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DFS Continuation: Topological Sort
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Related lectures (46)
Graph Algorithms: Modeling and Traversal
Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.
Connectivity in Graph Theory
Covers the fundamentals of connectivity in graph theory, including paths, cycles, and spanning trees.
Graph Algorithms II: Traversal and Paths
Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.
Graph Algorithms: Ford-Fulkerson and Strongly Connected Components
Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.
Bellman-Ford Algorithm: Shortest Path Estimation
Explains the Bellman-Ford algorithm for finding the shortest path in a directed graph with edge weights.
Shortest Paths: Negative Weights & Applications
Covers Minimum Spanning Trees, Kruskal's Algorithm, and Shortest Paths in directed graphs.
Fixed Points in Graph Theory
Focuses on fixed points in graph theory and their implications in algorithms and analysis.
Shortest Path Algorithms: BFS and Dijkstra
Explores Breadth-First Search and Dijkstra's algorithm for finding shortest paths in graphs.
Minimum Spanning Trees: Prim's Algorithm
Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.
Flow Networks: Understanding Flows and Cuts in Algorithms
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Causal Inference & Directed Graphs
Explores causal inference, directed graphs, and fairness in algorithms, emphasizing conditional independence and the implications of DAGs.
Graph Theory Fundamentals
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Properties of Trees: Nodes, Paths, and Cycles
MOOC: Optimization: principles and algorithms - Network and discrete optimization
Explores the properties of trees in graph theory, focusing on nodes, paths, cycles, and the characterization of trees in a directed graph.
Topological Sort and SCC
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Explores topological sort, acyclic graphs, Strongly Connected Components, magic algorithm, component graph, flow networks, and their applications.
Graph Algorithms: Basics
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Introduces the basics of graph algorithms, covering traversal, representation, and data structures for BFS and DFS.
Depth-First Search: Traversing and Sorting Graphs
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Explores depth-first search, breadth-first search, graph representation, and topological sorting in graphs.
Dynamic Programming: Knapsack
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Explores dynamic programming for the Knapsack problem, discussing strategies, algorithms, NP-hardness, and time complexity analysis.
Flow Networks: Strongly Connected Components
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Introduces Strongly Connected Components and Flow Networks, discussing algorithms and applications.
Graph Coloring and Directed Cycles
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Explores graph coloring, directed cycles, LLL algorithm applications, and element dependencies in graphs.
Graphs and Networks: Basics and Applications
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Introduces the basics of graphs and networks, covering definitions, paths, trees, flows, circulation, and spanning trees.
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