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.
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.
Constraints:
1 <= 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
Companies:
Google, Facebook, Yahoo
Related Topics:
Union Find, Graph, Minimum Spanning Tree
// OJ: https://leetcode.com/problems/optimize-water-distribution-in-a-village/
// Author: github.com/lzl124631x
// Time: O(E + (V + E) * log(V + E))
// Space: O(E + V)
class Solution {
public:
int minCostToSupplyWater(int n, vector<int>& W, vector<vector<int>>& P) {
vector<vector<pair<int, int>>> G(n);
for (auto &p : P) {
int u = p[0] - 1, v = p[1] - 1, cost = p[2];
G[u].emplace_back(v, cost);
G[v].emplace_back(u, cost);
}
unordered_set<int> seen;
priority_queue<pair<int, int>, vector<pair<int, int>>, greater<>> pq; // cost, index
for (int i = 0; i < n; ++i) pq.emplace(W[i], i);
int ans = 0;
while (seen.size() < n) {
auto [cost, u] = pq.top();
pq.pop();
if (seen.count(u)) continue;
seen.insert(u);
ans += cost;
for (auto &[v, c] : G[u]) {
if (seen.count(v)) continue;
pq.emplace(c, v);
}
}
return ans;
}
};