leetcode.cn 2026-01-23
🔴3510.minimum-pair-removal-to-sort-array-ii
🏷️ Tags
#array #hash_table #linked_list #doubly_linked_list #ordered_set #simulation #heap_priority_queue
🔴3510.minimum-pair-removal-to-sort-array-ii
🏷️ Tags
#array #hash_table #linked_list #doubly_linked_list #ordered_set #simulation #heap_priority_queue
Telegraph
minimum-pair-removal-to-sort-array-ii
给你一个数组 nums,你可以执行以下操作任意次数:
leetcode.com 2026-01-23
🔴3510.minimum-pair-removal-to-sort-array-ii
🏷️ Tags
#array #hash_table #linked_list #doubly_linked_list #ordered_set #simulation #heap_priority_queue
🔴3510.minimum-pair-removal-to-sort-array-ii
🏷️ Tags
#array #hash_table #linked_list #doubly_linked_list #ordered_set #simulation #heap_priority_queue
Telegraph
minimum-pair-removal-to-sort-array-ii
Given an array nums, you can perform the following operation any number of times:
leetcode.cn 2026-01-27
🟡3650.minimum-cost-path-with-edge-reversals
🏷️ Tags
#graph #shortest_path #heap_priority_queue
🟡3650.minimum-cost-path-with-edge-reversals
🏷️ Tags
#graph #shortest_path #heap_priority_queue
Telegraph
minimum-cost-path-with-edge-reversals
给你一个包含 n 个节点的有向带权图,节点编号从 0 到 n - 1。同时给你一个数组 edges,其中 edges[i] = [ui, vi, wi] 表示一条从节点 ui 到节点 vi 的有向边,其成本为 wi。
leetcode.com 2026-01-27
🟡3650.minimum-cost-path-with-edge-reversals
🏷️ Tags
#graph #shortest_path #heap_priority_queue
🟡3650.minimum-cost-path-with-edge-reversals
🏷️ Tags
#graph #shortest_path #heap_priority_queue
Telegraph
minimum-cost-path-with-edge-reversals
You are given a directed, weighted graph with n nodes labeled from 0 to n - 1, and an array edges where edges[i] = [ui, vi, wi] represents a directed edge from node ui to node vi with cost wi. Each node ui has a switch that can be used at most once: when…
leetcode.cn 2026-02-02
🔴3013.divide-an-array-into-subarrays-with-minimum-cost-ii
🏷️ Tags
#array #hash_table #sliding_window #heap_priority_queue
🔴3013.divide-an-array-into-subarrays-with-minimum-cost-ii
🏷️ Tags
#array #hash_table #sliding_window #heap_priority_queue
Telegraph
divide-an-array-into-subarrays-with-minimum-cost-ii
给你一个下标从 0 开始长度为 n 的整数数组 nums 和两个 正 整数 k 和 dist 。 一个数组的 代价 是数组中的 第一个 元素。比方说,[1,2,3] 的代价为 1 ,[3,4,1] 的代价为 3 。 你需要将 nums 分割成 k 个 连续且互不相交 的子数组,满足 第二 个子数组与第 k 个子数组中第一个元素的下标距离 不超过 dist 。换句话说,如果你将 nums 分割成子数组 nums[0..(i1 - 1)], nums[i1..(i2 - 1)], ..., nums[ik-1..(n…
leetcode.com 2026-02-02
🔴3013.divide-an-array-into-subarrays-with-minimum-cost-ii
🏷️ Tags
#array #hash_table #sliding_window #heap_priority_queue
🔴3013.divide-an-array-into-subarrays-with-minimum-cost-ii
🏷️ Tags
#array #hash_table #sliding_window #heap_priority_queue
Telegraph
divide-an-array-into-subarrays-with-minimum-cost-ii
You are given a 0-indexed array of integers nums of length n, and two positive integers k and dist. The cost of an array is the value of its first element. For example, the cost of [1,2,3] is 1 while the cost of [3,4,1] is 3. You need to divide nums into…
leetcode.cn 2026-03-13
🟡3296.minimum-number-of-seconds-to-make-mountain-height-zero
