Three Search Algorithm

May 8th, 2015
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* Simple Algorithms: Breadth-first and Depth-first Search Common Graph Algorithms * Two common graph algorithms: * Breadth-first Search (BFS) * Depth-first Search (DFS)

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Tree Search AlgorithmGraphs - BFS and DFSOverview* Simple Algorithms: Breadth-first and Depth-first Search Common Graph Algorithms* Two common graph algorithms: * Breadth-first Search (BFS) * Depth-first Search (DFS) * Search: find a node with a given characteristic * Example: search a call graph to find a call to a particular procedure * Both do more than searching Breadth First Search Algorithm* Common graph algoriths uses a breadth-first approach * Example Problem: Search all nodes for a node containing a given value * Example Problem: Find length of shortest path from node s to all other nodes * Example Problem: Find shortest path from node s to all other nodes* Breadth-first Algorithm: * Depth-first: visit all neighbors before visiting neighbors of your neighbors * Start from node s. * Visit all neighbors of node s. * Then visit all of their neighbors, if not already visited * Continue until all nodes visited * Intuition of Implementation * Keep a queue of nodes to visit * When visiting node u, put neighbors of u on the queue, if neighbor not yet visited * Queue contains all nodes that have been seen, but not yet visited Breadth First Search - Code* Problem: find length of shortest path from s to each node * Let u.d represent length of shortest path from nodes to node u * Remember: length is number of edges from s to u * Code: BFS(V, E, s)-- Initialize all nodes as unvisitedfor each node u loopu.d := -1end loop-- Mark first no

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