Comparison of the time complexity among different sorting algorithms ? (multiple choice) a. Best case of Selection sort is O(n^2) b. Best case of Radix sort is O(nlogn) c. Worst case of Selection sort is O(n^2) Od. Worst case of Merge sort is O(nlogn) e. Best case of Bubble sort is O(n^2) O f. Average case of Shell sort is O(n) O g. Average case of Insertion sort is O(n^2) h. Average case of Quick sort is O(n^2) i. Average case of Merge sort is O(nlogn) j. Worst case of Radix sort is O(n^2) Ok. Best case of Quick sort is O(n) OI. Worst case of Quick sort is O(n^2)

Comparison of the time complexity among different sorting algorithms ? (multiple choice) a. Best case of Selection sort is O(n^2) b. Best case of Radix sort is O(nlogn) c. Worst case of Selection sort is O(n^2) Od. Worst case of Merge sort is O(nlogn) e. Best case of Bubble sort is O(n^2) O f. Average case of Shell sort is O(n) O g. Average case of Insertion sort is O(n^2) h. Average case of Quick sort is O(n^2) i. Average case of Merge sort is O(nlogn) j. Worst case of Radix sort is O(n^2) Ok. Best case of Quick sort is O(n) OI. Worst case of Quick sort is O(n^2)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Related questions

Q: Q: Suppose we are comparing implementations of insertion sort and merge sort on the same machine.…

A: Merge sort It is a sorting approach primarily based totally on divide and overcome approach. With…

Q: What is the best case complexity (in terms of the number of comparisons) for standard (non-early…

A: Bubble sort is a simple comparison-based sorting algorithm that repeatedly swaps adjacent elements…

Q: Write a O(n) algorithm that sorts n distinct integers, ranging in size between 1 and kn inclusive,…

A: You can use the counting sort algorithm with a slight alteration to obtain O(n) time complexity for…

Q: Please answer all the parts thanks

A: First, you need to implement the sorting algorithms: Insertion Sort, Selection Sort, Merge Sort,…

Q: Question 5) Why do all cases have the same runtime in selection sort?

A: Given: The reason why the running time of the selection sort algorithm is consistent and does not…

Q: THON ALGORITHM WITH CIDE BELI.. 0.

A: The given code consists of two sorting algorithms, Insertion Sort and Selection Sort, implemented in…

Q: How is the complexity of the binary search algorithm derived? Group of answer choices: a) It…

A: The answer is

Q: Consider a hybrid sorting algorithm that combines Mergesort with Insertion Sort. It uses Mergesort…

A: Actually, Algorithm is a step by step process.

Q: rell as one n lgn sorting algorithm (Merge-Sort). Dozens, if not hundreds, of other sorting algo-…

A: It is defined as a procedure or formula for solving a problem, based on conducting a sequence of…

Q: The k-Quicksort algorithm is based on the following method for pivot selection.It starts by dividing…

A: Answer: In QuickSort, we first split the array in place so that all elements to the left of the…

Q: List L = A, B, N, M, P, R, quickly sorted. What conclusions have you drawn? How may the observations…

A: Sorting algorithms are fundamental concepts in computer science, as they provide a way to organize…

Q: Suppose we want to apply Radix Sort to sort 100,000 4-letter words, with each letter taken from the…

A: Assuming the counting sort take 2*n+2*k time to sort the n elements of rage 1 to k ; Case : 1 -…

Q: One disadvantage of using a For-loop in sorting algorithms is that the body of the For-loop is…

A: We need to write a version of Bubble Sort that avoids unnecessary comparisons. The idea here is to…

Q: This is not a test question. This is a pratice test.

A: a) Complete insertion sort python code def insertion_sort(A): if len(A) > 1: for i in…

Q: What is the order of the following data after 3 iterations (i.e. passes) of an descending (i.e.…

A: Lets apply the Descending insertion sort algorithm on given list: [99,6,62,87,75,5,42,98] in first…

Q: Quicksort is a powerful divide-and-conquer sorting algorithm that almost always runs in O(nlogn)…

A: Quick sort is used to sort elements. It has two methods for partitioning. Lomuto's method and…

Q: The design of Divide & Conquer can be simplified to General Recurrence Equation T(n) = a * T(n/b) +…

A: What is Divide & Conquer Algorithm ? Divide and Conquer can be divided into the following three…

