leetcode.cn 2025-04-04
🟡1123.lowest-common-ancestor-of-deepest-leaves
🏷️ Tags
#tree #depth_first_search #breadth_first_search #hash_table #binary_tree
🟡1123.lowest-common-ancestor-of-deepest-leaves
🏷️ Tags
#tree #depth_first_search #breadth_first_search #hash_table #binary_tree
Telegraph
lowest-common-ancestor-of-deepest-leaves
给你一个有根节点 root 的二叉树,返回它 最深的叶节点的最近公共祖先 。 回想一下:
leetcode.com 2025-04-04
🟡1123.lowest-common-ancestor-of-deepest-leaves
🏷️ Tags
#tree #depth_first_search #breadth_first_search #hash_table #binary_tree
🟡1123.lowest-common-ancestor-of-deepest-leaves
🏷️ Tags
#tree #depth_first_search #breadth_first_search #hash_table #binary_tree
Telegraph
lowest-common-ancestor-of-deepest-leaves
Given the root of a binary tree, return the lowest common ancestor of its deepest leaves. Recall that:
leetcode.cn 2025-05-28
🟡3372.maximize-the-number-of-target-nodes-after-connecting-trees-i
🏷️ Tags
#tree #depth_first_search #breadth_first_search
🟡3372.maximize-the-number-of-target-nodes-after-connecting-trees-i
🏷️ Tags
#tree #depth_first_search #breadth_first_search
Telegraph
maximize-the-number-of-target-nodes-after-connecting-trees-i
有两棵 无向 树,分别有 n 和 m 个树节点。两棵树中的节点编号分别为[0, n - 1] 和 [0, m - 1] 中的整数。 给你两个二维整数 edges1 和 edges2 ,长度分别为 n - 1 和 m - 1 ,其中 edges1[i] = [ai, bi] 表示第一棵树中节点 ai 和 bi 之间有一条边,edges2[i] = [ui, vi] 表示第二棵树中节点 ui 和 vi 之间有一条边。同时给你一个整数 k 。 如果节点 u 和节点 v 之间路径的边数小于等于 k ,那么我们称节点…
leetcode.com 2025-05-28
🟡3372.maximize-the-number-of-target-nodes-after-connecting-trees-i
🏷️ Tags
#tree #depth_first_search #breadth_first_search
🟡3372.maximize-the-number-of-target-nodes-after-connecting-trees-i
🏷️ Tags
#tree #depth_first_search #breadth_first_search
Telegraph
maximize-the-number-of-target-nodes-after-connecting-trees-i
There exist two undirected trees with n and m nodes, with distinct labels in ranges [0, n - 1] and [0, m - 1], respectively. You are given two 2D integer arrays edges1 and edges2 of lengths n - 1 and m - 1, respectively, where edges1[i] = [ai, bi] indicates…
leetcode.cn 2025-05-29
🔴3373.maximize-the-number-of-target-nodes-after-connecting-trees-ii
🏷️ Tags
#tree #depth_first_search #breadth_first_search
🔴3373.maximize-the-number-of-target-nodes-after-connecting-trees-ii
🏷️ Tags
#tree #depth_first_search #breadth_first_search
Telegraph
maximize-the-number-of-target-nodes-after-connecting-trees-ii
有两棵 无向 树,分别有 n 和 m 个树节点。两棵树中的节点编号分别为[0, n - 1] 和 [0, m - 1] 中的整数。 给你两个二维整数 edges1 和 edges2 ,长度分别为 n - 1 和 m - 1 ,其中 edges1[i] = [ai, bi] 表示第一棵树中节点 ai 和 bi 之间有一条边,edges2[i] = [ui, vi] 表示第二棵树中节点 ui 和 vi 之间有一条边。 如果节点 u 和节点 v 之间路径的边数是偶数,那么我们称节点 u 是节点 v 的 目标节…
leetcode.com 2025-05-29
🔴3373.maximize-the-number-of-target-nodes-after-connecting-trees-ii
🏷️ Tags
#tree #depth_first_search #breadth_first_search
🔴3373.maximize-the-number-of-target-nodes-after-connecting-trees-ii
🏷️ Tags
#tree #depth_first_search #breadth_first_search
Telegraph
maximize-the-number-of-target-nodes-after-connecting-trees-ii
