LeetCode | POTD | Minimum Cost to Convert String II скачать в хорошем качестве

LeetCode | POTD | Minimum Cost to Convert String II

In this video, we solve LeetCode: Minimum Cost to Convert String II (Hard) step-by-step using a clean, interview-ready approach. This problem looks confusing at first because: • Conversions are on substrings, not characters • Operations cannot overlap • Multiple conversion rules can chain together So how do we solve it correctly? 💡 Key Ideas Covered • How to model string conversion rules as a graph • Why we assign unique IDs to substrings • How Floyd–Warshall helps find the minimum cost between any two rule strings • Why a Trie is required to efficiently detect valid substrings • How DP on prefix guarantees non-overlapping operations • A full dry run with example, showing how each variable changes This video focuses on intuition first, not just code — so you can confidently explain this in: • Interviews • Contests • Systematic problem solving If you’re preparing for FAANG / SDE interviews, this problem is a perfect mix of: • Graph algorithms • Dynamic Programming • String processing • Data structures (Trie) ⸻ ⏱️ Time Complexity • Floyd–Warshall on rule graph • Trie-based substring matching • DP over string prefix All explained clearly inside the video. ⸻ 👍 Who should watch this? • LeetCode Hard problem solvers • Interview preparation (SDE-1 / SDE-2) • Anyone struggling with DP + Strings • Competitive programmers ⸻ If you found this helpful: • 👍 Like the video • 💬 Comment your doubts • 🔔 Subscribe for more deep-intuition DSA content #LeetCode #LeetCodeHard #DynamicProgramming #Trie #GraphAlgorithms #FloydWarshall #StringAlgorithms #DSA #CodingInterview #FAANGPreparation #CompetitiveProgramming #Python #InterviewPrep