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Given a graph, we can use the O(V+E) DFS (Depth-First Search) or BFS (Breadth-First Search) algorithm to traverse the graph and explore the features/properties of the graph.
- Remember
Given a graph, we can use the O(V+E) DFS (Depth-First...
- DFS Earlier
Given a graph, we can use the O(V+E) DFS (Depth-First...
- Queue
Linked List is a data structure consisting of a group of...
- Binary Search Tree
A Binary Search Tree (BST) is a specialized type of binary...
- Binary Heap
A Binary (Max) Heap is a complete binary tree that maintains...
- Adjacency List
An undirected graph G is called connected if there is a path...
- Remember
Depth-First Search. Start Vertex: Directed Graph. Undirected Graph. Small Graph. Large Graph. Logical Representation.
Depth First Search
Multi Lineup Simulator. Everything from the Single lineup simulator but for up to 500 lineups at a time. Filter by player, stacks, or team. Sort by SIM ROI or SIM Cash Rate. Save or export selected lineups.
This visualizer depicts an adjacency matrix as the graph. A breadth first search traverses wide before deep, whereas a depth first search travels deep before wide. The underlying data structure for a B.F.S. is a queue, but a D.F.S. relies on a stack. Both traversals work on directed and undirected graph.
This project is a visualization tool for two fundamental graph traversal algorithms: Breadth-First Search (BFS) Depth-First Search (DFS). These algorithms are widely used in computer science and are fundamental in understanding graph theory and solving various real-world problems.
Refresh Maze Start BFS Start DFS Start BFS Start DFS