In this video, we solve the Kth Smallest Element in a Sorted Matrix problem using the powerful Binary Search on Answer technique.
Since the matrix is sorted row-wise and column-wise, a brute force or heap approach works — but there's a much more optimized way that top candidates use in interviews!
💡 What you'll learn:
Brute force approach (and why it's not optimal)
Better approach using Min Heap
Optimal solution using Binary Search on Answer
How to count elements ≤ mid efficiently
Step-by-step intuition + dry run
Clean code in Python, C++ & Java
This problem is a classic and is frequently asked in product-based companies like Amazon, Google, Microsoft.
👉 Bonus:
You'll also learn how this pattern connects with problems like:
Allocate Minimum Number of Pages
Split Array Largest Sum
Master this pattern once, and you'll unlock multiple interview questions!
Rising Brain (DSA Sheet):
https://www.risingbrain.org/sheet
Connect with me here:
LinkedIn – https://www.linkedin.com/in/anjalikumari22/
Instagram – https://www.instagram.com/rbanjali.codes/
Twitter (X) – https://x.com/anjali1kumari?s=21
