日韩性视频-久久久蜜桃-www中文字幕-在线中文字幕av-亚洲欧美一区二区三区四区-撸久久-香蕉视频一区-久久无码精品丰满人妻-国产高潮av-激情福利社-日韩av网址大全-国产精品久久999-日本五十路在线-性欧美在线-久久99精品波多结衣一区-男女午夜免费视频-黑人极品ⅴideos精品欧美棵-人人妻人人澡人人爽精品欧美一区-日韩一区在线看-欧美a级在线免费观看

歡迎訪問 生活随笔!

生活随笔

當前位置: 首頁 > 编程资源 > 编程问答 >内容正文

编程问答

LeetCode 1548. The Most Similar Path in a Graph(动态规划)

發布時間:2024/7/5 编程问答 28 豆豆
生活随笔 收集整理的這篇文章主要介紹了 LeetCode 1548. The Most Similar Path in a Graph(动态规划) 小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

文章目錄

    • 1. 題目
    • 2. 解題

1. 題目

We have n cities and m bi-directional roads where roads[i] = [ai, bi] connects city ai with city bi. Each city has a name consisting of exactly 3 upper-case English letters given in the string array names. Starting at any city x, you can reach any city y where y != x (i.e. the cities and the roads are forming an undirected connected graph).

You will be given a string array targetPath. You should find a path in the graph of the same length and with the minimum edit distance to targetPath.

You need to return the order of the nodes in the path with the minimum edit distance, The path should be of the same length of targetPath and should be valid (i.e. there should be a direct road between ans[i] and ans[i + 1]). If there are multiple answers return any one of them.

The edit distance is defined as follows:

Follow-up: If each node can be visited only once in the path, What should you change in your solution?

Example 1:

Input: n = 5, roads = [[0,2],[0,3],[1,2],[1,3],[1,4],[2,4]], names = ["ATL","PEK","LAX","DXB","HND"], targetPath = ["ATL","DXB","HND","LAX"] Output: [0,2,4,2] Explanation: [0,2,4,2], [0,3,0,2] and [0,3,1,2] are accepted answers. [0,2,4,2] is equivalent to ["ATL","LAX","HND","LAX"] which has edit distance = 1 with targetPath. [0,3,0,2] is equivalent to ["ATL","DXB","ATL","LAX"] which has edit distance = 1 with targetPath. [0,3,1,2] is equivalent to ["ATL","DXB","PEK","LAX"] which has edit distance = 1 with targetPath.

Example 2:

Input: n = 4, roads = [[1,0],[2,0],[3,0],[2,1],[3,1],[3,2]], names = ["ATL","PEK","LAX","DXB"], targetPath = ["ABC","DEF","GHI","JKL","MNO","PQR","STU","VWX"] Output: [0,1,0,1,0,1,0,1] Explanation: Any path in this graph has edit distance = 8 with targetPath.

Example 3:

Input: n = 6, roads = [[0,1],[1,2],[2,3],[3,4],[4,5]], names = ["ATL","PEK","LAX","ATL","DXB","HND"], targetPath = ["ATL","DXB","HND","DXB","ATL","LAX","PEK"] Output: [3,4,5,4,3,2,1] Explanation: [3,4,5,4,3,2,1] is the only path with edit distance = 0 with targetPath. It's equivalent to ["ATL","DXB","HND","DXB","ATL","LAX","PEK"]Constraints: 2 <= n <= 100 m == roads.length n - 1 <= m <= (n * (n - 1) / 2) 0 <= ai, bi <= n - 1 ai != bi The graph is guaranteed to be connected and each pair of nodes may have at most one direct road. names.length == n names[i].length == 3 names[i] consists of upper-case English letters. 1 <= targetPath.length <= 100 targetPath[i].length == 3 targetPath[i] consists of upper-case English letters.

來源:力扣(LeetCode)
鏈接:https://leetcode-cn.com/problems/the-most-similar-path-in-a-graph
著作權歸領扣網絡所有。商業轉載請聯系官方授權,非商業轉載請注明出處。

2. 解題

class Solution { public:vector<int> mostSimilar(int n, vector<vector<int>>& roads, vector<string>& names, vector<string>& targetPath) {vector<vector<int>> g(n);for(auto& r : roads){g[r[0]].push_back(r[1]);g[r[1]].push_back(r[0]);}//建圖int len = targetPath.size();vector<vector<int>> dp(len, vector<int>(n, INT_MAX));//走完 ?target后的 在城市 ni 的最小編輯距離vector<vector<int>> path1(n);//n個城市作為結束的最佳路線vector<vector<int>> path2(n);//存儲下一個狀態的路徑for(int i = 0; i < n; ++i)//初始化{dp[0][i] = (names[i] != targetPath[0]);path1[i].push_back(i);}int mindis = INT_MAX, minidx = -1;for(int k = 1; k < len; ++k){ //樣本維度for(int i = 0; i < n; ++i){ //前一個城市if(dp[k-1][i] == INT_MAX)continue;for(int j : g[i]){ //下一個相連的城市if(dp[k][j] > dp[k-1][i]+(names[j]!=targetPath[k])){dp[k][j] = dp[k-1][i]+(names[j]!=targetPath[k]);path2[j] = path1[i];path2[j].push_back(j);}}}swap(path1, path2);//滾動數組,更新當前的最佳路徑至path1}for(int i = 0; i < n; i++) {if(mindis > dp[len-1][i]){mindis = dp[len-1][i];minidx = i;}}//取編輯距離最小的城市編號return path1[minidx];//返回路徑} };

1260 ms 109.6 MB


我的CSDN博客地址 https://michael.blog.csdn.net/

長按或掃碼關注我的公眾號(Michael阿明),一起加油、一起學習進步!

創作挑戰賽新人創作獎勵來咯,堅持創作打卡瓜分現金大獎

總結

以上是生活随笔為你收集整理的LeetCode 1548. The Most Similar Path in a Graph(动态规划)的全部內容,希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯,歡迎將生活随笔推薦給好友。