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