🔥 Day 28 of Solving 455 problems in 45 Days of Code | RECURSION

🔥 Day 28 of Solving 455 Problems in 45 Days of Code Challenge | Striver A2Z Sheet

Yesterday, we kicked off Step 6 — Linked List and solved the basics: creation, insertion, deletion, length, searching, middle node, reversal, and cycle detection ✅.

⚡ Day 28 Plan (Mastering Recursion — Patternwise, Basics → Advanced)
⏱️ Timestamps (will be updated after stream)
📌 Recursion Problems (Patternwise from Striver’s A2Z Sheet + Add-ons)

🔹Print Name N times / 1 to N / N to 1
🔹Factorial of N
🔹Sum of first N numbers
🔹Fibonacci Numbers
🔹Reverse an array using recursion
🔹Check if a string is palindrome
🔹Sum of first N numbers (parameterized & functional styles)
🔹Factorial (both approaches)
🔹Recursive Fibonacci with memoization
🔹Maximum & Minimum in Array
🔹Linear Search using recursion
🔹Binary Search using recursion
🔹Print all subsequences of an array
🔹Subset Sum I
🔹Print subsequences with given sum K
🔹Count subsequences with sum K
🔹Print only one subsequence with sum K
🔹Power Set (all subsets)
🔹Generate all binary strings
🔹Generate Parentheses
🔹Letter Case Permutation
🔹Rat in a Maze
🔹N-Queens Problem
🔹Word Search
🔹Sudoku Solver
🎯 Outcomes by EOD
✅ Build solid foundation in recursion: base case, recursive case, call stack
✅ Understand patterns behind recursion problems (subsequence, choices, backtracking)
✅ Solve real interview-level recursion problems like Generate Parentheses, N-Queens, Sudoku, and Word Search
✅ Set the base for upcoming advanced recursion + DP problems

💡 Why Recursion?
Mastering recursion is not just about solving problems — it’s about recognizing patterns that extend into Backtracking, Divide & Conquer, and Dynamic Programming, which are heavily tested in interviews.

👉 Code along, practice dry runs, and let’s make Binary Search our strongest weapon 💪
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