5 Questions
What does BFS stand for in AI?
Breadth First Search
What is the main difference between DFS and BFS?
DFS explores as far as possible along each branch before backtracking
What is DFS used for?
To traverse a graph or a tree
In what order does BFS traverse a graph?
Level by level, from left to right
What is a common use of BFS in AI?
To find the shortest path in a graph
Study Notes
Graph Traversal Algorithms
- BFS (Breadth-First Search): a traversal approach that explores nodes in a graph level by level, starting from the root node.
- DFS (Depth-First Search): a traversal approach that explores nodes in a graph by diving as deep as possible along each branch before backtracking.
BFS Characteristics
- Tree Traversal: BFS is used to traverse tree data structures.
- Queue Data Structure: BFS uses a queue data structure to keep track of nodes to visit.
- Level by Level: BFS explores nodes level by level, starting from the root node.
DFS Characteristics
- Stack Data Structure: DFS uses a stack data structure to keep track of nodes to visit.
- Depth Exploration: DFS explores nodes as deep as possible along each branch before backtracking.
- Three Types of DFS: There are three types of DFS: Pre-Order, In-Order, and Post-Order.
Applications
- Shortest Path: BFS is used to find the shortest path between two nodes in an unweighted graph.
- Network Topology: DFS is used to traverse network topologies.
- Graph Search: Both BFS and DFS are used in graph search algorithms.
Quiz on graph traversal algorithms including Breadth-First Search (BFS) and Depth-First Search (DFS) techniques.
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