Lectures related to Embedding Graphs into Trees

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Covers graph properties, representations, and traversal algorithms using BFS and DFS.

Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.

Covers the concept of weighted graphs and the Greedy algorithm for finding a minimal spanning tree.

Explores the properties of undirected and directed graphs, emphasizing connectivity and network topology modeling.

Explores the concept of minimizing guardians in graphs through strategic edge selection.

Explores Belief Propagation in graphical models, factor graphs, spin glass examples, Boltzmann distributions, and graph coloring properties.

Introduces graph sketching, generalizations like multigraphs, and weighted graphs.

Explores the Cavity Method in Mean Field Theory, analyzing spins in an external field within a graph.