Path (graph theory)

Related lectures (31)

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Explores coordination among agents in networked control systems through graph theory and real-world examples.

Introduces graph theory, network flows, and flow conservation laws with practical examples and theorems.

Covers finding the shortest path in directed graphs efficiently using algorithmic approaches and discussing related NP-complete problems.

Covers embedding graphs into trees with a focus on minimizing distortion and Bartal Tree embeddings.

Explores maximizing diversity in document selection, graph clique determination, theorems on negative type, and convex optimization.

Covers the calculation of paths in a graph, focusing on amplitude-weighted paths.

Discusses the importance of assembly in manufacturing and covers common couplings, stability, and spatial vectors.

Covers the definition of flow in a network and flow calculation.

Covers Dijkstra's algorithm for shortest path problems and its application in ALL-TO-ONE and ALL-PAIRS algorithms.

Explores non-parametric regression for networks, covering object data analysis, network graphs, extrinsic distances, and practical projections.