LeetCode #10: Regular Expression Matching in Java | Recursion vs DP O(mn) - Regex Decoded!

LeetCode 10: Regular Expression Matching may look like a simple pattern match, but it mirrors real-world regex engines, text processors, and compilers. In this video, we quack through recursion, memoization, and dynamic programming to break down how to match strings with wildcards '.' and '*' — efficiently.

We start with a recursive duck-dive into brute force, then feather in memoization to optimize overlapping calls, and finally build a bottom-up DP table to fly past recursion limits. Whether you're aiming for interviews or mastering regex mechanics, this solution covers the full pond.

Language: Java
Time Complexity: Brute Force – exponential, Memoization – O(m * n), Bottom-Up DP – O(m * n)
Space Complexity: O(m * n)

Hop on and let’s waddle through this one together!
Chapters:
0:00 Introduction
0:26 Recursive Backtracking
1:53 Recursive with Memoization (Top-Down DP)
3:44 Dynamic Programming (Bottom-Up)
5:23 Summary

Видео LeetCode #10: Regular Expression Matching in Java | Recursion vs DP O(mn) - Regex Decoded! канала Algo Ducky