LeetCode 378, Medium. Topics: Array, Binary Search, Sorting, Heap (Priority Queue), Matrix. View on LeetCode.
Generate this problem as a practice environment: tested reference solution, 33 parametrized pytest cases, and a playground notebook:
Problem
Given an n x n matrix where each of the rows and columns is sorted in ascending order, return the kth smallest element in the matrix.
Note that it is the kth smallest element in the sorted order, not the kth distinct element.
You must find a solution with a memory complexity better than O(n2).
Examples
Constraints
- n == matrix.length == matrix[i].length
- 1 <= n <= 300
- -10^9 <= matrix[i][j] <= 10^9
- All the rows and columns of matrix are guaranteed to be sorted in non-decreasing order.
- 1 <= k <= n2
Follow up:
- Could you solve the problem with a constant memory (i.e., O(1) memory complexity)?
- Could you solve the problem in O(n) time complexity?
Solution
Reference implementation from solution.py on GitHub, full suite in test_solution.py:
Complexity
Last modified on September 7, 2026