• LeetCode-882. Reachable Nodes In Subdivided Graph [C++][Java]


    LeetCode-882. Reachable Nodes In Subdivided GraphLevel up your coding skills and quickly land a job. This is the best place to expand your knowledge and get prepared for your next interview.https://leetcode.com/problems/reachable-nodes-in-subdivided-graph/

    You are given an undirected graph (the "original graph") with n nodes labeled from 0 to n - 1. You decide to subdivide each edge in the graph into a chain of nodes, with the number of new nodes varying between each edge.

    The graph is given as a 2D array of edges where edges[i] = [ui, vi, cnti] indicates that there is an edge between nodes ui and vi in the original graph, and cnti is the total number of new nodes that you will subdivide the edge into. Note that cnti == 0 means you will not subdivide the edge.

    To subdivide the edge [ui, vi], replace it with (cnti + 1) new edges and cnti new nodes. The new nodes are x1x2, ..., xcnti, and the new edges are [ui, x1][x1, x2][x2, x3], ..., [xcnti-1, xcnti][xcnti, vi].

    In this new graph, you want to know how many nodes are reachable from the node 0, where a node is reachable if the distance is maxMoves or less.

    Given the original graph and maxMoves, return the number of nodes that are reachable from node 0 in the new graph.

    Example 1:

    Input: edges = [[0,1,10],[0,2,1],[1,2,2]], maxMoves = 6, n = 3
    Output: 13
    Explanation: The edge subdivisions are shown in the image above.
    The nodes that are reachable are highlighted in yellow.
    

    Example 2:

    Input: edges = [[0,1,4],[1,2,6],[0,2,8],[1,3,1]], maxMoves = 10, n = 4
    Output: 23
    

    Example 3:

    Input: edges = [[1,2,4],[1,4,5],[1,3,1],[2,3,4],[3,4,5]], maxMoves = 17, n = 5
    Output: 1
    Explanation: Node 0 is disconnected from the rest of the graph, so only node 0 is reachable.
    

    Constraints:

    • 0 <= edges.length <= min(n * (n - 1) / 2, 10^4)
    • edges[i].length == 3
    • 0 <= ui < vi < n
    • There are no multiple edges in the graph.
    • 0 <= cnti <= 10^4
    • 0 <= maxMoves <= 10^9
    • 1 <= n <= 3000

    【C++】

    1. class Solution {
    2. public:
    3. struct greater{
    4. bool operator()(pair<int, int> const& l, pair<int, int> const& r){
    5. return l.second < r.second;
    6. }
    7. };
    8. int reachableNodes(vectorint>>& edges, int maxMoves, int n) {
    9. int res = 0;
    10. unordered_map<int, unordered_map<int, int>> graph;
    11. vector<bool> visited(n);
    12. priority_queueint, int>, vectorint, int>>, greater> tracks;
    13. tracks.push({0, maxMoves});
    14. for (auto &edge : edges) {
    15. graph[edge[0]][edge[1]] = edge[2];
    16. graph[edge[1]][edge[0]] = edge[2];
    17. }
    18. while (!tracks.empty()) {
    19. auto t= tracks.top();
    20. tracks.pop();
    21. int cur = t.first;
    22. int move = t.second;
    23. if (visited[cur]) {continue;}
    24. visited[cur] = true;
    25. ++res;
    26. for (auto &next : graph[cur]) {
    27. if (move > next.second && !visited[next.first]) {
    28. tracks.push({next.first, move - next.second - 1});
    29. }
    30. int subNodes = min(move, next.second);
    31. graph[next.first][cur] -= subNodes ;
    32. res += subNodes ;
    33. }
    34. }
    35. return res;
    36. }
    37. };

    【Java】

    1. class Solution {
    2. public int reachableNodes(int[][] edges, int maxMoves, int n) {
    3. int res = 0;
    4. boolean[] visited = new boolean[n];
    5. Arrays.fill(visited, false);
    6. HashMap> graph = new HashMap<>();
    7. for (int i = 0; i < n; i++) {
    8. graph.put(i, new HashMap<>());
    9. }
    10. for (int[] edge : edges) {
    11. graph.get(edge[0]).put(edge[1], edge[2]);
    12. graph.get(edge[1]).put(edge[0], edge[2]);
    13. }
    14. PriorityQueue<int[]> tracks = new PriorityQueue<>((a,b)->(b[1]-a[1]));
    15. tracks.offer(new int[]{0, maxMoves});
    16. while (!tracks.isEmpty()) {
    17. int[] track = tracks.poll();
    18. int cur = track[0];
    19. int move = track[1];
    20. if (visited[cur]) {
    21. continue;
    22. }
    23. visited[cur] = true;
    24. ++res;
    25. HashMap nexts = graph.get(cur);
    26. for (int next : nexts.keySet()) {
    27. if (move > nexts.get(next) && !visited[next]) {
    28. int remain = move - nexts.get(next) - 1;
    29. tracks.offer(new int[]{next, remain});
    30. }
    31. int subMoves = Math.min(move, nexts.get(next));
    32. res += subMoves;
    33. int remainMove = graph.get(next).get(cur) - subMoves;
    34. graph.get(next).put(cur, remainMove);
    35. }
    36. }
    37. return res;
    38. }
    39. }

  • 相关阅读:
    什么是自动化测试框架?常用的自动化测试框架有哪些?
    死锁问题概述
    《Python+Kivy(App开发)从入门到实践》自学笔记:简单UX部件——Video视频
    基于SSM的旅游网站系统
    Unity UI Toolkit学习笔记-Runtime UI 案例实践
    高危漏洞分析|CVE-2022-42920 Apache Commons BCEL 越界写漏洞
    Spring注解
    【元宇宙】NFT ,数字货币的未来
    [数据集][目标检测]裸土识别裸土未覆盖目标检测数据集VOC格式857张2类别
    Facebook个人主页和公共主页的区别
  • 原文地址:https://blog.csdn.net/qq_15711195/article/details/126455402