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Formatted question description: https://leetcode.ca/all/2387.html

2387. Median of a Row Wise Sorted Matrix

Description

Given an m x n matrix grid containing an odd number of integers where each row is sorted in non-decreasing order, return the median of the matrix.

You must solve the problem in less than O(m * n) time complexity.

 

Example 1:

Input: grid = [[1,1,2],[2,3,3],[1,3,4]]
Output: 2
Explanation: The elements of the matrix in sorted order are 1,1,1,2,2,3,3,3,4. The median is 2.

Example 2:

Input: grid = [[1,1,3,3,4]]
Output: 3
Explanation: The elements of the matrix in sorted order are 1,1,3,3,4. The median is 3.

 

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 500
  • m and n are both odd.
  • 1 <= grid[i][j] <= 106
  • grid[i] is sorted in non-decreasing order.

Solutions

  • class Solution {
    private int[][] grid;

    public int matrixMedian(int[][] grid) {
        this.grid = grid;
        int m = grid.length, n = grid[0].length;
        int target = (m * n + 1) >> 1;
        int left = 0, right = 1000010;
        while (left < right) {
            int mid = (left + right) >> 1;
            if (count(mid) >= target) {
                right = mid;
            } else {
                left = mid + 1;
            }
        }
        return left;
    }

    private int count(int x) {
        int cnt = 0;
        for (var row : grid) {
            int left = 0, right = row.length;
            while (left < right) {
                int mid = (left + right) >> 1;
                if (row[mid] > x) {
                    right = mid;
                } else {
                    left = mid + 1;
                }
            }
            cnt += left;
        }
        return cnt;
    }
}

  • class Solution {
public:
    int matrixMedian(vector<vector<int>>& grid) {
        int m = grid.size(), n = grid[0].size();
        int left = 0, right = 1e6 + 1;
        int target = (m * n + 1) >> 1;
        auto count = [&](int x) {
            int cnt = 0;
            for (auto& row : grid) {
                cnt += (upper_bound(row.begin(), row.end(), x) - row.begin());
            }
            return cnt;
        };
        while (left < right) {
            int mid = (left + right) >> 1;
            if (count(mid) >= target) {
                right = mid;
            } else {
                left = mid + 1;
            }
        }
        return left;
    }
};

  • class Solution:
    def matrixMedian(self, grid: List[List[int]]) -> int:
        def count(x):
            return sum(bisect_right(row, x) for row in grid)

        m, n = len(grid), len(grid[0])
        target = (m * n + 1) >> 1
        return bisect_left(range(10**6 + 1), target, key=count)


  • func matrixMedian(grid [][]int) int {
	m, n := len(grid), len(grid[0])

	count := func(x int) int {
		cnt := 0
		for _, row := range grid {
			left, right := 0, n
			for left < right {
				mid := (left + right) >> 1
				if row[mid] > x {
					right = mid
				} else {
					left = mid + 1
				}
			}
			cnt += left
		}
		return cnt
	}
	left, right := 0, 1000010
	target := (m*n + 1) >> 1
	for left < right {
		mid := (left + right) >> 1
		if count(mid) >= target {
			right = mid
		} else {
			left = mid + 1
		}
	}
	return left
}

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