Day 8 Dynamic Programming vs Greedy Algorithms

What’s Inside:

🔍 Greedy Approach: Fast decisions, local optima, and classic examples like Activity Selection, Fractional Knapsack, and MSTs

🧠 Dynamic Programming: Recurrence relations, memoization vs tabulation, and examples like Fibonacci, 0/1 Knapsack, and LCS

⚔️ The Showdown: DP vs Greedy comparison table—when to use what and why

📝 PYQ Practice: 10 handpicked previous year questions with crisp Hinglish explanations

🎓 Interview Insights: How top tech companies test these paradigms

📚 Language: Hinglish (Hindi + English)

💬 Comment below: Which DP trick or Greedy fail surprised you most? 👍 Like | 🔁 Share | 🔔 Subscribe to keep your prep sharp and strategic!

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