Koko Eating Bananas | Binary Search on Answer Leet Code Question | Java DSA Interview Problem

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In this video, we solve one of the most important Binary Search interview problems:

#️⃣ Koko Eating Bananas (LeetCode 875)

This problem is a classic example of Binary Search on Answer (Search Space Binary Search) — a pattern heavily used in Amazon, Google, Microsoft, Meta, Flipkart, and product-based company interviews.

🧠 Problem Statement (Explained Simply)

Koko loves eating bananas 🍌.

She has multiple piles of bananas, for example:
piles = [3, 6, 7, 11]

She has H hours to eat all bananas.
Example:
H = 8

Rules:
• Every hour, Koko chooses only one pile
• She eats K bananas per hour
• K remains the same every hour

🎯 Goal:
Find the minimum eating speed K such that Koko can finish all bananas within H hours.
➡️ We can safely apply Binary Search on the answer space.

🧠 What You Will Learn in This Video

✔ What is Binary Search on Answer
✔ How to identify search space
✔ Why monotonicity matters
✔ Designing the canFinish() function
✔ Ceiling division trick: (pile + speed - 1) / speed
✔ Step-by-step dry run
✔ Time complexity optimization
✔ Clean and interview-ready Java code

💻 Java Code Explanation

We implement:
• getMax() → to find upper bound
• canFinish() → to validate a speed
• Binary Search loop → to minimize K

This approach reduces time complexity from:
O(N × maxPile) → O(N log maxPile)

🏆 Why This Problem Is IMPORTANT for Interviews

This pattern appears in:
• Koko Eating Bananas
• Ship Packages Within D Days
• Minimum Speed Problems
• Painters Partition
• Aggressive Cows
• Minimum Capacity Problems

Mastering this problem means you can solve 20+ interview questions easily.

📌 Who Should Watch This Video?

✔ Java beginners learning DSA
✔ Students preparing for placements
✔ Developers targeting FAANG
✔ Anyone struggling with Binary Search logic

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Видео Koko Eating Bananas | Binary Search on Answer Leet Code Question | Java DSA Interview Problem канала Code Push