Grokking Algorithm Complexity and Big-O

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Analyzing Space Complexity of Algorithms

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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