🔥 Dynamic Programming (DP)
Dynamic Programming is one of the most important and slightly advanced topics in coding interviews.
📌 What is Dynamic Programming?
Dynamic Programming is a technique used to solve complex problems by breaking them into smaller subproblems and storing their results.
👉 Instead of solving the same problem again and again, we reuse previously computed results.
🧠 Why DP is Needed?
Some problems have:
• Overlapping subproblems (same calculation repeated)
• Optimal substructure (solution built from smaller solutions)
DP helps to:
• reduce time complexity
• avoid redundant calculations
⚙️ Two Approaches in DP
1️⃣ Memoization (Top-Down)
Uses recursion
Stores results in memory (cache)
Avoids repeated calculations
👉 Think: solve first, store later
2️⃣ Tabulation (Bottom-Up)
Uses iteration
Builds solution step by step
No recursion
👉 Think: build from smallest to largest
🔁 Example Concept: Fibonacci
Normal recursion:
Repeats same calculations → slow
Dynamic Programming:
Store results → faster
👉 This reduces complexity from O(2ⁿ) to O(n)
🧠 Key DP Patterns
1️⃣ 1D DP
Example:
• Fibonacci
• Climbing stairs
2️⃣ 2D DP
Example:
• Grid problems
• Longest Common Subsequence
3️⃣ Knapsack Pattern
Example:
• Max value with limited weight
4️⃣ Subsequence Problems
Example:
• Longest Increasing Subsequence
⚡️ When to Use DP
Look for:
• Repeated subproblems
• Need for optimization
• Recursive solution possible
• “Find maximum/minimum ways”
⚠️ Common Mistakes
❌ Not identifying overlapping subproblems
❌ Using recursion without memoization
❌ Wrong state definition
❌ Not understanding transitions
🎯 Interview Questions
• What is Dynamic Programming?
• Difference between DP and recursion
• Memoization vs Tabulation
• Fibonacci using DP
• Knapsack problem
• Longest Common Subsequence
⭐️The Main Point:
DP is not about memorizing problems.
It’s about identifying patterns like:
👉 “Can I reuse previous results?”
💡 Simple Thought Process
1. Can I break problem into smaller parts?
2. Are subproblems repeating?
3. Can I store results?
👉 If yes → Use DP
@coding_interview_preparation
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