Dynamic Programming Solution for LeetCode String Problem

🚀 Day 186 of #500DaysOfCode Today’s challenge was LeetCode 712 – Minimum ASCII Delete Sum for Two Strings 🧵 This problem was a great example of applying Dynamic Programming to string matching. The goal: make two strings equal with minimum deletion cost, where each deletion costs its ASCII value. 💡 Key insight: Think beyond classic LCS—here, the cost of deletion matters. A DP approach comparing characters and choosing the minimum ASCII sum at each step makes all the difference. Every problem like this sharpens intuition for string DP patterns 🔁 On to the next one! #LeetCode #DSA #DynamicProgramming #Strings #ProblemSolving #CodingJourney #Consistency

🔥 Day 17 | Round 4 — Mastering String DP! 🔥 Solved a LeetCode problem — Edit Distance 💡 This classic string-based Dynamic Programming problem focuses on converting one string into another using the minimum number of operations. 🧩 Approaches Explored: Recursive DP (Brute Force Idea) DP with Memoization Bottom-Up Tabulation Space Optimized DP (1D Arrays) By understanding insert, delete, and replace operations clearly, optimizing the solution became much more intuitive 💪 Problems like these greatly strengthen core DP concepts 🚀 🔹 Concepts Used: Dynamic Programming | String DP | Space Optimization 🔹 Key Takeaway: Clear transitions between states make even complex string problems manageable 🧠 #30DaysOfCode #Round4 #Day17 #LeetCode #DynamicProgramming #EditDistance #StringDP #DSA #ProblemSolving #CodingChallenge #DeveloperJourney #CodeEveryday #CPlusPlus #LearnByDoing #ConsistencyIsKey 🚀

Compiler Construction sounded cool. Then I actually tried building one. I started with the first stage: a Lexical Analyzer built from scratch using C and Flex, with a Harry Potter–inspired syntax (numspell, truthcharm, beginmagic). At first, matching tokens with regular expressions felt straightforward. Then the problems started. Valid-looking code broke. Invalid code slipped through. That’s when I realized: a lexer that isn’t strict is useless. So I focused heavily on error detection and reporting, making the lexer explicitly catch: • Digit-prefixed identifiers (5abc) • Unterminated strings and comments • Invalid number formats It doesn’t just tokenize the magic — it rejects broken spells. This was my first real lesson in compilers: being precise matters more than being permissive. 🔗 GitHub Repo: https://lnkd.in/dBeeViyZ #ComputerScience #CompilerConstruction #Flex #CProgramming #CSStudent #CodingJourney

LeetCode is HARD until you Learn these 15 Patterns: 1. Prefix Sum 2. Two Pointers 3. Sliding Window 4. Fast & Slow Pointers 5. LinkedList In-place Reversal 6. Monotonic Stack 7. Top ‘K’ Elements 8. Overlapping Intervals 9. Modified Binary Search 10. Binary Tree Traversal 11. Depth-First Search (DFS) 12. Breadth-First Search (BFS) 13. Matrix Traversal 14. Backtracking 15. Dynamic Programming Patterns

#45 🚀 Solved a classic LeetCode problem: Merge Sorted Array! I recently tackled the “Merge Sorted Array” problem on LeetCode. The challenge was to merge two sorted arrays into one sorted array, in-place. ✅ Key takeaways from this exercise: Understanding in-place array modification Practicing C++ STL functions like sort() Strengthening algorithmic thinking and debugging skills Challenges like this are great for keeping problem-solving skills sharp and improving coding efficiency. 💡 Tip: Always think about edge cases and in-place operations to optimize space and time complexity. #LeetCode #CodingChallenge #CPlusPlus #Algorithms #ProblemSolving #TechLearning

🔥 Day 18 | Round 4 — Tackling Pattern Matching with DP! 🔥 Solved a LeetCode problem — Wildcard Matching 💡 This problem revolves around matching a string with a pattern containing wildcards using Dynamic Programming. 🧩 Approaches Explored: Recursive DP (Brute Force Idea) DP with Memoization Bottom-Up Tabulation Space Optimized DP Handling special characters like * and ? required careful state transitions, making this a great exercise in string DP 💪 Gradually, these complex DP patterns are starting to feel more intuitive 🚀 🔹 Concepts Used: Dynamic Programming | String DP | Pattern Matching 🔹 Key Takeaway: Defining clear base cases is crucial when dealing with complex matching rules 🧠 #30DaysOfCode #Round4 #Day18 #LeetCode #DynamicProgramming #WildcardMatching #StringDP #DSA #ProblemSolving #CodingChallenge #DeveloperJourney #CodeEveryday #CPlusPlus #LearnByDoing #ConsistencyIsKey 🚀

LeetCode is HARD until you Learn these 15 Patterns: 1.Prefix Sum 2. Two Pointers 3.Sliding Window 4. Fast& Slow Pointers 5. LinkedList In-place Reversal 6.Monotonic Stack 7. Top 'K' Elements 8. Overlapping Intervals 9. Modified Binary Search 10.Binary Tree Traversal 11. Depth-First Search (DFS) 12.Breadth-First Search (BFS) 13.Matrix Traversal 14.Backtracking 15. Dynamic Programming Patterns

Conditional statements help make decisions in code. If condition true → execute Else → another path Programming is all about logic 🔥 #PHPCoding #ConditionalLogic #BackendDev