Problem statement:
Given an m * n matrix M initialized with all 0‘s and several update operations.
Operations are represented by a 2D array, and each operation is represented by an array with two positive integers a and b, which means M[i][j] should be added by one for all 0 <= i < a and 0 <= j < b.
You need to count and return the number of maximum integers in the matrix after performing all the operations.
Example 1:
Input: m = 3, n = 3 operations = [[2,2],[3,3]] Output: 4 Explanation: Initially, M = [[0, 0, 0], [0, 0, 0], [0, 0, 0]] After performing [2,2], M = [[1, 1, 0], [1, 1, 0], [0, 0, 0]] After performing [3,3], M = [[2, 2, 1], [2, 2, 1], [1, 1, 1]] So the maximum integer in M is 2, and there are four of it in M. So return 4.
Note:
- The range of m and n is [1,40000].
- The range of a is [1,m], and the range of b is [1,n].
- The range of operations size won‘t exceed 10,000.
Solution:
This is the first question of leetcode weekly contest 34. Obviously, we should find the common area for all operations, which is enclosed by the min value in x/y axis. Like 221. Maximal Square.
NOTE: we should return m * n if the operation set is empty. The initialization of x_min/y_min is m/n.
Time complexity is O(n). n is the size of operation set.
class Solution { public: int maxCount(int m, int n, vector<vector<int>>& ops) { int x_min = m; int y_min = n; for(auto op : ops){ x_min = min(x_min, op[0]); y_min = min(y_min, op[1]); } return x_min * y_min; } };