DFS Continuation: Topological Sort

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Covers the concept of maximum flow-minimum cut in directed graphs with capacity constraints.

Explains the Bellman-Ford algorithm for finding the shortest path in a directed graph with edge weights.

Explores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.

Covers Minimum Spanning Trees, Kruskal's Algorithm, and Shortest Paths in directed graphs.

Explores depth-first search, breadth-first search, graph representation, and topological sorting in graphs.

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

Covers the basics of graph algorithms, focusing on modeling and representation of graphs in memory.

Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.

Introduces Strongly Connected Components and Flow Networks, discussing algorithms and applications.

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