There exist two undirected trees with n and m nodes, labeled from [0, n - 1] and [0, m - 1], respectively. You are given two 2D integer arrays edges1 and edges2 of lengths n - 1 and m - 1, respectively, where edges1[i] = [ai, bi] indicates that there is an…
leetcode.cn 2025-06-03
🔴1298.maximum-candies-you-can-get-from-boxes
🏷️ Tags
#breadth_first_search #graph #array
🔴1298.maximum-candies-you-can-get-from-boxes
🏷️ Tags
#breadth_first_search #graph #array
Telegraph
maximum-candies-you-can-get-from-boxes
给你 n 个盒子,每个盒子的格式为 [status, candies, keys, containedBoxes] ,其中:
leetcode.com 2025-06-03
🔴1298.maximum-candies-you-can-get-from-boxes
🏷️ Tags
#breadth_first_search #graph #array
🔴1298.maximum-candies-you-can-get-from-boxes
🏷️ Tags
#breadth_first_search #graph #array
Telegraph
maximum-candies-you-can-get-from-boxes
You have n boxes labeled from 0 to n - 1. You are given four arrays: status, candies, keys, and containedBoxes where:
leetcode.cn 2025-10-03
🔴407.trapping-rain-water-ii
🏷️ Tags
#breadth_first_search #array #matrix #heap_priority_queue
🔴407.trapping-rain-water-ii
🏷️ Tags
#breadth_first_search #array #matrix #heap_priority_queue
Telegraph
trapping-rain-water-ii
给你一个 m x n 的矩阵,其中的值均为非负整数,代表二维高度图每个单元的高度,请计算图中形状最多能接多少体积的雨水。 示例 1: 输入: heightMap = [[1,4,3,1,3,2],[3,2,1,3,2,4],[2,3,3,2,3,1]] 输出: 4 解释: 下雨后,雨水将会被上图蓝色的方块中。总的接雨水量为1+2+1=4。 示例 2: 输入: heightMap = [[3,3,3,3,3],[3,2,2,2,3],[3,2,1,2,3],[3,2,2,2,3],[3,3,3,3,3]]…
leetcode.com 2025-10-03
🔴407.trapping-rain-water-ii
🏷️ Tags
#breadth_first_search #array #matrix #heap_priority_queue
🔴407.trapping-rain-water-ii
🏷️ Tags
#breadth_first_search #array #matrix #heap_priority_queue
Telegraph
trapping-rain-water-ii
Given an m x n integer matrix heightMap representing the height of each unit cell in a 2D elevation map, return the volume of water it can trap after raining. Example 1: Input: heightMap = [[1,4,3,1,3,2],[3,2,1,3,2,4],[2,3,3,2,3,1]] Output: 4 Explanation:…
leetcode.cn 2025-10-05
🟡417.pacific-atlantic-water-flow
🏷️ Tags
#depth_first_search #breadth_first_search #array #matrix
🟡417.pacific-atlantic-water-flow
🏷️ Tags
#depth_first_search #breadth_first_search #array #matrix
Telegraph
pacific-atlantic-water-flow
有一个 m × n 的矩形岛屿,与 太平洋 和 大西洋 相邻。 “太平洋” 处于大陆的左边界和上边界,而 “大西洋” 处于大陆的右边界和下边界。 这个岛被分割成一个由若干方形单元格组成的网格。给定一个 m x n 的整数矩阵 heights , heights[r][c] 表示坐标 (r, c) 上单元格 高于海平面的高度 。 岛上雨水较多,如果相邻单元格的高度 小于或等于 当前单元格的高度,雨水可以直接向北、南、东、西流向相邻单元格。水可以从海洋附近的任何单元格流入海洋。 返回网格坐标 result 的…
leetcode.com 2025-10-05
🟡417.pacific-atlantic-water-flow
🏷️ Tags
#depth_first_search #breadth_first_search #array #matrix
🟡417.pacific-atlantic-water-flow
🏷️ Tags
#depth_first_search #breadth_first_search #array #matrix
Telegraph
pacific-atlantic-water-flow
There is an m x n rectangular island that borders both the Pacific Ocean and Atlantic Ocean. The Pacific Ocean touches the island's left and top edges, and the Atlantic Ocean touches the island's right and bottom edges. The island is partitioned into a grid…
leetcode.cn 2025-10-06
🔴778.swim-in-rising-water
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
