Created
December 1, 2012 10:14
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Bredath First Search
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public class BreadthFirstSearch<K> { | |
final Integer WHITE=0; //Not yet discovered | |
final Integer GRAY=1; //Discovered by not all adjacent vertices are discovered. | |
final Integer BLACK=2; //Discovered and all adjacent vertices are discovered. | |
HashMap<K,Integer> colour = new HashMap<K, Integer>(); | |
HashMap<K,Integer> distance = new HashMap<K, Integer>(); | |
HashMap<K, K> predecessor = new HashMap<K, K>(); | |
/** | |
* @param graph Adjacency List of the graph | |
* @param s Source vertex | |
* @param d Destination vertex | |
* @return HashMap[2] containing Distance and Predecessor. Search is not done through the entire graph, but | |
* till the destination is reached. So the values for the unreached vertices will be wrong. | |
*/ | |
public <P extends K, Q extends ArrayList<P>> HashMap[] BFS(HashMap<P,Q> graph, P s, P d){ | |
Set keySet = graph.keySet(); | |
Iterator iterator = keySet.iterator(); | |
//Initialize | |
while (iterator.hasNext()){ | |
P u = (P)iterator.next(); | |
if(u!=s){ | |
colour.put(u,WHITE); | |
distance.put(u,Integer.MAX_VALUE); | |
predecessor.put(u,null); | |
} | |
} | |
colour.put(s,GRAY); | |
distance.put(s,0); | |
predecessor.put(s,null); | |
LinkedList<P> queue = new LinkedList<P>(); | |
queue.push(s); | |
while (!queue.isEmpty()){ | |
P u = (P)queue.removeFirst(); | |
ArrayList adjU= graph.get(u); | |
for (int i = 0; i < adjU.size(); i++) { | |
P adjVertex = (P)adjU.get(i); | |
if(colour.get(adjVertex)==WHITE) { | |
colour.put(adjVertex,GRAY); | |
distance.put(adjVertex,distance.get(u)+1); | |
predecessor.put(adjVertex,u); | |
queue.push(adjVertex); | |
if(adjVertex==d){ | |
HashMap[] returnValue = new HashMap[2]; | |
returnValue[0] = distance; | |
returnValue[1] = predecessor; | |
return returnValue; | |
} | |
} | |
} | |
colour.put(u,BLACK); | |
} | |
return null; | |
} | |
} |
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