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 […]