10.2 Jump Game II – LeetCode 45 ⚡ Ultimate Greedy O(n) Approach | Minimum Jumps in One Pass (Part 2)

Welcome to Part 2 of Jump Game II from the LeetCode Top Interview 150 series!

In the previous episode, we engineered brute-force, memoized, and dynamic programming strategies.
Today, we’re unlocking the gold-standard solution — the O(n) Greedy Algorithm, the exact pattern most FAANG interviewers expect.

🚀 What You’ll Learn in This Video

• How to track the current jump window
• How maxReachableIdx predicts your next optimal landing zone
• How we guarantee the minimum number of jumps in a single forward pass
• What to return if the end is not reachable

This is the final and most efficient piece of the Jump Game II puzzle — concise, scalable, and production-grade.

Perfect for interview prep and competitive programming.

Stay tuned for more LeetCode 150 high-performance breakdowns!

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