🏷️ Tags
#greedy #array #math #binary_search #heap_priority_queue
🟡3296.minimum-number-of-seconds-to-make-mountain-height-zero
🏷️ Tags
#greedy #array #math #binary_search #heap_priority_queue
Telegraph
minimum-number-of-seconds-to-make-mountain-height-zero
给你一个整数 mountainHeight 表示山的高度。 同时给你一个整数数组 workerTimes,表示工人们的工作时间(单位:秒)。 工人们需要 同时 进行工作以 降低 山的高度。对于工人 i :
leetcode.com 2026-03-13
🟡3296.minimum-number-of-seconds-to-make-mountain-height-zero
🏷️ Tags
#greedy #array #math #binary_search #heap_priority_queue
🟡3296.minimum-number-of-seconds-to-make-mountain-height-zero
🏷️ Tags
#greedy #array #math #binary_search #heap_priority_queue
Telegraph
minimum-number-of-seconds-to-make-mountain-height-zero
You are given an integer mountainHeight denoting the height of a mountain. You are also given an integer array workerTimes representing the work time of workers in seconds. The workers work simultaneously to reduce the height of the mountain. For worker i:
leetcode.cn 2026-03-16
🟡1878.get-biggest-three-rhombus-sums-in-a-grid
🏷️ Tags
#array #math #matrix #prefix_sum #sorting #heap_priority_queue
🟡1878.get-biggest-three-rhombus-sums-in-a-grid
🏷️ Tags
#array #math #matrix #prefix_sum #sorting #heap_priority_queue
Telegraph
get-biggest-three-rhombus-sums-in-a-grid
给你一个 m x n 的整数矩阵 grid 。 菱形和 指的是 grid 中一个正菱形 边界 上的元素之和。本题中的菱形必须为正方形旋转45度,且四个角都在一个格子当中。下图是四个可行的菱形,每个菱形和应该包含的格子都用了相应颜色标注在图中。 注意,菱形可以是一个面积为 0 的区域,如上图中右下角的紫色菱形所示。 请你按照 降序 返回 grid 中三个最大的 互不相同的菱形和 。如果不同的和少于三个,则将它们全部返回。 示例 1: 输入:grid = [[3,4,5,1,3],[3,3,4,2,3]…
leetcode.com 2026-03-16
🟡1878.get-biggest-three-rhombus-sums-in-a-grid
🏷️ Tags
#array #math #matrix #prefix_sum #sorting #heap_priority_queue
🟡1878.get-biggest-three-rhombus-sums-in-a-grid
🏷️ Tags
#array #math #matrix #prefix_sum #sorting #heap_priority_queue
Telegraph
get-biggest-three-rhombus-sums-in-a-grid
You are given an m x n integer matrix grid. A rhombus sum is the sum of the elements that form the border of a regular rhombus shape in grid. The rhombus must have the shape of a square rotated 45 degrees with each of the corners centered in a grid…
leetcode.cn 2026-06-10
🔴3691.maximum-total-subarray-value-ii
🏷️ Tags
#greedy #segment_tree #array #heap_priority_queue
🔴3691.maximum-total-subarray-value-ii
🏷️ Tags
#greedy #segment_tree #array #heap_priority_queue
Telegraph
maximum-total-subarray-value-ii
给你一个长度为 n 的整数数组 nums 和一个整数 k。
leetcode.com 2026-06-10
🔴3691.maximum-total-subarray-value-ii
🏷️ Tags
#greedy #segment_tree #array #heap_priority_queue
🔴3691.maximum-total-subarray-value-ii
🏷️ Tags
#greedy #segment_tree #array #heap_priority_queue
Telegraph
maximum-total-subarray-value-ii
You are given an integer array nums of length n and an integer k. You must select exactly k distinct non-empty subarrays nums[l..r] of nums. Subarrays may overlap, but the exact same subarray (same l and r) cannot be chosen more than once. The value of a…
leetcode.cn 2026-07-01
🟡2812.find-the-safest-path-in-a-grid
