Understanding Optimization in DSA with a Beginner-Friendly Example Optimization is a fundamental concept in Data Structures and Algorithms (DSA). It involves improving an algorithm to make it more efficient in terms of time complexity (how fast it runs) and space complexity (how much memory it uses). For beginners, this can seem daunting, but with a simple example, we can break it down and make it easier to understand. In this article, we'll explain optimization using a straightforward problem: finding the largest number in an array. Problem: Find the Largest Number in an Array We are given an array of numbers, and our goal is to find the largest number. There are multiple ways to solve this problem, and we'll look at both an unoptimized and an optimized solution. Unoptimized Solution In the unoptimized solution, we use two loops to compare every number with every other number. Here's how it looks: # Unoptimized Solution: Compare every number with every other...
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