Graph Traversal: BFS and DFS

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Related lectures (27)

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Search Algorithms: Abductive Reasoning

Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.

Depth-First Search: Exploration and Analysis

Explores the Depth-First Search algorithm, analyzing edge classifications and key theorems in graph exploration.

Algorithms: Problem Solving and Graph Algorithms

Covers elementary graph algorithms, a midterm exam on algorithmic problem-solving, and distance measurement between strings.

Graph Algorithms: Ford-Fulkerson and Strongly Connected Components

Discusses the Ford-Fulkerson method and strongly connected components in graph algorithms.

Deliberative Agents: Planning and Strategies

Covers planning with adversaries, heuristic search algorithms, and strategies for games with chance, emphasizing the significance of deliberative agents.

Graphs: Properties and Representations

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

Graph Algorithms: DFS, Topological Sort, SCC

Explores DFS, Topological Sort, SCC in graphs, and introduces Flow Networks with practical examples.

Flow Networks: Strongly Connected Components

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

Search Algorithms: Abductive Reasoning

Explores abductive reasoning, search algorithms, and heuristic search for problem-solving.

Graph Algorithms: BFS and DFS

Explores graph algorithms like BFS and DFS, discussing shortest paths, spanning trees, and data structures' role.