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This book provides a comprehensive introduction to graphs in Data Structures and Algorithms, covering fundamental concepts and practical applications. It begins with an exploration of different types and categories of graphs, followed by detailed explanations of how graphs are represented using adjacency matrices, lists, and edge structures. Core graph operations and essential traversal techniques such as BFS and DFS are presented with clarity and real-world relevance. The book also examines spanning trees and minimum spanning tree algorithms, highlighting their importance in optimization and network design. Designed for learners, it offers clear insights, examples, and problem-solving strategies.
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