817. Linked List Components
package LeetCode_817 /** * 817. Linked List Components * https://leetcode.com/problems/linked-list-components/ * You are given the head of a linked list containing unique integer values and an integer array nums that is a subset of the linked list values. Return the number of connected components in nums where two values are connected if they appear consecutively in the linked list. Example 1: Input: head = [0,1,2,3], nums = [0,1,3] Output: 2 Explanation: 0 and 1 are connected, so [0, 1] and [3] are the two connected components. Example 2: Input: head = [0,1,2,3,4], nums = [0,3,1,4] Output: 2 Explanation: 0 and 1 are connected, 3 and 4 are connected, so [0, 1] and [3, 4] are the two connected components. Constraints: The number of nodes in the linked list is n. 1 <= n <= 10^4 0 <= Node.val < n All the values Node.val are unique. 1 <= nums.length <= n 0 <= nums[i] < n All the values of nums are unique. * */ //Definition for singly-linked list. class ListNode(var `val`: Int) { var next: ListNode? = null } class Solution { /** * Solution: Build graph + DFS to find out connected components; * Time complexity:O(n), Space complexity:O(n); * */ fun numComponents(head: ListNode?, G: IntArray): Int { //1. build undirected graph by ListNode, u->v, if both u,v in G var head_ = head val graph = HashMap<Int, ArrayList<Int>>() while (head_?.next != null) { val u = head_.`val` val v = head_.next?.`val` ?: -1 if (G.contains(u) && v != -1 && G.contains(v)) { graph.putIfAbsent(u, ArrayList()) graph.putIfAbsent(v, ArrayList()) graph.get(u)?.add(v) graph.get(v)?.add(u) } head_ = head_.next } var result = 0 val visited = HashSet<Int>() //2. the count of connected components is the use times of DFS, // because after DFS all node will be traversed, so result++. for (item in G) { if (visited.contains(item)) { continue } dfs(item, graph, visited) result++ } return result } private fun dfs(current: Int, graph: HashMap<Int, ArrayList<Int>>, visited: HashSet<Int>) { if (visited.contains(current)) { return } visited.add(current) if (graph.get(current) != null) { for (next in graph.get(current)!!) { dfs(next, graph, visited) } } } }
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· DeepSeek 开源周回顾「GitHub 热点速览」
· 物流快递公司核心技术能力-地址解析分单基础技术分享
· .NET 10首个预览版发布:重大改进与新特性概览!
· AI与.NET技术实操系列(二):开始使用ML.NET
· .NET10 - 预览版1新功能体验(一)