✅Day 62 | LeetCode 977. Squares of a Sorted Array

🌟 Welcome to the Exciting Journey of Sorting Squares! 🚀

Embark on an exhilarating journey through the realm of sorting squares as we explore a captivating algorithm designed to transform a vector of integers into its squared elements sorted in non-decreasing order. Join us in this thrilling adventure as we unravel the secrets of code optimization and efficiency.

🎯 Problem Overview:

In this captivating quest, we are presented with a vector of integers. Our mission is to square each element of the vector and then sort the resulting squares in non-decreasing order. With strategic maneuvers and clever coding techniques, we navigate through the array, transforming each element into its square and arranging them meticulously to achieve the desired sorted sequence.

🚀 Algorithm Breakdown:

Our journey begins with a loop traversing through each element of the input vector.
Within the loop, we square each element and update its value in the vector.
After squaring all elements, we employ the power of sorting algorithms to arrange the squared elements in non-decreasing order.
Finally, we unveil the sorted array, a masterpiece of squared elements sorted with precision and finesse.
📊 Complexity Analysis:

Time Complexity: O(N log N), where N is the size of the input vector. The algorithm employs sorting techniques to arrange the squared elements, contributing to a time complexity of O(N log N).
Space Complexity: O(1), as the algorithm does not utilize any additional space proportional to the input size. The sorting operation is performed in-place, resulting in constant space complexity.
Prepare to immerse yourself in the enchanting world of sorting squares as we embark on a journey filled with excitement, challenges, and the triumph of code mastery! 🔗✨

Tags: #sortingalgorithm #squarednumbers #codingadventure #programminglogic #efficiencyoptimization #algorithmexplained #codejourney