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Merge pull request TheAlgorithms#558 from rmakynen/master
Added an explanation to SkylineProblem
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package Others; | ||
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/** | ||
* Dijkstra's algorithm,is a graph search algorithm that solves the single-source | ||
* shortest path problem for a graph with nonnegative edge path costs, producing | ||
* a shortest path tree. | ||
* | ||
* NOTE: The inputs to Dijkstra's algorithm are a directed and weighted graph consisting | ||
* of 2 or more nodes, generally represented by an adjacency matrix or list, and a start node. | ||
* | ||
* Original source of code: https://rosettacode.org/wiki/Dijkstra%27s_algorithm#Java | ||
* Also most of the comments are from RosettaCode. | ||
* | ||
*/ | ||
//import java.io.*; | ||
import java.util.*; | ||
public class Dijkstra { | ||
private static final Graph.Edge[] GRAPH = { | ||
new Graph.Edge("a", "b", 7), //Distance from node "a" to node "b" is 7. In the current Graph there is no way to move the other way (e,g, from "b" to "a"), a new edge would be needed for that | ||
new Graph.Edge("a", "c", 9), | ||
new Graph.Edge("a", "f", 14), | ||
new Graph.Edge("b", "c", 10), | ||
new Graph.Edge("b", "d", 15), | ||
new Graph.Edge("c", "d", 11), | ||
new Graph.Edge("c", "f", 2), | ||
new Graph.Edge("d", "e", 6), | ||
new Graph.Edge("e", "f", 9), | ||
}; | ||
private static final String START = "a"; | ||
private static final String END = "e"; | ||
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/** | ||
* main function | ||
* Will run the code with "GRAPH" that was defined above. | ||
*/ | ||
public static void main(String[] args) { | ||
Graph g = new Graph(GRAPH); | ||
g.dijkstra(START); | ||
g.printPath(END); | ||
//g.printAllPaths(); | ||
} | ||
} | ||
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class Graph { | ||
private final Map<String, Vertex> graph; // mapping of vertex names to Vertex objects, built from a set of Edges | ||
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/** One edge of the graph (only used by Graph constructor) */ | ||
public static class Edge { | ||
public final String v1, v2; | ||
public final int dist; | ||
public Edge(String v1, String v2, int dist) { | ||
this.v1 = v1; | ||
this.v2 = v2; | ||
this.dist = dist; | ||
} | ||
} | ||
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/** One vertex of the graph, complete with mappings to neighbouring vertices */ | ||
public static class Vertex implements Comparable<Vertex> { | ||
public final String name; | ||
public int dist = Integer.MAX_VALUE; // MAX_VALUE assumed to be infinity | ||
public Vertex previous = null; | ||
public final Map<Vertex, Integer> neighbours = new HashMap<>(); | ||
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public Vertex(String name) { | ||
this.name = name; | ||
} | ||
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private void printPath() { | ||
if (this == this.previous) { | ||
System.out.printf("%s", this.name); | ||
} | ||
else if (this.previous == null) { | ||
System.out.printf("%s(unreached)", this.name); | ||
} | ||
else { | ||
this.previous.printPath(); | ||
System.out.printf(" -> %s(%d)", this.name, this.dist); | ||
} | ||
} | ||
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public int compareTo(Vertex other) { | ||
if (dist == other.dist) | ||
return name.compareTo(other.name); | ||
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return Integer.compare(dist, other.dist); | ||
} | ||
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@Override public String toString() { | ||
return "(" + name + ", " + dist + ")"; | ||
} | ||
} | ||
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/** Builds a graph from a set of edges */ | ||
public Graph(Edge[] edges) { | ||
graph = new HashMap<>(edges.length); | ||
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//one pass to find all vertices | ||
for (Edge e : edges) { | ||
if (!graph.containsKey(e.v1)) graph.put(e.v1, new Vertex(e.v1)); | ||
if (!graph.containsKey(e.v2)) graph.put(e.v2, new Vertex(e.v2)); | ||
} | ||
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//another pass to set neighbouring vertices | ||
for (Edge e : edges) { | ||
graph.get(e.v1).neighbours.put(graph.get(e.v2), e.dist); | ||
//graph.get(e.v2).neighbours.put(graph.get(e.v1), e.dist); // also do this for an undirected graph | ||
} | ||
} | ||
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/** Runs dijkstra using a specified source vertex */ | ||
public void dijkstra(String startName) { | ||
if (!graph.containsKey(startName)) { | ||
System.err.printf("Graph doesn't contain start vertex \"%s\"\n", startName); | ||
return; | ||
} | ||
final Vertex source = graph.get(startName); | ||
NavigableSet<Vertex> q = new TreeSet<>(); | ||
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// set-up vertices | ||
for (Vertex v : graph.values()) { | ||
v.previous = v == source ? source : null; | ||
v.dist = v == source ? 0 : Integer.MAX_VALUE; | ||
q.add(v); | ||
} | ||
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dijkstra(q); | ||
} | ||
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/** Implementation of dijkstra's algorithm using a binary heap. */ | ||
private void dijkstra(final NavigableSet<Vertex> q) { | ||
Vertex u, v; | ||
while (!q.isEmpty()) { | ||
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u = q.pollFirst(); // vertex with shortest distance (first iteration will return source) | ||
if (u.dist == Integer.MAX_VALUE) break; // we can ignore u (and any other remaining vertices) since they are unreachable | ||
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//look at distances to each neighbour | ||
for (Map.Entry<Vertex, Integer> a : u.neighbours.entrySet()) { | ||
v = a.getKey(); //the neighbour in this iteration | ||
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final int alternateDist = u.dist + a.getValue(); | ||
if (alternateDist < v.dist) { // shorter path to neighbour found | ||
q.remove(v); | ||
v.dist = alternateDist; | ||
v.previous = u; | ||
q.add(v); | ||
} | ||
} | ||
} | ||
} | ||
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/** Prints a path from the source to the specified vertex */ | ||
public void printPath(String endName) { | ||
if (!graph.containsKey(endName)) { | ||
System.err.printf("Graph doesn't contain end vertex \"%s\"\n", endName); | ||
return; | ||
} | ||
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graph.get(endName).printPath(); | ||
System.out.println(); | ||
} | ||
/** Prints the path from the source to every vertex (output order is not guaranteed) */ | ||
public void printAllPaths() { | ||
for (Vertex v : graph.values()) { | ||
v.printPath(); | ||
System.out.println(); | ||
} | ||
} | ||
} |
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