Sorting Algorithms Overview
17 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

In Insertion Sort, what is the purpose of the 'while' loop within the outer 'for' loop?

  • To compare the elements in the sorted subarray.
  • To find the correct position for the element 'k' in the sorted subarray. (correct)
  • To identify the minimum element in the unsorted subarray.
  • To swap elements in the unsorted subarray.
  • Which of the following correctly describes the primary difference between Insertion Sort and Selection Sort?

  • Insertion Sort builds the sorted array incrementally, while Selection Sort makes comparisons on a single element and then makes a swap. (correct)
  • Insertion Sort is more efficient for large datasets, while Selection Sort is better for smaller datasets.
  • Insertion Sort uses a 'while' loop, while Selection Sort uses a 'for' loop.
  • Insertion Sort sorts elements in place, while Selection Sort requires additional space.
  • In Quick Sort, what is the role of the 'partition' operation?

  • To divide the array into subarrays with one element each.
  • To find the median of the array.
  • To arrange elements in ascending order.
  • To arrange elements smaller than the pivot to the left and elements larger than the pivot to the right. (correct)
  • In Selection Sort, what does 'min' variable represent in the code?

    <p>The index of the minimum element found so far in the unsorted subarray. (A)</p> Signup and view all the answers

    In a Bubble Sort algorithm, the outer loop iterates how many times?

    <p>n - 1 (A)</p> Signup and view all the answers

    How does Insertion Sort compare to Bubble Sort in terms of efficiency?

    <p>Insertion Sort is generally more efficient than Bubble Sort, especially for nearly sorted arrays. (D)</p> Signup and view all the answers

    Which sorting algorithm will have the most significant improvement in efficiency when applied to an already sorted array?

    <p>Insertion Sort (C)</p> Signup and view all the answers

    Which sorting algorithm utilizes a 'pivot' element for partitioning the array?

    <p>Quick Sort (B)</p> Signup and view all the answers

    Given an array of size n, how many subarrays will be sorted independently during a recursive call in Merge Sort?

    <p>2 (A)</p> Signup and view all the answers

    Which sorting algorithm would be most suitable for sorting a large dataset that is already mostly sorted?

    <p>Insertion Sort (A)</p> Signup and view all the answers

    Which sorting algorithm has a worst-case time complexity of O(n^2), but can achieve O(n log n) in the average case?

    <p>Quick Sort (D)</p> Signup and view all the answers

    Which sorting algorithm is known for its stability, meaning it preserves the relative order of equal elements in the sorted output?

    <p>Merge Sort (A)</p> Signup and view all the answers

    What is the purpose of the partition() function in the provided code snippet?

    <p>To divide the array into two subarrays with elements smaller than the pivot on the left and larger on the right. (A)</p> Signup and view all the answers

    What is the value of pivot after the first iteration of the while loop in the partition() function?

    <p>7 (C)</p> Signup and view all the answers

    In the provided code, right is initially set to high - 1. What is the purpose of this?

    <p>To ensure that <code>right</code> always points to the last element of the unsorted subarray. (D)</p> Signup and view all the answers

    Based on the provided logic, what is the order of the array after the second partitioning step (where the left subarray: [1, 2, 7] is partitioned again)?

    <p>1 2 5 6 7 9 7 10 15 (D)</p> Signup and view all the answers

    Identify a potential drawback of the Quicksort algorithm implemented in the code snippet.

    <p>It is inefficient for sorting arrays with already sorted elements. (C)</p> Signup and view all the answers

    Study Notes

    Sorting Algorithms

    • Bubble Sort: Compares adjacent elements, swapping them if they're out of order. Repeats until no swaps are needed.

    • Insertion Sort: Builds the sorted array one element at a time. It repeatedly picks the next element and inserts it into the correct position within the sorted portion of the array.

    • Selection Sort: Divides the list into a sorted and unsorted region. Selects the smallest element from the unsorted region and moves it to the sorted region. Repeatedly selects the smallest and moves it to the sorted region.

    • Quick Sort: Selects a 'pivot' element, partitions the array into elements less than and greater than the pivot. Recursively applies this to subarrays.

    • Merge Sort: Divides the array into two halves, recursively sorts each half, and then merges the sorted halves to produce a single sorted array. Iterates and compares elements to merge into sorted order. Divides arrays repeatedly until they are of size 1. Then merges adjacent sorted arrays.

    Studying That Suits You

    Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

    Quiz Team

    Related Documents

    Description

    Test your knowledge on various sorting algorithms such as Bubble Sort, Insertion Sort, Selection Sort, Quick Sort, and Merge Sort. Each algorithm has its own unique way of organizing data in an efficient manner. Learn how these algorithms work and their applications in computer science.

    More Like This

    Computer Science Fundamentals Quiz
    3 questions
    Algorithms and Data Structures Quiz
    13 questions
    Use Quizgecko on...
    Browser
    Browser