I using this exact code for this. I modified it a little. So far I added a start and end node index to the calculateShortestDistances() method. Also the path ArrayList for collecting the path node indexes. Also: new to Java...
How do I collect the indexes of nodes in the path ArrayList?
I just can't come up with the solution on a level that I am not even positive this code could do what I want. I only have intuition on my side and little time.
What I tried:
- Adding the nextNode value to the list then removing it if it was not a shorter distance.
- Adding the neighbourIndex to the list then removing it if it was not a shorter distance.
- I made a Path.java with ArrayList but that was went nowhere (it was a class with a public variable named path) but it went nowhere.
Main.java:
public class Main {
public static void main(String[] args) {
Edge[] edges = {
new Edge(0, 2, 1), new Edge(0, 3, 4), new Edge(0, 4, 2),
new Edge(0, 1, 3), new Edge(1, 3, 2), new Edge(1, 4, 3),
new Edge(1, 5, 1), new Edge(2, 4, 1), new Edge(3, 5, 4),
new Edge(4, 5, 2), new Edge(4, 6, 7), new Edge(4, 7, 2),
new Edge(5, 6, 4), new Edge(6, 7, 5)
};
Graph g = new Graph(edges);
g.calculateShortestDistances(4,6);
g.printResult(); // let's try it !
System.out.println(g.path);
}
}
Graph.java:
This is the Graph.java file. Here I added a sAt and eAt variable, so I can tell it what path I am after. Also I created a public path ArrayList, where I intend to collect the path.
import java.util.ArrayList;
// now we must create graph object and implement dijkstra algorithm
public class Graph {
private Node[] nodes;
private int noOfNodes;
private Edge[] edges;
private int noOfEdges;
private int sAt;
private int eAt;
public ArrayList<Integer> path = new ArrayList<>();
public Graph(Edge[] edges) {
this.edges = edges;
// create all nodes ready to be updated with the edges
this.noOfNodes = calculateNoOfNodes(edges);
this.nodes = new Node[this.noOfNodes];
for (int n = 0; n < this.noOfNodes; n++) {
this.nodes[n] = new Node();
}
// add all the edges to the nodes, each edge added to two nodes (to and from)
this.noOfEdges = edges.length;
for (int edgeToAdd = 0; edgeToAdd < this.noOfEdges; edgeToAdd++) {
this.nodes[edges[edgeToAdd].getFromNodeIndex()].getEdges().add(edges[edgeToAdd]);
this.nodes[edges[edgeToAdd].getToNodeIndex()].getEdges().add(edges[edgeToAdd]);
}
}
private int calculateNoOfNodes(Edge[] edges) {
int noOfNodes = 0;
for (Edge e : edges) {
if (e.getToNodeIndex() > noOfNodes)
noOfNodes = e.getToNodeIndex();
if (e.getFromNodeIndex() > noOfNodes)
noOfNodes = e.getFromNodeIndex();
}
noOfNodes++;
return noOfNodes;
}
public void calculateShortestDistances(int startAt, int endAt) {
// node 0 as source
this.sAt = startAt;
this.eAt = endAt;
this.nodes[startAt].setDistanceFromSource(0);
int nextNode = startAt;
// visit every node
for (int i = 0; i < this.nodes.length; i++) {
// loop around the edges of current node
ArrayList<Edge> currentNodeEdges = this.nodes[nextNode].getEdges();
for (int joinedEdge = 0; joinedEdge < currentNodeEdges.size(); joinedEdge++) {
int neighbourIndex = currentNodeEdges.get(joinedEdge).getNeighbourIndex(nextNode);
// only if not visited
if (!this.nodes[neighbourIndex].isVisited()) {
int tentative = this.nodes[nextNode].getDistanceFromSource() + currentNodeEdges.get(joinedEdge).getLength();
if (tentative < nodes[neighbourIndex].getDistanceFromSource()) {
nodes[neighbourIndex].setDistanceFromSource(tentative);
}
}
}
// all neighbours checked so node visited
nodes[nextNode].setVisited(true);
// next node must be with shortest distance
nextNode = getNodeShortestDistanced();
}
}
// now we're going to implement this method in next part !
private int getNodeShortestDistanced() {
int storedNodeIndex = 0;
int storedDist = Integer.MAX_VALUE;
for (int i = 0; i < this.nodes.length; i++) {
int currentDist = this.nodes[i].getDistanceFromSource();
if (!this.nodes[i].isVisited() && currentDist < storedDist) {
storedDist = currentDist;
storedNodeIndex = i;
}
}
return storedNodeIndex;
}
// display result
public void printResult() {
String output = "Number of nodes = " + this.noOfNodes;
output += "\nNumber of edges = " + this.noOfEdges;
output += "\nDistance from "+sAt+" to "+eAt+":" + nodes[eAt].getDistanceFromSource();
System.out.println(output);
}
public Node[] getNodes() {
return nodes;
}
public int getNoOfNodes() {
return noOfNodes;
}
public Edge[] getEdges() {
return edges;
}
public int getNoOfEdges() {
return noOfEdges;
}
}
Addittionally here are the Edge.java and the Node.java classes.
Node.java:
import java.util.ArrayList;
public class Node {
private int distanceFromSource = Integer.MAX_VALUE;
private boolean visited;
private ArrayList<Edge> edges = new ArrayList<Edge>(); // now we must create edges
public int getDistanceFromSource() {
return distanceFromSource;
}
public void setDistanceFromSource(int distanceFromSource) {
this.distanceFromSource = distanceFromSource;
}
public boolean isVisited() {
return visited;
}
public void setVisited(boolean visited) {
this.visited = visited;
}
public ArrayList<Edge> getEdges() {
return edges;
}
public void setEdges(ArrayList<Edge> edges) {
this.edges = edges;
}
}
Edge.java
public class Edge {
private int fromNodeIndex;
private int toNodeIndex;
private int length;
public Edge(int fromNodeIndex, int toNodeIndex, int length) {
this.fromNodeIndex = fromNodeIndex;
this.toNodeIndex = toNodeIndex;
this.length = length;
}
public int getFromNodeIndex() {
return fromNodeIndex;
}
public int getToNodeIndex() {
return toNodeIndex;
}
public int getLength() {
return length;
}
// determines the neighbouring node of a supplied node, based on the two nodes connected by this edge
public int getNeighbourIndex(int nodeIndex) {
if (this.fromNodeIndex == nodeIndex) {
return this.toNodeIndex;
} else {
return this.fromNodeIndex;
}
}
}
I know it looks like a homework. Trust me it isn't. On the other hand I have not much time to finish it, that is why I do it at Sunday. Also I am aware how Dijkstra algorithm works, I understand the concept, I can do it on paper. But collecting the path is beyond me.
setDistanceFromSourceto also accept the node where it came from. After thats it is a simple backtracking to the source, once you reached your destination. – Ralina