LEARN GRAPHS FROM ZERO: Basic graphs, list and adjacency matrix, definitions and properties.
Learn this data structure that is so important for the design and analysis of algorithms. In the video I explain what graphs are, I explain what degrees or valences are, and the basic types of graphs such as Path, Cycle, Wheel, Complete and Bipartite graphs. I also explain how to represent them formally and with the classical forms such as list and adjacency matrix. As if that were not enough, I also explain variants such as the Directed graph, the Weighted graph and the Multigraph, as well as some important properties that will be useful for future videos, namely when a graph is isomorphic, planar, complementary, self-complementary, connected, cyclic or tree. What I wonder is what you are doing reading this instead of watching the 6 minutes of the video ;)
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Lobby Time Kevin MacLeod (incompetech.com)
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#Graphs #Algorithms #ArtificialIntelligence
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