Data Structures and Algorithms The Complete Masterclass - Graphs

The video tutorial explores graphs as a crucial data structure, highlighting their importance in coding interviews, implementation, and real-life applications. It explains the basics of graphs, including nodes, edges, and vertices, and contrasts them with trees. The tutorial covers different types of graphs, such as directed, undirected, weighted, and unweighted, and discusses their use cases in social media, ecommerce, and algorithms. It also explains methods for storing and implementing graphs, including adjacency matrices, lists, and edge lists.

What is a graph and how does it differ from a tree?

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Explain the concept of nodes and edges in a graph.

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What are the differences between directed and undirected graphs?

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Describe the significance of weighted graphs and provide an example.

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What is a cyclic graph and how does it differ from an acyclic graph?

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How do graphs apply to social media platforms like Facebook and Instagram?

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What are the different methods to store graph data structures?

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Explain the concept of adjacency matrix and its use in graph representation.

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Discuss the importance of graph algorithms in real-world applications.

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What role do graphs play in optimizing delivery routes for e-commerce?

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