LeetCode #88: Merge Sorted Array in Java | Brute Force vs Two-Pointer O(m+n) - Interview Must-Know!

LeetCode #88 - Merge Sorted Array is more than just an array merge — it's a core algorithmic challenge that mirrors real-world systems like in-memory data joins, log processing, and database compactions.

In this video, Algo Ducky waddles through three approaches:
1. A simple brute-force merge and sort (Big O of (m plus n) log (m plus n))
2. A clean but memory-heavy two-pointer merge using extra space (Big O of m plus n time and space)
3. The optimal in-place reverse two-pointer approach (Big O of m plus n time, Big O of 1 space)

We break down each method with step-by-step logic, performance analysis, and real-world relevance. This isn’t just about solving a LeetCode problem — it’s about mastering a coding pattern that shows up in interviews and backend systems alike.

Whether you’re prepping for a FAANG interview or leveling up your algorithmic thinking, this is one you don’t want to skip!

Stay sharp, keep quacking, and code on.

Chapters:
0:00 Introduction
0:29 Brute Force + Sort
1:09 Two-Pointer Merge Using Extra Array
2:35 Two-Pointer In-Place Merge from End
3:33 Summary

Видео LeetCode #88: Merge Sorted Array in Java | Brute Force vs Two-Pointer O(m+n) - Interview Must-Know! канала Algo Ducky