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Questions and Answers
What does BFS stand for in AI?
What does BFS stand for in AI?
- Breadth First Search (correct)
- Binary Fractional Search
- Binary Format Scheduler
- Binary File System
What is the main difference between DFS and BFS?
What is the main difference between DFS and BFS?
- DFS is faster than BFS
- DFS explores as far as possible along each branch before backtracking (correct)
- DFS is used for graphs and BFS for trees
- BFS is more memory efficient than DFS
What is DFS used for?
What is DFS used for?
- Finding the shortest path in a graph
- To traverse a graph or a tree (correct)
- To sort a list of numbers
- Finding the longest path in a graph
In what order does BFS traverse a graph?
In what order does BFS traverse a graph?
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What is a common use of BFS in AI?
What is a common use of BFS in AI?
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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.
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