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310. Minimum Height Trees.cpp
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310. Minimum Height Trees.cpp
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/* From BF 1880ms to O(n) 35ms beats 99% */
// Solution 1. Brute Force, find the min height of starting from `root(i) = 0, 1, 2, ... n - 1` using BFS.
// Easy to understand but will obviously costs a lot of time.
class Solution {
public:
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
vector<int>res;
vector<vector<int>>graph(n);
// Build Graph
for(auto x: edges){
graph[x.first].push_back(x.second);
graph[x.second].push_back(x.first);
}
int minHeight = INT_MAX;
// BFS
for(int i = 0; i < n; i++){
if(graph[i].size() < 5 && n > 10000) continue; // Magic for passing the last TC.
vector<int>visited(n);
int height = 0;
deque<int>cur;
deque<int>sub;
cur.push_back(i);
while(!cur.empty() && height <= minHeight){
int node = cur.front();
cur.pop_front();
visited[node] = 1;
for(auto neigh: graph[node])
if(!visited[neigh]) sub.push_back(neigh);
if(cur.empty()){
height++;
swap(cur, sub);
}
}
if(height < minHeight){
res.clear();
minHeight = height;
res.push_back(i);
}
else if(minHeight == height) res.push_back(i);
}
return res;
}
};
// Solution 2.
/**
* After reviewing the BF solution, I realized that the Minimum Height Node is exactly the mid point of the longest path in the graph.
* (Or 2 nodes if length is even.)
* So, idea is that, we use 3 passes in total to found the longest path in the graph:
* 1. First pass, starting from any node, go as deep as we can until reach the leaf node `a`.
* 2. Second pass, starting from node `a`, go as deep as we can until reach the leaf node `b`.
* 3. The path between node `a` and `b` is the longest path of the graph, using DFS to find path `a` to `b`.
* Then we simply return the mid node(odd) / nodes(even) of the longest path.
* Time Complexity: O(n).
* Here is the code, 35ms beats 99.17%.
*/
class Solution {
public:
vector<int> findMinHeightTrees(int n, vector<pair<int, int>>& edges) {
vector<int>res;
vector<vector<int>>graph(n);
// Build Graph
for(auto x: edges){
graph[x.first].push_back(x.second);
graph[x.second].push_back(x.first);
}
int start = 0, end = 0;
// BFS
int root = 0;
for(int i = 0; i < 2; i++){
vector<int>visited(n);
deque<int>cur;
deque<int>sub;
cur.push_back(root);
while(!cur.empty()){
int node = cur.front();
cur.pop_front();
visited[node] = 1;
for(auto neigh: graph[node])
if(!visited[neigh]) sub.push_back(neigh);
if(sub.empty()){
root = node;
if(i == 0) start = root;
if(i == 1) end = root;
}
if(cur.empty()) swap(cur, sub);
}
}
// DFS
vector<int>vec;
vector<int>path;
vector<int>visited(n);
bool found = false;
DFS(graph, visited, start, end, vec, path, found);
if(path.size() % 2) res.push_back(path[path.size() / 2]);
else{
res.push_back(path[path.size() / 2]);
res.push_back(path[path.size() / 2 - 1]);
}
return res;
}
void DFS(vector<vector<int>>& graph, vector<int>& visited, int node, int dest, vector<int>& vec, vector<int>& path, bool& found){
if(visited[node]) return;
visited[node] = 1;
vec.push_back(node);
if(node == dest){
path = vec;
found = true;
return;
}
for(auto neigh: graph[node]){
DFS(graph, visited, neigh, dest, vec, path, found);
if(found) break;
}
vec.pop_back();
}
};