🔴778.swim-in-rising-water
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
Telegraph
swim-in-rising-water
在一个 n x n 的整数矩阵 grid 中,每一个方格的值 grid[i][j] 表示位置 (i, j) 的平台高度。 当开始下雨时,在时间为 t 时,水池中的水位为 t 。你可以从一个平台游向四周相邻的任意一个平台,但是前提是此时水位必须同时淹没这两个平台。假定你可以瞬间移动无限距离,也就是默认在方格内部游动是不耗时的。当然,在你游泳的时候你必须待在坐标方格里面。 你从坐标方格的左上平台 (0,0) 出发。返回 你到达坐标方格的右下平台 (n-1, n-1) 所需的最少时间 。 示例 1: 输入:…
leetcode.com 2025-10-06
🔴778.swim-in-rising-water
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
🔴778.swim-in-rising-water
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
Telegraph
swim-in-rising-water
You are given an n x n integer matrix grid where each value grid[i][j] represents the elevation at that point (i, j). It starts raining, and water gradually rises over time. At time t, the water level is t, meaning any cell with elevation less than equal…
leetcode.cn 2025-10-19
🟡1625.lexicographically-smallest-string-after-applying-operations
🏷️ Tags
#depth_first_search #breadth_first_search #string #enumeration
🟡1625.lexicographically-smallest-string-after-applying-operations
🏷️ Tags
#depth_first_search #breadth_first_search #string #enumeration
Telegraph
lexicographically-smallest-string-after-applying-operations
给你一个字符串 s 以及两个整数 a 和 b 。其中,字符串 s 的长度为偶数,且仅由数字 0 到 9 组成。 你可以在 s 上按任意顺序多次执行下面两个操作之一:
leetcode.com 2025-10-19
🟡1625.lexicographically-smallest-string-after-applying-operations
🏷️ Tags
#depth_first_search #breadth_first_search #string #enumeration
🟡1625.lexicographically-smallest-string-after-applying-operations
🏷️ Tags
#depth_first_search #breadth_first_search #string #enumeration
Telegraph
lexicographically-smallest-string-after-applying-operations
You are given a string s of even length consisting of digits from 0 to 9, and two integers a and b. You can apply either of the following two operations any number of times and in any order on s:
leetcode.cn 2025-11-06
🟡3607.power-grid-maintenance
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #graph #array #hash_table #ordered_set #heap_priority_queue
🟡3607.power-grid-maintenance
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #graph #array #hash_table #ordered_set #heap_priority_queue
Telegraph
power-grid-maintenance
给你一个整数 c,表示 c 个电站,每个电站有一个唯一标识符 id,从 1 到 c 编号。 这些电站通过 n 条 双向 电缆互相连接,表示为一个二维数组 connections,其中每个元素 connections[i] = [ui, vi] 表示电站 ui 和电站 vi 之间的连接。直接或间接连接的电站组成了一个 电网 。 最初,所有 电站均处于在线(正常运行)状态。 另给你一个二维数组 queries,其中每个查询属于以下 两种类型之一 :
leetcode.com 2025-11-06
🟡3607.power-grid-maintenance
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #graph #array #hash_table #ordered_set #heap_priority_queue
🟡3607.power-grid-maintenance
🏷️ Tags
#depth_first_search #breadth_first_search #union_find #graph #array #hash_table #ordered_set #heap_priority_queue
Telegraph
power-grid-maintenance
You are given an integer c representing c power stations, each with a unique identifier id from 1 to c (1‑based indexing). These stations are interconnected via n bidirectional cables, represented by a 2D array connections, where each element connections[i]…