Tag: Data Structures + Algorithms
How does work Asymptotic Notations for Analysis of Algorithms?
When we develop algorithms, one of the biggest concerns is efficiency: how long it takes to run and how much memory it consumes. But measuring efficiency in absolute numbers (seconds or megabytes) is not enough, because these values change depending on the machine, the compiler, and even small code adjustments. That’s where Asymptotic Notation comes…
Read More 🧠 Understanding Stacks in Java with a Real Example
When working with algorithms, data structures like Stacks play a crucial role in solving problems efficiently. A Stack follows a simple but powerful principle: LIFO (Last In, First Out) — the last element you add is the first one to be removed. Think of a stack like a pile of books: you can only remove…
Read More Why is it important to study data structures and algorithms?
One day I was talking to a friend who is learning programming. I suggested solving a problem to check whether a word or phrase is a palindrome. We entered a prompt asking to AI for this and received a response using Java’s StringBuilder. The solution was correct, but with a more critical eye, I thought…
Read More What is algorithm complexity?
Algorithm complexity is a fundamental concept in computer science, used to measure the efficiency of an algorithm in terms of execution time and memory usage. By analyzing complexity, we can predict how an algorithm behaves as the input size increases, allowing us to choose more appropriate solutions for different problems. How do we measure it?…
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