mathematics and computer science, has witnessed a remarkable surge in interest beyond its traditional applications in approximation, combinatorial optimization, graphics, and operations research. In recent years, graph algorithms have garnered significant attention from computational molecular biology and computational chemistry, expanding their horizons to new domains. At the core of graph algorithms lies the fundamental concept of graph isomorphism, which extends beyond classical graph problems such as shortest paths, spanning trees, network flows, and matchings in bipartite graphs. This text delves into advanced algorithmic results and techniques with practical relevance, presenting them in a coherent and consolidated manner.
The book begins by introducing graph algorithms in an intuitive and accessible manner, followed by a comprehensive exposition in a literate programming style. Each algorithm is accompanied by correctness proofs and thorough worst-case analyses, ensuring the reliability and efficiency of the presented solutions. Furthermore, the book provides full C++ implementations of all algorithms using the LEDA library, a powerful tool for efficient data structures and algorithms.
By exploring the realm of graph algorithms, this text offers a comprehensive guide for both researchers and practitioners seeking to leverage the power of graphs in solving complex problems across diverse fields. Whether you are working in computer science, biology, chemistry, or any other domain where graph analysis is essential, this book will provide you with the necessary tools and insights to unlock the full potential of graph algorithms.
Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030818876
Edition number: 2nd ed. 2021
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