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Java-based LeetCode algorithm problem solutions, regularly updated
package g1601_1700.s1627_graph_connectivity_with_threshold;
// #Hard #Array #Math #Union_Find #2022_04_18_Time_7_ms_(98.45%)_Space_75.7_MB_(97.93%)
import java.util.ArrayList;
import java.util.List;
public class Solution {
public List areConnected(int n, int threshold, int[][] queries) {
if (n < 1 || queries == null || queries.length == 0) {
return new ArrayList<>();
}
int i;
int j;
int k;
int x;
DisjointSetUnion set = new DisjointSetUnion(n + 1);
int edges = queries.length;
for (i = threshold + 1; i <= n; i++) {
k = n / i;
x = i;
for (j = 2; j <= k; j++) {
x = x + i;
set.union(i, x);
}
}
List result = new ArrayList<>(edges);
for (int[] query : queries) {
result.add(set.find(query[0]) == set.find(query[1]));
}
return result;
}
private static class DisjointSetUnion {
private final int[] rank;
private final int[] parent;
public DisjointSetUnion(int n) {
rank = new int[n];
parent = new int[n];
for (int i = 0; i < n; i++) {
this.rank[i] = 1;
this.parent[i] = i;
}
}
public int find(int u) {
int x = u;
while (x != parent[x]) {
x = parent[x];
}
parent[u] = x;
return x;
}
public void union(int u, int v) {
if (u != v) {
int x = find(u);
int y = find(v);
if (x != y) {
if (rank[x] > rank[y]) {
rank[x] += rank[y];
parent[y] = x;
} else {
rank[y] += rank[x];
parent[x] = y;
}
}
}
}
}
}