Graph-basedmethods – Bücher, CDs, LPs und mehr, Seite 2

Reinhard Diestel
Graph Theory

This standard textbook on modern graph theory combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subjec…

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Peter Giblin
Graphs, Surfaces and Homology

An elementary introduction to homology theory suitable for undergraduate courses or for self-study.

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Larry Gus

I Need New Eyes

Knapp zwei Jahre nach seinem stark vom Sampling beeinflussten Album »Years Not Living« legt Panagiotis Melidis aka Larry Gus mit einem deutlichen Fokus auf das Songwriting nach. Beeinflusst haben dürften …

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LP

Graph Transformation

This book constitutes the refereed proceedings of the 18th International Conference on Graph Transformation, ICGT 2025, held in Koblenz, Germany, during June 11-12, 2025. The 10 full papers and 1 short pa…

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Béla Bollobás, Robert Morris
Basic Graph Theory

Over the past few decades, graph theory has developed into one of the central areas of modern mathematics, with close (and growing) connections to areas of pure mathematics such as number theory, probabil…

lieferbar ab 31.3.2026.

Buch

Knowledge Graphs and Semantic Web

This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2025, held in Leipzig, Germany, during November 26--28, 2025.The 18 full pape…

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Béla Bollobás, Robert Morris
Basic Graph Theory

Over the past few decades, graph theory has developed into one of the central areas of modern mathematics, with close (and growing) connections to areas of pure mathematics such as number theory, probabil…

lieferbar ab 31.3.2026.

Buch

Graphs in Biomedical Image Analysis

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October…

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Anna Weller
Numerical Methods for Metric Graphs

Chapter 1. Introduction.- Chapter 2. Background: Graphs and Differential Equations.- Chapter 3. Finite Element Method.- Chapter 4. Spectral Solution Method.- Chapter 5. Computation of Quantum Graph Spectr…

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Ahmed Menshawy, Sameh Mohamed, Maraim Rizk Masoud
Scaling Graph Learning for the Enterprise

Tackle the core challenges related to enterprise-ready graph representation and learning. With this hands-on guide, applied data scientists, machine learning engineers, and practitioners will learn how to…

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Ambat Vijayakumar, Aparna Lakshmanan S., Peter J. Cameron
The Shrikhande Graph

The Shrikhande graph, discovered by Indian Mathematician Sharadchandra Shankar Shrikhande in 1959, exhibits several unusual properties and occupies a pivotal position within discrete mathematics. Offering…

lieferbar ab 31.5.2026.

Buch

Ambat Vijayakumar, Aparna Lakshmanan S., Peter J. Cameron
The Shrikhande Graph

The Shrikhande graph, discovered by Indian Mathematician Sharadchandra Shankar Shrikhande in 1959, exhibits several unusual properties and occupies a pivotal position within discrete mathematics. Offering…

lieferbar ab 31.5.2026.

Buch

B. Surendranath Reddy, M. Evangeline Prathibha, T. Asir
Essential Graph Theory

Designed for undergraduate students of computer science, mathematics, and engineering, this book provides the tools and understanding needed to master graph theory and algorithms. It offers a strong theor…

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Buch

Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna
Knowledge Graphs and Llms in Action

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts i…

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Buch

Ray D. Sameshima
Lectures on Graph Theory

This book introduces foundational topics such as group theory, fields, linear algebra, matrix theory, and graph theory, providing readers with the essential background needed to understand Feynman diagram…

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Buch

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

A hands-on guide to powerful graph-based deep learning models.Graph Neural Networks in Action teaches you to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and mo…

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Discrete and Computational Geometry, Graphs, and Games

This book, LNCS 14364, constitutes the refereed proceedings of the 24th Japanese Conference on Discrete and Computational Geometry and Graphs, JCDCGGG 2022, held virtually during September 9-11, 2022.The …

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 30.4.2026.

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Júlio Araújo, Mitre C. Dourado, Fábio Protti, Rudini M. Sampaio
Introduction to Graph Convexity

Latin American Mathematics Series

This book focuses on the computational aspects of graph convexity, with a particular emphasis on path convexity within graphs. It provides a thoughtful introduction to this emerging research field, which …

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Graph Theory in Computer Science

This book is a vital resource for anyone looking to understand the essential role of graph theory as the unifying thread that connects and provides innovative solutions across a wide spectrum of modern co…

lieferbar ab 5.5.2026.

Buch