所有文章

In this article, we’ll walk through the Max Stock Profit algorithm, which helps determine the maximum profit achievable from buying and selling a stock in a single day based on its changing prices. This common algorithm problem often appears in technical interviews and requires a mix of array handling and optimization techniques.

In this article, we’re covering Merge Sort, an efficient sorting algorithm that breaks down arrays into smaller parts, sorts them, and merges them back into a single sorted array. Merge Sort is often highlighted in technical interviews, so understanding its mechanics is essential.

In this article, we’ll dive into Bubble Sort, a straightforward sorting algorithm often encountered in coding interviews. We’ll discuss how it works, go through an example, and examine a JavaScript implementation of the algorithm.

Discover the Sieve of Eratosthenes — an efficient algorithm to find all prime numbers up to a given limit. We'll cover the steps involved, optimizing runtime, and breaking down the code for a clear understanding.

In this post, we'll explore two different implementations of the Fibonacci sequence: the classic recursive version and an optimized version using memoization. Both methods generate the same result, but their efficiency is quite different, especially when dealing with large numbers.

Binary Search algorithm is a fundamental technique in computer science. It's widely used in various applications and is a common topic in technical interviews. Understanding binary search is crucial because it offers a fast way to find values in sorted lists.

The Two Sum problem is a popular coding challenge that involves finding pairs of numbers in an array that add up to a specific sum. This is a great problem to practice your problem-solving skills and reinforce your understanding of hash tables for improving time complexity.

Learn how to calculate the mean, median, and mode of a number array in JavaScript with a reusable, functional approach. We’ll split the task into easy-to-follow steps that make this algorithm both efficient and beginner-friendly!