🏷️ Tags
#breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
🟡2812.find-the-safest-path-in-a-grid
🏷️ Tags
#breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
Telegraph
find-the-safest-path-in-a-grid
给你一个下标从 0 开始、大小为 n x n 的二维矩阵 grid ,其中 (r, c) 表示:
leetcode.com 2026-07-01
🟡2812.find-the-safest-path-in-a-grid
🏷️ Tags
#breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
🟡2812.find-the-safest-path-in-a-grid
🏷️ Tags
#breadth_first_search #union_find #array #binary_search #matrix #heap_priority_queue
Telegraph
find-the-safest-path-in-a-grid
You are given a 0-indexed 2D matrix grid of size n x n, where (r, c) represents:
leetcode.cn 2026-07-02
🟡3286.find-a-safe-walk-through-a-grid
🏷️ Tags
#breadth_first_search #graph #array #matrix #shortest_path #heap_priority_queue
🟡3286.find-a-safe-walk-through-a-grid
🏷️ Tags
#breadth_first_search #graph #array #matrix #shortest_path #heap_priority_queue
Telegraph
find-a-safe-walk-through-a-grid
给你一个 m x n 的二进制矩形 grid 和一个整数 health 表示你的健康值。 你开始于矩形的左上角 (0, 0) ,你的目标是矩形的右下角 (m - 1, n - 1) 。 你可以在矩形中往上下左右相邻格子移动,但前提是你的健康值始终是 正数 。 对于格子 (i, j) ,如果 grid[i][j] = 1 ,那么这个格子视为 不安全 的,会使你的健康值减少 1 。 如果你可以到达最终的格子,请你返回 true ,否则返回 false 。 注意 ,当你在最终格子的时候,你的健康值也必须为 正数 。…
leetcode.com 2026-07-02
🟡3286.find-a-safe-walk-through-a-grid
🏷️ Tags
#breadth_first_search #graph #array #matrix #shortest_path #heap_priority_queue
🟡3286.find-a-safe-walk-through-a-grid
🏷️ Tags
#breadth_first_search #graph #array #matrix #shortest_path #heap_priority_queue
Telegraph
find-a-safe-walk-through-a-grid
You are given an m x n binary matrix grid and an integer health. You start on the upper-left corner (0, 0) and would like to get to the lower-right corner (m - 1, n - 1). You can move up, down, left, or right from one cell to another adjacent cell as long…
leetcode.cn 2026-07-03
🔴3620.network-recovery-pathways
🏷️ Tags
#graph #topological_sort #array #binary_search #dynamic_programming #shortest_path #heap_priority_queue
🔴3620.network-recovery-pathways
🏷️ Tags
#graph #topological_sort #array #binary_search #dynamic_programming #shortest_path #heap_priority_queue
Telegraph
network-recovery-pathways
给你一个包含 n 个节点(编号从 0 到 n - 1)的有向无环图。图由长度为 m 的二维数组 edges 表示,其中 edges[i] = [ui, vi, costi] 表示从节点 ui 到节点 vi 的单向通信,恢复成本为 costi。 一些节点可能处于离线状态。给定一个布尔数组 online,其中 online[i] = true 表示节点 i 在线。节点 0 和 n - 1 始终在线。 从 0 到 n - 1 的路径如果满足以下条件,那么它是 有效 的:
leetcode.com 2026-07-03
🔴3620.network-recovery-pathways
🏷️ Tags
#graph #topological_sort #array #binary_search #dynamic_programming #shortest_path #heap_priority_queue
🔴3620.network-recovery-pathways
🏷️ Tags
#graph #topological_sort #array #binary_search #dynamic_programming #shortest_path #heap_priority_queue
Telegraph
network-recovery-pathways
You are given a directed acyclic graph of n nodes numbered from 0 to n − 1. This is represented by a 2D array edges of length m, where edges[i] = [ui, vi, costi] indicates a one‑way communication from node ui to node vi with a recovery cost of costi. Some…