An algorithm is a set of instructions that performs a specific task or solves a particular problem. In computer science, algorithms are essential tools for performing complex computations and manipulating large sets of data. In this article, we’ll explore what algorithms are, why they’re important, and some of the most commonly used algorithms. What are Algorithms? Algorithms are sets of […]

As a computer scientist, understanding the efficiency of algorithms is crucial. Big O notation is a mathematical concept that describes the upper bound of the number of operations an algorithm performs as a function of the input size. In this article, we’ll explore what Big O notation is, why it’s important, and how it can be used to optimize algorithms. […]

As a computer scientist, it’s important to have a deep understanding of the efficiency of algorithms. Two key metrics used to measure the efficiency of an algorithm are time complexity and space complexity. In this article, we’ll explore what time and space complexity mean and how they can be used to optimize algorithms. Time Complexity Time complexity measures the amount […]