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CS502 – Fundamentals of Algorithms GDB 100% Correct Solution

CS502 GDB Solution

Question:

Consider the following scenario:

“You are a data analyst working for a large e-commerce company that deals with a massive amount of customer orders on a daily basis. Your task is to efficiently sort the orders based on their monetary value to identify the highest-value orders and prioritize their processing.”

After carefully analyzing the scenario, which sorting algorithm from the following do you think will be the most effective for the above scenario and why? Also, discuss why other algorithms have not been chosen.

  • Merge Sort
  • Selection Sort
  • Heap Sort
  • Quick Sort

Your comments should not be more than 8-10 lines. Any extra details written may cause negative markings.

Answer:

In the given scenario of efficiently sorting customer orders based on their monetary value, the most effective sorting algorithm would be Heap Sort.

 

Heap Sort has a time complexity of O(n log n) and guarantees a stable, consistent performance regardless of the input. It is well-suited for large data sets and can efficiently handle the massive amount of customer orders in the e-commerce company. Additionally, Heap Sort allows for in-place sorting, minimizing the need for additional memory.

Other algorithms like Selection Sort and Quick Sort have average time complexities of O(n^2), making them less efficient for large data sets. Merge Sort, while efficient with a time complexity of O(n log n), may require additional memory for merging the sublists.

Considering the need for efficient sorting, Heap Sort emerges as the most suitable choice in this scenario.

To access the CS502 GDB No 1 Solution for Spring 2022, all students can visit the link provided below.

 

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