这个题是从左上角到右下角的路径和最小,实际就是一道dp题. 第一种写法是只初始化(0,0)位置,第二种写法则是把第一行.第一列都初始化了.个人更喜欢第二种写法,简单一点. dp的右下角的值就为最终的值 第一种写法: class Solution { public: int minPathSum(vector<vector<int>>& grid) { int rows = grid.size(); ) ; ].size(); ) ; vector<vector<…

给定一个包含非负整数的 m x n 网格,请找出一条从左上角到右下角的路径,使得路径上的数字总和为最小. 说明:每次只能向下或者向右移动一步. 示例: 输入: [   [1,3,1], [1,5,1], [4,2,1] ] 输出: 7 解释: 因为路径 1→3→1→1→1 的总和最小. 这题因为限制了只能往下或者往右走一步,所以可以从0开始从上往下遍历,其他类型的题或许就要从最大的开始遍历等等. class Solution { public: int minPathSum(vector<vec…

Minimum Path Sum Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path. Note: You can only move either down or right at any point in time.   动态规划即可,与Unique…

题目描述: 题目链接:64 Minimum Path Sum 问题是要求在一个全为正整数的 m X n 的矩阵中, 取一条从左上为起点, 走到右下为重点的路径, (前进方向只能向左或者向右),求一条所经过元素和最小的一条路径. 其实,题目已经给出了提示:, 动态规划应该是最直接的解法之一. 这边我们了解到, 问题中只允许走到的每个点右移或者下移,这就意味着从起点开始, 都有两种后继路径(最后一行和最后一列除外),以此类推, 得到所有路径,然后取其中路径和虽小的值,就可以得到结果了. 但是!我们仔…

Minimum Path Sum Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path. Note: You can only move either down or right at any point in time. 还是DP问题,给定一个m*n的二…

之所以将这三道题放在一起,是因为这三道题非常类似. 1. Minimum Path Sum 题目链接 题目要求: Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path. Note: You can only move either down or righ…

Minimum Path Sum Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path. Note: You can only move either down or right at any point in time. SOLUTION 1: 相当基础…

Unique Paths https://oj.leetcode.com/problems/unique-paths/ A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below). The robot can only move either down or right at any point in time. The robot is trying to rea…

Minimum Path Sum Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which minimizes the sum of all numbers along its path. Note: You can only move either down or right at any point in time. 解题思路: 典型的动态规划.开辟…

引言 二维动态规划中最常见的是棋盘型二维动态规划. 即 func(i, j) 往往只和 func(i-1, j-1), func(i-1, j) 以及 func(i, j-1) 有关 这种情况下,时间复杂度 O(n*n),空间复杂度往往可以优化为O(n) 例题  1 Minimum Path Sum  Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right whi…