2013.12.22 04:30
Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:
- Integers in each row are sorted from left to right.
- The first integer of each row is greater than the last integer of the previous row.
For example,
Consider the following matrix:
[ [1, 3, 5, 7], [10, 11, 16, 20], [23, 30, 34, 50] ]
Given target = 3
, return true
.
Solution:
Since the m x n matrix is sorted, we can think of it as an m * n array. Binary search will solve the problem efficiently.
Time complexity is O(log2(m * n)), space complexity is O(1).
Accepted code:
1 // 1AC, yeah~ 2D-address mapping on an array, then done with binary search. 2 class Solution { 3 public: 4 bool searchMatrix(vector<vector<int> > &matrix, int target) { 5 // IMPORTANT: Please reset any member data you declared, as 6 // the same Solution instance will be reused for each test case. 7 int m, n; 8 int mn; 9 10 m = matrix.size(); 11 if(m <= 0){ 12 return false; 13 } 14 15 n = matrix[0].size(); 16 if(n <= 0){ 17 return false; 18 } 19 20 mn = m * n; 21 22 int left, mid, right; 23 left = 0; 24 right = mn - 1; 25 while(right >= left){ 26 mid = (left + right) / 2; 27 if(target > matrix[mid / n][mid % n]){ 28 left = mid + 1; 29 }else if(target < matrix[mid / n][mid % n]){ 30 right = mid - 1; 31 }else{ 32 return true; 33 } 34 } 35 36 return false; 37 } 38 };
【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
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· 探究高空视频全景AR技术的实现原理
· 理解Rust引用及其生命周期标识(上)
· 浏览器原生「磁吸」效果!Anchor Positioning 锚点定位神器解析
· 全程不用写代码,我用AI程序员写了一个飞机大战
· DeepSeek 开源周回顾「GitHub 热点速览」
· 记一次.NET内存居高不下排查解决与启示
· MongoDB 8.0这个新功能碉堡了,比商业数据库还牛
· .NET10 - 预览版1新功能体验(一)