Questions
FIT1008-FIT1054-FIT2085_S2_2025 Week 10 Workshop Quiz
Single choice
You have decided to use Quicksort to sort a list. What benefits will you have over MergeSort?
Options
A.a. It is incremental
B.b. It has a worst-case time complexity of O(nlogn)
C.c. It is stable
D.d. It offers in-place sorting and so does not require a lot of space to perform
View Explanation
Verified Answer
Please login to view
Step-by-Step Analysis
Exploring the question about Quicksort versus MergeSort, we evaluate each possible benefit to understand which one truly applies.
Option a: 'It is incremental' — This is not a standard way to describe Quicksort. Quicksort is a divide-and-conquer algorithm that sorts by partitioning and recursively sorting subarrays; it is not typically characterized as incremental in the sen......Login to view full explanationLog in for full answers
We've collected over 50,000 authentic exam questions and detailed explanations from around the globe. Log in now and get instant access to the answers!
Similar Questions
In bubble sort, how many passes are needed to guarantee the list is sorted?
In the context of sorting algorithms, why might one choose a sorting method other than bubble sort for a large dataset?
CC4_3 📦 CC4: Inventory Sorting System – Challenge Recap In this challenge, you worked on sorting an inventory list in a warehouse based on a given priority order of three distinct item categories. Your goal was to rearrange the inventory in-place so that items appear in the same order as the priority list, while ensuring:✅ O(N) time complexity✅ O(1) auxiliary space✅ Stable order within each category Consider the following alternative implementation of the sorting function: def get_priority(item, priority): return priority.index(item) def sort_inventory_wrong(inventory, priority): return sorted(inventory, key=get_priority) This code uses the Python built-in sorted() function to rearrange the inventory list. The function get_priority(item, priority) returns the position of an item in the priority list, ensuring that sorting follows the given order. However, this implementation does not satisfy the problem constraints. Why?
Project02_MS_2 In Project 02, you implemented several basic sorting algorithms in Python. Additionally, you developed a hybrid sorting algorithm that combined the strengths of these basic sorts to create a more efficient solution for specific types of data. After completing the implementations, you applied the hybrid sort to solve an application problem, demonstrating its effectiveness in optimizing data organization and retrieval. This project tested your understanding of sorting techniques and their practical application in real-world scenarios. Now answered the following question: What behavior does the `hybrid_merge_sort` function exhibit based on the size of the input data and the given threshold value? do_comparison method:
More Practical Tools for Students Powered by AI Study Helper
Making Your Study Simpler
Join us and instantly unlock extensive past papers & exclusive solutions to get a head start on your studies!