gCampus

Given a bidirectional graph, you are asked to find those edges that is not on the shortest path of every pairs of nodes. The key problem is how to find all edges on the shortest path and there maybe two shortest path between a pair of node so we must find both.

The solution to this problem is for each node, we pick it as the start point and perform dijkstra algorithm to find the shortest path from this point to all other points. Then we perform a depth first search on the graph to find all edges on the shortest path. Let dist[i] denotes length of shortest path from start point s to i, an edge (u, v, cost) is on one of shortest paths if and only if dist[u] + cost = dist[v].

We run dijkstra algorithm nth instead of using Floyd algorithm as it may cost too much time on large case.

import java.io.*;
import java.util.*;

class Edge implements Comparable<Edge> {
int u;
int v;
long cost;
int id;

public Edge(int u, int v, long cost, int id) {
this.u = u;
this.v = v;
this.cost = cost;
this.id = id;
}

public int compareTo(Edge b) {
if (this.cost - b.cost > 0) return 1;
else if (this.cost - b.cost < 0) return -1;
else return 0;
}
}

public class GCampus {
private static void restorePath(long[] dist, int s, List<List<Edge>> graph, Set<Integer> res) {
List<Edge> edges = graph.get(s);
for (Edge e : edges) {
if (dist[s] + e.cost == dist[e.v]) {
restorePath(dist, e.v, graph, res);
}
}
}
private static HashSet<Integer> dijkstra(int N, int s, List<List<Edge>> graph) {
long[] dist = new long[N];
Arrays.fill(dist, Integer.MAX_VALUE);
dist[s] = 0;

PriorityQueue<Edge> que = new PriorityQueue<Edge>();
que.offer(new Edge(s, s, 0, -1));

while (!que.isEmpty()) {
Edge p = que.poll();
if (dist[p.u] < p.cost) continue;

for (Edge e : graph.get(p.u)) {
if (dist[e.v] > (p.cost + e.cost)) {
dist[e.v] = p.cost + e.cost;
que.offer(new Edge(e.v, s, dist[e.v], -1));
}
}
}

HashSet<Integer> set = new HashSet<Integer>();
restorePath(dist, s, graph, set);
return set;
}
public static void main(String[] args) {
Scanner in = new Scanner(System.in);
int T = in.nextInt();
for (int t = 0; t < T; t++) {
int N = in.nextInt(), M = in.nextInt();
ArrayList<List<Edge>> edges = new ArrayList<List<Edge>>(N);
HashSet<Integer> set = new HashSet<Integer>();
for (int m = 0; m < M; m++) {
}
for (int m = 0; m < M; m++) {
int a = in.nextInt(), b = in.nextInt(), c = in.nextInt();
edges.get(a).add(new Edge(a, b, c, m));
edges.get(b).add(new Edge(b, a, c, m));
}
for (int i = 0; i < N; i++) {
set.addAll( dijkstra(N, i, edges));
}
System.out.printf("Case #%d:\n", t + 1);
for (int i = 0; i < M; i++) {
if (!set.contains(i)) System.out.println(i);
}
}
}
}