Binary Search on Answer Pattern (Complete Practice Guide)
Binary Search on Answer is a powerful problem-solving pattern frequently used in coding interviews and competitive programming. Instead of searching inside an array, we perform binary search on the range of possible answers.
- Minimum or maximum value is asked
- Answer lies within a numeric range
- A feasibility function exists
- Feasibility is monotonic
📌 LeetCode Problems Using Binary Search on Answer
| Problem | Difficulty | Core Idea |
|---|---|---|
| 1283 – Find the Smallest Divisor Given a Threshold | Easy | Binary search on divisor value |
| 1011 – Capacity To Ship Packages Within D Days | Medium | Binary search on ship capacity |
| 875 – Koko Eating Bananas | Medium | Binary search on eating speed |
| 1482 – Minimum Number of Days to Make m Bouquets | Medium | Binary search on number of days |
| 1760 – Minimum Limit of Balls in a Bag | Medium | Binary search on max balls per bag |
| 410 – Split Array Largest Sum | Hard | Binary search on maximum subarray sum |
| 1552 – Magnetic Force Between Two Balls | Medium | Binary search on minimum distance |
| 1891 – Cutting Ribbons | Medium | Binary search on ribbon length |
🎯 Final Takeaway
Mastering Binary Search on Answer turns many complex-looking problems into predictable templates. Once you identify the range and feasibility check, the solution becomes straightforward.
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