1168. Optimize Water Distribution in a Village
There are n
houses in a village. We want to supply water for all the houses by building wells and laying pipes.
For each house i
, we can either build a well inside it directly with cost wells[i - 1]
(note the -1
due to 0-indexing), or pipe in water from another well to it. The costs to lay pipes between houses are given by the array pipes
where each pipes[j] = [house1j, house2j, costj]
represents the cost to connect house1j
and house2j
together using a pipe. Connections are bidirectional, and there could be multiple valid connections between the same two houses with different costs.
Return the minimum total cost to supply water to all houses.
Example 1:
Input: n = 3, wells = [1,2,2], pipes = [[1,2,1],[2,3,1]]
Output: 3
Explanation: The image shows the costs of connecting houses using pipes.
The best strategy is to build a well in the first house with cost 1 and connect the other houses to it with cost 2 so the total cost is 3.
Example 2:
Input: n = 2, wells = [1,1], pipes = [[1,2,1],[1,2,2]]
Output: 2
Explanation: We can supply water with cost two using one of the three options:
Option 1:
- Build a well inside house 1 with cost 1.
- Build a well inside house 2 with cost 1.
The total cost will be 2.
Option 2:
- Build a well inside house 1 with cost 1.
- Connect house 2 with house 1 with cost 1.
The total cost will be 2.
Option 3:
- Build a well inside house 2 with cost 1.
- Connect house 1 with house 2 with cost 1.
The total cost will be 2.
Note that we can connect houses 1 and 2 with cost 1 or with cost 2 but we will always choose the cheapest option.
Constraints:
2 <= n <= 104
wells.length == n
0 <= wells[i] <= 105
1 <= pipes.length <= 104
pipes[j].length == 3
1 <= house1j, house2j <= n
0 <= costj <= 105
house1j != house2j
Solution:
class Solution {
public int minCostToSupplyWater(int n, int[] wells, int[][] pipes) {
// List to store all edge
List<int[]> edges = new ArrayList<>();
// Add well costs as edges from virtal ndoe 0 to each house
for (int i = 0; i < wells.length; i++){
edges.add(new int[]{0, i + 1, wells[i]});
// [0, 1, 1]
// [0, 2, 2]
// [0, 3, 2]
}
// Add pipes as edge between houses
for (int[] pipe : pipes){
edges.add(pipe);
}
// Sort all edges by cost in ascending order
edges.sort((a,b) -> (a[2] - b[2]));
// Initialize Union-Find with n + 1 ndoes(including the virtual node 0)
UnionFind uf = new UnionFind(n + 1);
int totalCost = 0;
// Process each edge in ascending order of cost
for (int[] edge : edges){
int house1 = edge[0];
int house2 = edge[1];
int cost = edge[2];
// Only add the edge if it connects two unconnected componets
if (uf.isC(house1, house2) == false){
uf.union(house1, house2);
totalCost += cost;
}
}
return totalCost;
}
}
class UnionFind{
int[] root;
int[] rank;
public UnionFind(int n){
root = new int[n];
rank = new int[n];
for (int i = 0; i < n; i++){
root[i] = i;
rank[i] = 1;
}
}
public int find(int x){
while(x != root[x]){
x = root[x];
}
return x;
}
public void union(int x, int y){
int rootX = find(x);
int rootY = find(y);
if (rank[rootX] < rank[rootY]){
root[rootX] = rootY;
}else if (rank[rootX] > rank[rootY]){
root[rootY] = rootX;
}else{
root[rootY] = rootX;
rank[rootX]++;
}
}
public boolean isC(int x, int y){
return find(x) == find(y);
}
}
//TC: O((n+m)log(n+m)) // The number of edges is E = n + m
//SC: O(n+m)