Medium
Shortest Distance After Road Addition Queries I — C++
Full explanation · Time O(n^2) · Space O(n^2)
// Time: O(n^2)
// Space: O(n^2)
// bfs
class Solution {
public:
vector<int> shortestDistanceAfterQueries(int n, vector<vector<int>>& queries) {
vector<vector<int>> adj(n);
for (int u = 0; u + 1 < n; ++u) {
adj[u].emplace_back(u + 1);
}
vector<int> dist(n);
iota(begin(dist), end(dist), 0);
const auto& bfs = [&](int u, int v) {
adj[u].emplace_back(v);
vector<int> q = {u};
while (!empty(q)) {
vector<int> new_q;
for (const auto& u : q) {
for (const auto& v : adj[u]) {
if (dist[u] + 1 >= dist[v]) {
continue;
}
dist[v] = dist[u] + 1;
new_q.emplace_back(v);
}
}
q = move(new_q);
}
return dist[n - 1];
};
vector<int> result;
result.reserve(n);
for (const auto& q : queries) {
result.emplace_back(bfs(q[0], q[1]));
}
return result;
}
};
// Time: O(n^2 * logn)
// Space: O(n^2)
// dijkstra's algorithm
class Solution2 {
public:
vector<int> shortestDistanceAfterQueries(int n, vector<vector<int>>& queries) {
vector<vector<pair<int, int>>> adj(n);
for (int u = 0; u + 1 < n; ++u) {
adj[u].emplace_back(u + 1, 1);
}
vector<int> dist(n);
iota(begin(dist), end(dist), 0);
const auto& dijkstra = [&](int u, int v) {
adj[u].emplace_back(v, 1);
priority_queue<pair<int, int>, vector<pair<int, int>>, greater<pair<int, int>>> min_heap;
min_heap.emplace(dist[u], u);
while (!empty(min_heap)) {
const auto [curr, u] = min_heap.top(); min_heap.pop();
if (curr > dist[u]) {
continue;
}
for (const auto& [v, w] : adj[u]) {
if (curr + w >= dist[v]) {
continue;
}
dist[v] = curr + w;
min_heap.emplace(dist[v], v);
}
}
return dist[n - 1];
};
vector<int> result;
result.reserve(n);
for (const auto& q : queries) {
result.emplace_back(dijkstra(q[0], q[1]));
}
return result;
}
};