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courses:cs211:winter2011:journals:chen:chapter_3 [2011/02/02 05:15] – [3.3 Implementing Graph Traversal Using Queues and Stacks] zhongccourses:cs211:winter2011:journals:chen:chapter_3 [2011/02/16 12:33] (current) zhongc
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 Designing the algo  **Breadth-First Search** Designing the algo  **Breadth-First Search**
 The idea is to use the BFS to push the layers forward and test for bipartiteness. The idea is to use the BFS to push the layers forward and test for bipartiteness.
-      First we assume the graph G is connected, next we pick any node s that belongs to V and color it red. Color all the connected nodes on the next layer to be blue, and the next layer to be red. do this for the whole graph. +First we assume the graph G is connected, next we pick any node s that belongs to V and color it red. Color all the connected nodes on the next layer to be blue, and the next layer to be red. do this for the whole graph. 
-**      The node cannnot be connected to any other nodes that are more than one layer away.**+**The node cannnot be connected to any other nodes that are more than one layer away.**
              
              
Line 69: Line 69:
  
 Interesting/Readable: 6 6 Interesting/Readable: 6 6
 +
 +
 +====== 3.6 Directed Acyclic Graphs and Topological Ordering ======
 +definitions:
 +  * If a directed graph has no cycles, we call it--naturally enough--a directed acycIic graph, or a DAG.
 +  * analogous to any dependant systems in problem solving
 +  * DAGs can be used to encode precedence relations or dependencies in a natural way.
 +
 +Problem:
 +Goal: Find an algorithm for finding the TO.
 +We can represent such an interdependent Set of tasks by introducing a node for each task, and a directed edge (i, j) whenever i must be done before j. The graph must be a DAG.
 +
 +Preparation:
 +G has a topological ordering, then G is a DAG.
 +proof:
 +contradiction, spse we have a topological ordering, and also a cycle.
 +then see what happens to the max indexed nodes...see p126.
 +
 +In every DAG G, there is a node v with no incoming edges.
 +proof:
 +same idea as above.
 +
 +
 +Algo Idea: 
 +find a node v with no incoming edges
 +Order v first
 +Delete v from G
 +Recursively compute a topological ordering of G-{v}
 +and append this order after v.
 +
 +
 +
 +Readable/Interesting: 7/7
  
courses/cs211/winter2011/journals/chen/chapter_3.1296623743.txt.gz · Last modified: 2011/02/02 05:15 by zhongc
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