DFS BFS and UCS in R
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This document summarizes three graph search algorithms: Depth First Search (DFS), Breadth First Search (BFS), and Uniform Cost Search (UCS). It explains that DFS and BFS can be used to find paths between nodes in an unweighted graph or tree. DFS uses a stack and searches as deeply as possible, while BFS uses a queue and searches layer by layer. The document also provides examples comparing DFS and BFS on scenarios involving network routing. Finally, it introduces UCS, which determines the best path by considering actual path costs rather than just node counts like DFS and BFS.
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This document summarizes algorithms for graph traversal, specifically breadth-first search (BFS) and depth-first search (DFS). It defines some key graph terms like directed/undirected graphs and weighted/unweighted edges. It then explains the processes of BFS and DFS, with BFS using a queue and DFS using a stack. Sample steps and simulations of BFS and DFS on sample graphs are provided. Different orders for tree traversal like pre-order, in-order and post-order are also summarized.
Unit-III-AI Search Techniques and solution's
Informed search algorithms use domain knowledge to guide the search for a solution more efficiently than uninformed searches. Some common informed search algorithms are greedy search and A* search, which uses a heuristic function to estimate distance to the goal. Uninformed searches like breadth-first search and depth-first search do not use additional information beyond how to traverse the search tree.
Similar to DFS BFS and UCS in R (7)
AI3391 ARTIFICIAL INTELLIGENCE Session 7 Uniformed search strategies.pptx
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AI3391 ARTIFICIAL INTELLIGENCE Session 8 Iterative deepening DFS and Bidirect...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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DFS BFS and UCS in R
- 1. Depth First Search (DFS) Breadth First Search (BFS) & Uniform Cost Search (UCS) Vichhaiy SEREY (ID: 5938445) Professors: Ananta Srisuphab Piyanuch Silapachote 11/22/2016 ITCS661 1
- 2. Outline • What they are • DFS and BFS • Take a look at a scenario • Test Scenario 1 • Test Scenario 2 • Let talk about UCS • Conclusion 11/22/2016 ITCS661 2
- 3. What they are • They both are search algorithms which can be used to search path to a vertex (node) in the tree or unweighted graph domain. 11/22/2016 ITCS661 3 DFS: 1. Implement with Stack (LIFO) 2. It attempts to search as far as possible to find the goal node 3. It cares to reach the goal, but it doesn’t care if the path is shorter 4. If the goal is deep, it is good BFS: 1. Implement with Queue (FIFO) 2. Search layer by layer, as close as possible 3. If the goal is not far, the BFS is good 4. If you care the shorter path to the goal, it is good But yes, it consumes more time and memory as the goal is deeper They’re good for their scenarios
- 4. Take a look in one scenario • Suppose a company has many branches (routers) and all branches are formed topology as showing below. • We want to know which path host A sends data to host B 11/22/2016 ITCS661 5
- 7. Try from A to SR 11/22/2016 ITCS661 8 same
- 8. About Uniform Cost Search (UCS) • It is one of the best search algorithm compare to DFS or BFS because it determines the best path through the actual path cost NOT just count number of nodes. • implement with priority queue 11/22/2016 ITCS661 9
- 9. Test old scenario: routers 11/22/2016 ITCS661 11
- 10. Conclusion • DFS uses Stack and BFS uses Queue • DFS tries as deep as possible & BFS tries layer by layer • DFS is simpler compared to BFS • We cannot say which one is better. It depends on which scenario we want to apply. • If the goal is deep, DFS would be better • If the goal is not far, BFS would be better 11/22/2016 ITCS661 12