Question

Comparison of the time complexity among different sorting algorithms ?
(multiple choice)
a. Best case of Selection sort is O(n^2)
b. Best case of Radix sort is O(nlogn)
c. Worst case of Selection sort is O(n^2)
Od. Worst case of Merge sort is O(nlogn)
e. Best case of Bubble sort is O(n^2)
O f. Average case of Shell sort is O(n)
O g. Average case of Insertion sort is O(n^2)
h. Average case of Quick sort is O(n^2)
i. Average case of Merge sort is O(nlogn)
j. Worst case of Radix sort is O(n^2)
Ok. Best case of Quick sort is O(n)
O 1. Worst case of Quick sort is O(n^2)

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step 3

VIEW

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.

Similar questions

Given the implementation of XXX Sort, show an example/sorting process. And is it stable? Insertion/selection sort, [9, 4, 5, 1, 5, 2]
An array is called a winner if it has two entries which together add up to a third entry, i.e. if A[i] + A[j] = A[k]for some i,j,k, where i≠j≠k. a)Write an algorithm (pseudocode preferred) to determine if a given array A is a winner. Your algorithm should not use any additional data structures. b)Analyze the running time of your algorithm using Big-O notation.
Question Which of the following statements about elementary sorting algorithms are true? Unless otherwise specified, assume that the sorting implementations are the ones from the lectures. Answer Mark all that apply. OThe number of compares to selection sort any array of n equal keys is - n. UThe expected number of exchanges to insertion sort a uniformly random array of n distinct keys is - 1/4 n^2. Selection sort uses only a constant amount of memory (other than the input array). UThe number of compares to selection sort a sorted array of n distinct keys is - n. UThe number of compares to insertion sort an array of n/2 Os followed by n/2 1s (e.g., 0000011111) is - 1/4 n^2.
Suppose arrays A and B are both sorted in increasing order and both contain n elements. What is the time complexity to find the median of A U B, i.e., the set of elements in A or B?
Plese Explain Q 5. Thank you.
In this problem, consider a non-standard sorting algorithm called the Slow Sort. Given anarray A[1 : n] of n integers, the algorithm is as follows: Slow-Sort(A[1 : n]):1. If n < 100, run merge sort (or selection sort or insertion sort) on A.2. Otherwise, run Slow-Sort(A[1 : n −1]), Slow-Sort(A[2 : n]), and Slow-Sort(A[1 : n −1]) again. Question: Prove the correctness of Slow-Sort.
Consider median-3 quick sort and bubble sort. When using these two algorithms to sort a list of n elements that have already been sorted in increasing order, which of the following is true for the worst-case time complexity?
A given implementation of bubble-sort takes on average 1 second to sort an array of 1000 elements. How many seconds do you expect sorting an array of 8000 elements will take? A given implementation of quicksort takes on average 0.1 seconds to sort an array of 1000 elements. How many seconds do you expect sorting an array of 8000 elements will take?
Considering the following algorithm, analyze its best case, worst case and average case time complexity in terms of a polynomial of n and the asymptotic notation of ɵ. You need to show the steps of your analysis.
For each question, an algorithm will be described that operates on N elements, and your answer should include: (a) a big-O expression that describes the total number of operations in the worst case (for ex- ample, O(N³)) (b) a description of how to achieve the same effect as the algorithm described, but achieved with a better big-O time bound (for example, "use mergesort instead of insertion sort") (c) the big-O time bound for your improved approach. Your improved algorithm does not need to be provably the best possible, but it should have a different and better big-O bound. (It may not be as simple as substituting one named algorithm for another; consider what is redundant about the work done by the existing algorithm.) You don't need to use pseudocode to describe your algorithms - the style used in the problem descriptions is also sufficient for your solutions. You can use pseudocode if you like. Do not write real code. If you wish to use an algorithm described in class, you can name…
(b) Explain in your own words why even the more efficient versions of bubble sort are considered to be slow algorithms. Illustrate your answer using the example data: {17, 15, 11, 13}
Given an unsorted array. The array has this property that every element in the array is at most k distance from its position in sorted array where k is a positive integer smaller than the size of the array. Which sorting algorithm can be easily modified for sorting this array and what is the obtainable time complexity? (A) Insertion Sort with time complexity O(kn) (B) Heap Sort with time complexity O(nLogk) (C) Quick Sort with time complexity O(kLogk) (D) Merge Sort with time complexity O(kLogk)