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@thmain
Created April 5, 2018 03:05
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import javafx.util.Pair;
import java.util.Comparator;
import java.util.LinkedList;
import java.util.PriorityQueue;
public class DijkstraPQ {
static class Edge {
int source;
int destination;
int weight;
public Edge(int source, int destination, int weight) {
this.source = source;
this.destination = destination;
this.weight = weight;
}
}
static class Graph {
int vertices;
LinkedList<Edge>[] adjacencylist;
Graph(int vertices) {
this.vertices = vertices;
adjacencylist = new LinkedList[vertices];
//initialize adjacency lists for all the vertices
for (int i = 0; i <vertices ; i++) {
adjacencylist[i] = new LinkedList<>();
}
}
public void addEdge(int source, int destination, int weight) {
Edge edge = new Edge(source, destination, weight);
adjacencylist[source].addFirst(edge);
edge = new Edge(destination, source, weight);
adjacencylist[destination].addFirst(edge); //for undirected graph
}
public void dijkstra_GetMinDistances(int sourceVertex){
boolean[] SPT = new boolean[vertices];
//distance used to store the distance of vertex from a source
int [] distance = new int[vertices];
//Initialize all the distance to infinity
for (int i = 0; i <vertices ; i++) {
distance[i] = Integer.MAX_VALUE;
}
//Initialize priority queue
//override the comparator to do the sorting based keys
PriorityQueue<Pair<Integer, Integer>> pq = new PriorityQueue<>(vertices, new Comparator<Pair<Integer, Integer>>() {
@Override
public int compare(Pair<Integer, Integer> p1, Pair<Integer, Integer> p2) {
//sort using distance values
int key1 = p1.getKey();
int key2 = p2.getKey();
return key1-key2;
}
});
//create the pair for for the first index, 0 distance 0 index
distance[0] = 0;
Pair<Integer, Integer> p0 = new Pair<>(distance[0],0);
//add it to pq
pq.offer(p0);
//while priority queue is not empty
while(!pq.isEmpty()){
//extract the min
Pair<Integer, Integer> extractedPair = pq.poll();
//extracted vertex
int extractedVertex = extractedPair.getValue();
if(SPT[extractedVertex]==false) {
SPT[extractedVertex] = true;
//iterate through all the adjacent vertices and update the keys
LinkedList<Edge> list = adjacencylist[extractedVertex];
for (int i = 0; i < list.size(); i++) {
Edge edge = list.get(i);
int destination = edge.destination;
//only if edge destination is not present in mst
if (SPT[destination] == false) {
///check if distance needs an update or not
//means check total weight from source to vertex_V is less than
//the current distance value, if yes then update the distance
int newKey = distance[extractedVertex] + edge.weight ;
int currentKey = distance[destination];
if(currentKey>newKey){
Pair<Integer, Integer> p = new Pair<>(newKey, destination);
pq.offer(p);
distance[destination] = newKey;
}
}
}
}
}
//print Shortest Path Tree
printDijkstra(distance, sourceVertex);
}
public void printDijkstra(int[] distance, int sourceVertex){
System.out.println("Dijkstra Algorithm: (Adjacency List + Priority Queue)");
for (int i = 0; i <vertices ; i++) {
System.out.println("Source Vertex: " + sourceVertex + " to vertex " + + i +
" distance: " + distance[i]);
}
}
public static void main(String[] args) {
int vertices = 6;
Graph graph = new Graph(vertices);
graph.addEdge(0, 1, 4);
graph.addEdge(0, 2, 3);
graph.addEdge(1, 2, 1);
graph.addEdge(1, 3, 2);
graph.addEdge(2, 3, 4);
graph.addEdge(3, 4, 2);
graph.addEdge(4, 5, 6);
graph.dijkstra_GetMinDistances(0);
}
}
}
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