Tree (graph theory)

Related lectures (28)

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Explores the Laplacian matrix properties and consensus in continuous time.

Explores the Laplacian matrix, time-varying consensus theorems, and balanced graphs in networked control systems.

Explains Bayesian Networks factorization and sampling methods using DAGs and Variable Elimination.

Focuses on fixed points in graph theory and their implications in algorithms and analysis.

Explores topological sort, acyclic graphs, Strongly Connected Components, magic algorithm, component graph, flow networks, and their applications.

Explores dynamic programming for the Knapsack Problem, optimizing weight accumulation and profit subsets efficiently.

Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.

Explores the Laplacian matrix and consensus in networked control systems.

Covers the concept of formal proof systems, their structure, and soundness.