Analyzing Space Complexity of Algorithms

Grokking Algorithm Complexity and Big-O

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In this lesson, we’ll explore how to analyze the space requirements of algorithms by looking at two examples. We’ll start with an algorithm that uses constant space $O(1)$ and then move to one that requires $O(n^2)$ space. Through these examples, we’ll learn how to calculate space complexity by examining variables, data structures, and other memory requirements.

Example 1: Finding the Maximum Element (Constant Space – $O(1)$ )

Let’s begin with a simple algorithm to find the maximum element in a list

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Example 1: Finding the Maximum Element (Constant Space – O(1))

Example 1: Finding the Maximum Element (Constant Space – $O(1)$ )