LeetCode 3995 | Biweekly Contest 187 Q4 | Minimum Cost to Convert String III | Hard | DP + Recursion

In this video, we solve LeetCode 3995 – Minimum Cost to Convert String III, the Hard (Q4) problem from Biweekly Contest 187. We begin with the recursive approach, build the intuition behind the state transitions, and then optimize it using Dynamic Programming (Memoization). Along the way, we'll understand how wildcard matching works, why overlapping transformations are not allowed, and how to design the DP efficiently. 🚀 What you'll learn = Recursive intuition for the problem = How to convert recursion into DP (Memoization) = Handling wildcard (*) pattern matching = Step-by-step dry run of the algorithm = Clean and optimized C++ implementation 📚 Topics Covered = Dynamic Programming (DP) = Recursion + Memoization = String Algorithms = Wildcard Matching = C++ = Competitive Programming If you enjoyed the explanation, don't forget to Like 👍, Share 📤, and Subscribe 🔔 for more LeetCode contest solutions, algorithm tutorials, and coding interview content. #LeetCode #LeetCode3995 #BiweeklyContest187 #DynamicProgramming #Memoization #Recursion #Strings #Cpp #CompetitiveProgramming #CodingInterview