Name: Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and its Applications (Hardcover)) (en Inglés)
SKU: 55636636
Price: 2383.63 MXN
Availability: InStock
Author: Dehmer, Matthias ; Emmert-Streib, Frank
ISBN: 9780367378226

portada Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and its Applications (Hardcover)) (en Inglés)

Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and its Applications (Hardcover)) (en Inglés)

Formato

Libro Físico

Ilustrado por

Matthias Dehmer

Frank Emmert-Streib

Editorial

CRC Press

Autor

Dehmer, Matthias ; Emmert-Streib, Frank

Idioma

Inglés

N° páginas

528

Encuadernación

Tapa Blanda

Dimensiones

23.1x15.5x3 cm

Peso

0.73 kg.

ISBN13

9780367378226

N° edición

Categorías

Combinatoria y teoría de grafos
Sistemas operativos

Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and its Applications (Hardcover)) (en Inglés)

Matthias Dehmer (Ilustrado por) · Frank Emmert-Streib (Ilustrado por) · CRC Press · Tapa Blanda

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Reseña del libro "Quantitative Graph Theory: Mathematical Foundations and Applications (Discrete Mathematics and its Applications (Hardcover)) (en Inglés)"

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, this book covers a wide range of quantitative-graph theoretical concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other disciplines Metrical properties of graphs and measures Mathematical properties of quantitative methods or measures in graph theory Network complexity measures and other topological indices Quantitative approaches to graphs using machine learning (e.g., clustering) Graph measures and statistics Information-theoretic methods to analyze graphs quantitatively (e.g., entropy) Through its broad coverage, Quantitative Graph Theory: Mathematical Foundations and Applications fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines. It is intended for researchers as well as graduate and advanced undergraduate students in the fields of mathematics, computer science, mathematical chemistry, cheminformatics, physics, bioinformatics, and systems biology.