Скачать или смотреть Kth Smallest Array Sum | JavaScript Coding Interview Question | Heap + Matrix Problem Explained

In this video, we solve an important JavaScript coding interview question — Find the Kth Smallest Array Sum from a matrix where each row is sorted in non-decreasing order.

You’ll learn how to use a Min Heap (Priority Queue) to efficiently merge rows and calculate the k smallest sums possible from all combinations. This is a popular LeetCode Hard problem that tests your understanding of heap data structures, matrix traversal, and optimization techniques.

🔹 Topics Covered:

Kth Smallest Array Sum Problem Explanation

Step-by-Step Solution in JavaScript

Custom Min Heap Implementation

Time and Space Complexity Analysis

Important Interview Question for FAANG

💡 Suitable for:
JavaScript Developers, Coding Interview Aspirants, LeetCode Enthusiasts, and Students preparing for top tech interviews.

📘 Code Included — Watch till the end to understand every line clearly!



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