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146 lines
6.6 KiB
Java

package com.jwetherell.algorithms.graph;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.PriorityQueue;
import java.util.Queue;
import com.jwetherell.algorithms.data_structures.Graph;
/**
* Dijkstra's shortest path. Only works on non-negative path weights. Returns a
* tuple of total cost of shortest path and the path.
*
* Worst case: O(|E| + |V| log |V|)
*
* https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
*
* @author Justin Wetherell <phishman3579@gmail.com>
*/
public class Dijkstra {
private Dijkstra() { }
public static Map<Graph.Vertex<Integer>, Graph.CostPathPair<Integer>> getShortestPaths(Graph<Integer> graph, Graph.Vertex<Integer> start) {
final Map<Graph.Vertex<Integer>, List<Graph.Edge<Integer>>> paths = new HashMap<Graph.Vertex<Integer>, List<Graph.Edge<Integer>>>();
final Map<Graph.Vertex<Integer>, Graph.CostVertexPair<Integer>> costs = new HashMap<Graph.Vertex<Integer>, Graph.CostVertexPair<Integer>>();
getShortestPath(graph, start, null, paths, costs);
final Map<Graph.Vertex<Integer>, Graph.CostPathPair<Integer>> map = new HashMap<Graph.Vertex<Integer>, Graph.CostPathPair<Integer>>();
for (Graph.CostVertexPair<Integer> pair : costs.values()) {
int cost = pair.getCost();
Graph.Vertex<Integer> vertex = pair.getVertex();
List<Graph.Edge<Integer>> path = paths.get(vertex);
map.put(vertex, new Graph.CostPathPair<Integer>(cost, path));
}
return map;
}
public static Graph.CostPathPair<Integer> getShortestPath(Graph<Integer> graph, Graph.Vertex<Integer> start, Graph.Vertex<Integer> end) {
if (graph == null)
throw (new NullPointerException("Graph must be non-NULL."));
// Dijkstra's algorithm only works on positive cost graphs
final boolean hasNegativeEdge = checkForNegativeEdges(graph.getVertices());
if (hasNegativeEdge)
throw (new IllegalArgumentException("Negative cost Edges are not allowed."));
final Map<Graph.Vertex<Integer>, List<Graph.Edge<Integer>>> paths = new HashMap<Graph.Vertex<Integer>, List<Graph.Edge<Integer>>>();
final Map<Graph.Vertex<Integer>, Graph.CostVertexPair<Integer>> costs = new HashMap<Graph.Vertex<Integer>, Graph.CostVertexPair<Integer>>();
return getShortestPath(graph, start, end, paths, costs);
}
private static Graph.CostPathPair<Integer> getShortestPath(Graph<Integer> graph,
Graph.Vertex<Integer> start, Graph.Vertex<Integer> end,
Map<Graph.Vertex<Integer>, List<Graph.Edge<Integer>>> paths,
Map<Graph.Vertex<Integer>, Graph.CostVertexPair<Integer>> costs) {
if (graph == null)
throw (new NullPointerException("Graph must be non-NULL."));
if (start == null)
throw (new NullPointerException("start must be non-NULL."));
// Dijkstra's algorithm only works on positive cost graphs
boolean hasNegativeEdge = checkForNegativeEdges(graph.getVertices());
if (hasNegativeEdge)
throw (new IllegalArgumentException("Negative cost Edges are not allowed."));
for (Graph.Vertex<Integer> v : graph.getVertices())
paths.put(v, new ArrayList<Graph.Edge<Integer>>());
for (Graph.Vertex<Integer> v : graph.getVertices()) {
if (v.equals(start))
costs.put(v, new Graph.CostVertexPair<Integer>(0, v));
else
costs.put(v, new Graph.CostVertexPair<Integer>(Integer.MAX_VALUE, v));
}
final Queue<Graph.CostVertexPair<Integer>> unvisited = new PriorityQueue<Graph.CostVertexPair<Integer>>();
unvisited.add(costs.get(start));
while (!unvisited.isEmpty()) {
final Graph.CostVertexPair<Integer> pair = unvisited.remove();
final Graph.Vertex<Integer> vertex = pair.getVertex();
// Compute costs from current vertex to all reachable vertices which haven't been visited
for (Graph.Edge<Integer> e : vertex.getEdges()) {
final Graph.CostVertexPair<Integer> toPair = costs.get(e.getToVertex()); // O(1)
final Graph.CostVertexPair<Integer> lowestCostToThisVertex = costs.get(vertex); // O(1)
final int cost = lowestCostToThisVertex.getCost() + e.getCost();
if (toPair.getCost() == Integer.MAX_VALUE) {
// Haven't seen this vertex yet
// Need to remove the pair and re-insert, so the priority queue keeps it's invariants
unvisited.remove(toPair); // O(n)
toPair.setCost(cost);
unvisited.add(toPair); // O(log n)
// Update the paths
List<Graph.Edge<Integer>> set = paths.get(e.getToVertex()); // O(log n)
set.addAll(paths.get(e.getFromVertex())); // O(log n)
set.add(e);
} else if (cost < toPair.getCost()) {
// Found a shorter path to a reachable vertex
// Need to remove the pair and re-insert, so the priority queue keeps it's invariants
unvisited.remove(toPair); // O(n)
toPair.setCost(cost);
unvisited.add(toPair); // O(log n)
// Update the paths
List<Graph.Edge<Integer>> set = paths.get(e.getToVertex()); // O(log n)
set.clear();
set.addAll(paths.get(e.getFromVertex())); // O(log n)
set.add(e);
}
}
// Termination conditions
if (end != null && vertex.equals(end)) {
// We are looking for shortest path to a specific vertex, we found it.
break;
}
}
if (end != null) {
final Graph.CostVertexPair<Integer> pair = costs.get(end);
final List<Graph.Edge<Integer>> set = paths.get(end);
return (new Graph.CostPathPair<Integer>(pair.getCost(), set));
}
return null;
}
private static boolean checkForNegativeEdges(Collection<Graph.Vertex<Integer>> vertitices) {
for (Graph.Vertex<Integer> v : vertitices) {
for (Graph.Edge<Integer> e : v.getEdges()) {
if (e.getCost() < 0)
return true;
}
}
return false;
}
}