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Decentralized Systems: Gossip Protocol
Graph Chatbot
Related lectures (29)
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Graph Theory and Network Flows
Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.
Isomorphic Graphs: Definition and Examples
Explains isomorphic graphs through examples and the relationship with identical graphs.
Sparsest Cut: Leighton-Rao Algorithm
Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.
Statistical Analysis of Network Data
Introduces network data structures, models, and analysis techniques, emphasizing permutation invariance and Erdős-Rényi networks.
Markov Chains and Algorithm Applications
Covers the fundamentals of Markov chains and their applications in algorithms, focusing on proper coloring and the Metropolis algorithm.
Graphs: BFS
Introduces elementary graph algorithms, focusing on Breadth-First Search and Depth-First Search.
Graph Algorithms: Ford-Fulkerson and Strongly Connected Components
Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.
Dijkstra's Algorithm and Probabilistic Analysis
Introduces Dijkstra's algorithm and probabilistic analysis through the Hiring Problem.
Graph Algorithms: Flows and Strongly Connected Components
Discusses graph algorithms, focusing on flow networks and strongly connected components.