Master the Power Set problem using two different recursive approaches! This video breaks down the exact thought process for designing recursive solutions, including the backtracking pattern that appears in countless coding interviews. ⸻ Chapters: 00:00 Introduction - Power Set Problem 00:30 What is a Power Set? 01:12 First Solution: Building Up Approach 01:20 Step 0: Investigating Subproblems 02:55 Step 1: Define the Function 03:15 Step 2: The Recursive Leap 03:39 Step 3: Combining Results (Inductive Step) 04:23 Step 4: Base Case 05:27 Tracing the Recursion Tree 05:54 Second Solution: Backtracking Approach 06:59 Backtracking in Action 07:45 Revisiting Step 1: Define the Function 08:20 Revisiting Step 2: The Recursive Leap 09:09 Revisiting Final Step: Base Case 09:44 Tracing the Recursion Tree 10:22 Time Complexity Analysis 11:56 Summary & Practice Resources ⸻ Prerequisites: - Basic recursion understanding (watch Part 1!) - Familiarity with arrays/vectors - Some coding experience helpful What you'll master: - Two completely different ways to solve the Power Set problem - The include/exclude pattern that solves subset problems - How backtracking actually works (with visual trace) - Building solutions bottom-up vs. top-down - Analyzing time complexity using recursion trees - Why this pattern appears in 100+ interview problems Key Insights: - Why changing your subproblem changes everything - The difference between returning results vs. using global state - How to identify when to use backtracking - The O(2^N) complexity explained intuitively Practice This Pattern: Visit to: - Access the complete code in C++, Java, and Python - Practice similar subset/combination problems - See more backtracking patterns - Get step-by-step solution walkthroughs Perfect for: - LeetCode grinders preparing for interviews - Students learning recursive backtracking - Anyone struggling with subset/combination problems - Engineers preparing for FAANG interviews Next up: Dynamic Programming - turning these recursive solutions into optimized DP solutions! Connect with me: LinkedIn: Practice: #Recursion #PowerSet #Backtracking #CodingInterview #LeetCode #RecursiveThinking #Algorithms #FAANG #SubsetProblems #DSA