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This lecture introduces graph algorithms, focusing on modeling and representation. It covers the basics of graphs, including vertices, edges, directed and undirected graphs, weighted graphs, and multigraphs. The instructor explains how to represent graphs in memory using adjacency lists and matrices, and discusses the importance of efficient data structures for algorithm optimization.
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