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 computer science disciplines.

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 explain the semantic and syntactic relationships in natural language processing, a technology behind many businesses. Disciplinary and industry developments are seeing a major transition towards more interconnected and data-driven decision-making, and the application of graph theory will facilitate this transition. Disciplines such as parallel and distributive computing will gain insights into how graph theory can help with resource optimization and job scheduling, creating considerable change in the design and development of scalable systems. This book provides comprehensive coverage of how graph theory acts as the thread that connects different areas of computer science to create innovative solutions to modern technological problems. Using a multi-faceted approach, the book explores the fundamentals and role of graph theory in molding complex computational processes across a wide spectrum of computer science.

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Yes, you can access Graph Theory for Computer Science by Manikandan Rajagopal,Ramkumar Sivasakthivel,Joseph Varghese Kureethara,Niranjanamurthy M.,Biswadip Basu Mallik in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
Chapter 1 A Comprehensive Study on Pathfinding in Dynamic Graphs Using Automaton and Two-Way Depth-First Search
Chapter 2 Advancing Systemic Risk Assessment in Financial Networks with Neural Networks and Graph Labeling
Chapter 3 Advanced Image Segmentation Using Graph Cut Technique
Chapter 4 An Encryption and Decryption of Block Ciphers Using Multipartite Graphs
Chapter 5 Big Data Analytics—Graph Databases and Insights
Chapter 6 Implementing Various Graph Labeling Techniques to Strengthen Cryptosystem Security
Chapter 7 Graphs in IoT: Network Topology and Connectivity
Chapter 8 Understanding Dependency Graphs in Parallel and Distributed Computing from Concept to Execution
Chapter 9 A Comprehensive Overview on Graph-Based Modeling of Transactions in Blockchain Technology
Chapter 10 Graph Databases Unveiling Insights in Big Data Analytics
Chapter 11 Secure Equitability in Chemical Networks
Chapter 12 Fuzzy Graph Theory-Enhanced Gradient Boosting Regression with Network Flow Graphs for Effective Inventory Management Amid Shortages
Chapter 13 Graph Unveiling in Image Processing: A Comprehensive Study of Recognition and Segmentation Methods in Medical Images
Chapter 14 From Nodes to Keys: Graph-Based Cryptosystems for Secure Communication
Chapter 15 Graph-Based Representation in Artificial Neural Networks
Chapter 16 Unleashing the Power of Graph Theory in Data Structures
Chapter 17 Digital Payment Satisfaction Analysis Using Graph-Based Factor Analysis Technique
Chapter 18 A Statistical Graph-Based Welfare Measure Estimation Provided in the Public Sector Organization
Chapter 19 A Graph Analysis Model for Predicting Stock Market Trends Using Deep Learning
Chapter 20 A Performance Graph-Based Design, Implementation, and Evaluation of Metaverse Technology for Health Education
Chapter 21 An Effective Stock Market Price Graph Prediction Model Using Random Forest Algorithm
Chapter 22 Forecasting Short-Term Stock Market with Graph Prediction Model and Genetic Algorithm-Based Backpropagation Neural Network
Chapter 23 Prediction of Stock Market Prices Using Real-Time Stock Data with Graph Models and Deep Learning
Chapter 24 Graph-Based Model for Indian Stock Market Trends
Chapter 25 Employee Satisfaction Based on Welfare Measures Using Statistical Graphs
Chapter 26 A Graph-Based Analysis of Digital Payments and Digital Technologies
Chapter 27 Network Analysis of Indian Stock Market at the Onset of Ukraine-Russia War
Chapter 28 Leveraging Graph Theory for Transformative Applications in Computing and Technology
About the Editors
Index
Also of Interest
EULA

About this book

Frequently asked questions

Information

Table of contents