Graphs – Bücher, CDs, LPs und mehr, Seite 3

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

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Combinatorics, Graph Theory and Computing

1.The es-Splitting Operation for Matroids Representable over Prime Felds GF(p) (P. Malavadkar, S. Gunjal, U. Jagadale, M.M. Shikare, and B.N. Waphare).- 2.The Existence Problem for Strong Complete Mapping…

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

A bird's eye view of theoretical developments and concrete applications that will enable newcomers to get a flavour of key results. Provides an exhaustive, at the time of writing, bibliography which will …

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

A bird's eye view of theoretical developments and concrete applications that will enable newcomers to get a flavour of key results. Provides an exhaustive, at the time of writing, bibliography which will …

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Jeremy Kubica
Graph Algorithms the Fun Way

Enter the wonderful world of graph algorithms, where you'll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.Gr…

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

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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Werner Roddeck
Grundprinzipien der Mechatronik

Einleitung.- Modellbildung mit Bondgraphen.- Herleitung des mathematischen Modells.- Simulationssysteme.- Analyse linearer Systeme.- Multiport-Felder und komplexe Strukturen.- Komponenten mechatronischer …

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R. Rama
Topics in Combinatorics and Graph Theory

The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. The first and second chapters cover all the basic methods a…

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Graphene-Based Photocatalysts for Hydrogen Production and Environmental Remediation

This book delves into the cutting-edge applications of graphene-based photocatalysts, unveiling their immense potential in addressing two critical global challenges: sustainable hydrogen production and en…

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Graph Theory in Computer Science

Graph theory is a traditional mathematical discipline that has evolved as a basic tool for modeling and analyzing the complex relationships between different technological landscapes. Graph theory helps e…

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Combinatorics, Graph Theory and Computing

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Flo…

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Combinatorics, Graph Theory and Computing

This proceedings volume compiles selected, revised papers presented at the 53rd SouthEastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2022), which took place at Flo…

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Yuzhuo Li, Yunwei Ryan Li
Graph Theory in Power Converters

Understand the theory behind an area of rapid engineering innovationThe field of power electronics has been rapidly transformed in recent decades by astonishing advances in power converter network techniq…

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Liqiang Nie, Fan Liu
Advancing Recommender Systems with Graph Convolutional Networks

This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structure…

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Graph Neural Networks: Essentials and Use Cases

Chapter 1 Applications of Graph Neural Networks in Computer Vision: Transforming Perception Through Structure.- Chapter 2 Large-Scale Learnable Graph Convolutional Networks (LGCNs) Graph Neural Networks (…

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Albert Wiedemann, Peter Brichzin, Klaus Reinold, Florian Janus
Informatik (Oldenbourg) 12. Jahrgangsstufe. Gymnasium Bayern - Schulbuch

Informatik (Oldenbourg) - Gymnasium Bayern - Ausgabe 2017

Zugelassen zum LehrplanPLUS am 06.09.2024 l Zulassungsnummer 154/24-G+Der Band für die 12. Jahrgangsstufe führt die Konzepte der Vorgänger fort:maßgeschneiderte Bände für alle drei Zweige (spätbeginnend, …

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Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis

Lecture Notes in Computer Science - Band 16150

This book constitutes the refereed proceedings of the 7th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2025, and the First Workshop on Reconstruction and Imaging Motion Estimation,…

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Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based me…

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Hermann Kautschitsch, Gert Kadunz
Elemente der Codierungstheorie

Im täglichen Leben sind wir zunehmend von Codes umgeben, die mathematisch konstruiert werden. Sie sind teils leicht erkennbar (Strichcode, ISBN, IBAN, QR) und teils eher verborgen (GPS, WLAN, CD, DVD). In…

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Michael Stiebitz, Thomas Schweser, Bjarne Toft
Brooks' Theorem

Brooks' Theorem (1941) is one of the most famous and fundamental theorems in graph theory - it is mentioned/treated in all general monographs on graph theory. It has sparked research in several directions…

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