Advanced application engineering analyst @Accenture l Ex-Full-stack Developer @Automation Agency India |1600+ Leetcode | Freelance Web Developer | AI for Businesses | Qualified Google Codejam
๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก โ ๐๐จ๐ซ๐ ๐๐ก๐๐ง ๐๐ฎ๐ฌ๐ญ ๐๐ข๐๐๐ฅ๐ ๐๐ง๐๐๐ฑ๐๐ฌ
When I first began exploring Binary Search, I thought it was a simple algorithm โ find the middle, adjust ๐ญ๐ฐ๐ธ and ๐ฉ๐ช๐จ๐ฉ, and repeat until done.
But as I started solving more problems, I realized something deeper:
๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก ๐ข๐ฌ๐งโ๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐๐ง ๐๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ โ ๐ข๐ญโ๐ฌ ๐ ๐ฆ๐ข๐ง๐๐ฌ๐๐ญ.
It teaches how to ๐ง๐๐ซ๐ซ๐จ๐ฐ ๐ฎ๐ง๐๐๐ซ๐ญ๐๐ข๐ง๐ญ๐ฒ, ๐๐ง๐๐ฅ๐ฒ๐ณ๐ ๐๐จ๐ฎ๐ง๐๐๐ซ๐ข๐๐ฌ, ๐๐ง๐ ๐ญ๐ก๐ข๐ง๐ค ๐ข๐ง ๐ก๐๐ฅ๐ฏ๐๐ฌ rather than wholes.
Over the last few weeks, I explored several patterns of Binary Search โ each bringing its own twist, confusion, and โaha!โ moment:
1. ๐๐ฅ๐๐ฌ๐ฌ๐ข๐ ๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก:
Finding a target in a sorted array โ the purest form.
This pattern builds the base for all other variations.
2. ๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก ๐จ๐ง ๐๐ง๐ฌ๐ฐ๐๐ซ:
Used when the array isnโt sorted, but the ๐๐ง๐ฌ๐ฐ๐๐ซ ๐ซ๐๐ง๐ ๐ ๐ข๐ฌ.
Problems like โCapacity to ship packages in D daysโ or โFind smallest divisor under a thresholdโ donโt need sorted data โ they need a ๐ด๐ฆ๐ข๐ณ๐ค๐ฉ ๐ฐ๐ท๐ฆ๐ณ ๐ญ๐ฐ๐จ๐ช๐ค, not over array elements.
It reshaped how I think about optimization and feasibility checks.
3. ๐๐จ๐ฎ๐ง๐๐๐ซ๐ฒ ๐๐ซ๐จ๐๐ฅ๐๐ฆ๐ฌ:
Finding the ๐๐ข๐ซ๐ฌ๐ญ or ๐ฅ๐๐ฌ๐ญ occurrence of an element.
This looks simple until you realize how mid condition placement and < vs <= make or break your logic.
These taught me precision, patience, and how to control loop boundaries.
4. ๐๐๐๐ค / ๐๐ข๐ฏ๐จ๐ญ ๐๐ซ๐จ๐๐ฅ๐๐ฆ๐ฌ:
Like searching in a rotated array or mountain array โ here, you donโt just look for a number, you look for the point where direction changes.
These problems strengthen your ๐ฉ๐๐ญ๐ญ๐๐ซ๐ง ๐ซ๐๐๐จ๐ ๐ง๐ข๐ญ๐ข๐จ๐ง and push you to visualize array behavior beyond indexes.
5. ๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก ๐๐๐ฒ๐จ๐ง๐ 1๐:
Even in 2D arrays, infinite arrays, or implicit search spaces โ Binary Search appears again and again.
It reminded me that ๐ฌ๐๐๐ซ๐๐ก ๐ฌ๐ฉ๐๐๐ ๐ข๐ฌ ๐ง๐จ๐ญ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐ฏ๐ข๐ฌ๐ข๐๐ฅ๐, sometimes you just define it logically.
Each of these problems deepened my understanding โ not only of algorithms but of how analytical thinking evolves through practice.
Every wrong mid-point, every off-by-one mistake, and every successful dry-run became a small teacher โ guiding me toward clarity.
This phase of my DSA journey reaffirmed something simple yet powerful:
๐๐ข๐ง๐๐ซ๐ฒ ๐๐๐๐ซ๐๐ก ๐๐จ๐๐ฌ๐งโ๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐๐ข๐ง๐ ๐๐ง๐ฌ๐ฐ๐๐ซ๐ฌ, ๐ข๐ญ ๐ก๐๐ฅ๐ฏ๐๐ฌ ๐๐จ๐ง๐๐ฎ๐ฌ๐ข๐จ๐ง.