If you want to get better at algorithms in a way that actually lasts, you are in the right place.
Algoyahan is built for engineers who do not just want to pass one interview. This blog helps you build reusable thinking patterns that improve coding interviews, system design decisions, and day-to-day problem solving.
Theory
Theory gives you the map.
Here, you will learn the core ideas behind algorithm families: why they work, when they fail, and what trade-offs they make in time and space.
The goal is not memorization. The goal is understanding.
Process
Process gives you a method.
Each post focuses on a repeatable flow:
- Define the problem and constraints clearly
- Explore the naive approach and its limits
- Derive a better strategy from first principles
- Validate complexity and edge cases
- Translate the idea into clean implementation
This is how you go from "I saw this before" to "I can solve this confidently."
Practice
Practice makes the method automatic.
Every concept is paired with practical examples so you can apply the same pattern across multiple problems. The objective is simple: less guesswork, more clarity under pressure.
How to use this blog
- Read one post with full focus
- Re-implement the solution without looking
- Explain the approach out loud in your own words
- Apply the same pattern to a related problem
Use the blog consistently, and your algorithm thinking will compound.