Lectures related to Neighbourhood (graph theory)

Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.

Covers the concept of graph isomorphisms, explaining the definition, notation, examples, computational complexity, and number of isomorphism classes.

Covers spatial relations, topology, adjacency, connectivity, and intersections in geographic information systems.

Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.

Covers the fundamental notion of composition in directed graphs and provides examples of their representation.

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

Explores maximum flow in graphs, covering Ford-Fulkerson algorithm, flow conservation, and minimum cut.