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This chapter discusses the depth-first search (DFS) algorithm, a strategy for traversing or searching through graph data structures. It begins by explaining how DFS differs from breadth-first search (BFS) and demonstrates the algorithm through a step-by-step example. Additionally, it covers the complexity of DFS, the importance of pre-order and post-order numbering in analyzing graphs, and the structural properties that can be derived from DFS traversal.
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References
ch21.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Depth First Search (DFS)
Definition: A graph traversal algorithm that explores as far down a branch as possible before backtracking.
Term: Preorder and Postorder Numbering
Definition: Tracking the order in which nodes are visited during DFS, which helps in analyzing graph structures.
Term: Graph Complexity
Definition: The time complexity of an algorithm in relation to the number of vertices and edges in a graph, which for DFS can be O(V + E) when using adjacency lists.
Term: Recursive Implementation
Definition: A simpler way to implement DFS that relies on function call stacks rather than explicit stack data structures.