參考:
https://www.youtube.com/watch?v=ypE6a1Kk-6Q&list=PLe68gYG2zUeVNPEr9XPqeejGHihtQD6tl&index=31&t=0s
https://leetcode.com/discuss/general-discussion/655708/graph-for-beginners-problems-pattern-sample-solutions/562734
1. 問題分類
- 單源最短路徑問題:從某固定源點(diǎn)出發(fā),求其到所有其他頂點(diǎn)的最短路徑
- 多源最短路徑問題:求任意兩頂點(diǎn)間的最短路徑。
2. 無權(quán)圖的單源最短路算法
-
按照遞增(非遞減)的順序找出到各個(gè)頂點(diǎn)的最短路
頂點(diǎn)是一個(gè)一個(gè)的收羅進(jìn)來的,順序是從v3開始,其實(shí)就是BFS
dist[W] = S到W的最短距離;
dist[S] = 0;
path[W] = S到W的路上經(jīng)過的某頂點(diǎn);
void Unweighted(Vertex S)
{
Enqueue(S, Q);
while(!IsEmpty(Q)){
V = Dequeue(Q);
for(V 的每個(gè)鄰接點(diǎn) W){
if(dist[W] == -1){
dist[W] = dist[V] +1; // W的最短路徑是V的最短路徑+1
path[W] = V;
Enqueue(W, Q);
}
}
}
}

3. 有權(quán)圖的單源最短路算法(Dijkstra算法)
不考慮負(fù)值圈問題

Dijkstra算法流程:

void Dijkstra(Vertex s){
while(1){
V = 未收錄頂點(diǎn)中dist最小者;
if(這樣的V不存在)
break;
collected[V] = true;
for(V 的每個(gè)鄰接點(diǎn) W){
if(collectd[W] == false){
// 如果W的現(xiàn)在最短距離小于上一節(jié)點(diǎn)V+VW之間的距離,那么W的最短距離就被更新!
if(dist[V] + E<V,W> < dist[W]){
dist[W] = dist[V] + E<V,W>;
path[W] = V;
}
}
}
}
}
動(dòng)圖演示:

原點(diǎn)的dist為0,并且與原點(diǎn)相連的節(jié)點(diǎn)的dist為權(quán)值。


選擇V2,V2指向V4(但是V4已經(jīng)訪問了),剩下的是V5(保持V5原來的路徑不變)

從V3到V6的距離小于之前的V4到V6的距離


從V7到V6是更短的路徑,所以V6的最短距離


4. leetcode 743. Network Delay Time
https://leetcode.com/problems/network-delay-time/
使用優(yōu)先隊(duì)列來存儲(chǔ)pair<int, int> (dist[V], V),按照距離來升序;
class Solution {
public:
int networkDelayTime(vector<vector<int>>& times, int N, int K) {
vector<vector<pair<int, int>> > graph(N+1);
for(int i=0; i<times.size(); ++i){
pair<int, int> p(times[i][1], times[i][2]);
int idx = times[i][0];
graph[idx].push_back(p);
}
vector<int> dist(N+1, INT_MAX);
dist[K] = 0;
priority_queue<pair<int, int>, vector<pair<int, int>>, greater<pair<int,int>> > pq;
pq.push(make_pair(0, K));
while(!pq.empty()){
pair<int, int> p;
p = pq.top();
pq.pop();
int u = p.second;
for(auto it = graph[u].begin(); it != graph[u].end(); ++it){
int v = it->first;
int w = it->second;
if(dist[v] > dist[u] + w){
dist[v] = dist[u] + w;
pq.push(make_pair(dist[v], v));
}
}
}
int res = 0;
for(int i=1; i<N+1; ++i){
res = max(res, dist[i]);
}
return res == INT_MAX ? -1 : res;
}
};
5. Leetcode 1631. Path With Minimum Effort
https://leetcode.com/problems/path-with-minimum-effort/
關(guān)鍵在于diff,將diff和對應(yīng)的坐標(biāo)放入到優(yōu)先隊(duì)列中,按照diff升序排列,每次pop出diff最小的坐標(biāo),再遍歷上下左右位置,將effort輸入。
class Solution {
public:
typedef pair<int, pair<int,int> > PIP;
int dx[4] = {1, -1, 0, 0};
int dy[4] = {0, 0, 1, -1};
int minimumEffortPath(vector<vector<int>>& heights) {
int rows = heights.size(), cols = heights[0].size();
vector<vector<int>> visited(rows, vector<int>(cols, 0));
visited[0][0] = 1;
priority_queue<PIP, vector<PIP>, greater<PIP>> pq;
pq.push(make_pair(0, make_pair(0,0)));
int diff = 0;
while(!pq.empty()){
PIP h = pq.top();
pq.pop();
int x = h.second.first;
int y = h.second.second;
visited[x][y] = 1;
diff = max(diff, h.first);
cout << x << " " << y << " " << diff << endl;
if(x == rows-1 && y == cols-1)
return diff;
for(int i=0; i<4; ++i){
int nx = x + dx[i];
int ny = y + dy[i];
if(nx >= 0 && nx < rows && ny >= 0 && ny < cols && visited[nx][ny] != 1) {
pq.push(make_pair(abs(heights[nx][ny] - heights[x][y]), make_pair(nx, ny)));
}
}
}
return 0;
}
};
