Answered: T/F: Selection Sort has both a best…

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Computer Science

T/F: Selection Sort has both a best case and worst case runtime of 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

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Prompt: In Python language, write a function that applies the logistic sigmoid function to all elements of a NumPy array. Code: import numpy as np import math import matplotlib.pyplot as plt import pandas as pd def sigmoid(inputArray): modifiedArray = np.zeros(len(inputArray)) #YOUR CODE HERE: return(modifiedArray) def test(): inputs = np.arange(-100, 100, 0.5) outputs = sigmoid(inputs) plt.figure(1) plt.plot(inputs) plt.title('Input') plt.xlabel('Index') plt.ylabel('Value') plt.show() plt.figure(2) plt.plot(outputs,'Black') plt.title('Output') plt.xlabel('Index') plt.ylabel('Value') plt.show() test()
01. ""Implementation of the Misra-Gries algorithm.Given a list of items and a value k, it returns the every item in the listthat appears at least n/k times, where n is the length of the array By default, k is set to 2, solving the majority problem. For the majority problem, this algorithm only guarantees that if there isan element that appears more than n/2 times, it will be outputed. If thereis no such element, any arbitrary element is returned by the algorithm.Therefore, we need to iterate through again at the end. But since we have filtredout the suspects, the memory complexity is significantly lower thanit would be to create counter for every element in the list. For example:Input misras_gries([1,4,4,4,5,4,4])Output {'4':5}Input misras_gries([0,0,0,1,1,1,1])Output {'1':4}Input misras_gries([0,0,0,0,1,1,1,2,2],3)Output {'0':4,'1':3}Input misras_gries([0,0,0,1,1,1]Output None. """
Heapsort has heapified an array to: 91 41 13 34 63 55 and is about to start the second for loop. What is the array after the first iteration of the second for loop? Ex: 98, 36, 41
Create a program that can find the mode of a sorted dynamic array and print it. If there is more than one mode found print them in ascending order. Example of array: {20, 30, 30, 50, 70 , 80, 80, 90, 100}. no sorting necessary
Computer Science
Select all the statements that are false, bubble sort is defined below:* Quicksort is the fastest sorting algorithm If you are lucky, you can get O(n) time complexity in Mergesort On the worst case, Bubble sort will give you O(n logn) time complexity Average time complexity of insertion sort is much better than bubble sort Selection sort has the worst space complexity among all the sorting algorithm
struct grade { char id[10]; int mark; }; Using the student structure given above, create an array of size 5 students. Then write a complete C program to sort the students array based on the students rank. Use the following sorting techniques in your code. Don’t forget to print initial array and final (sorted) array. a. Insertion sort b. Merge sort c. Quick sort
Select the appropriate code that performs selection sort. a) int min; for(int j=0; j<arr.length-1; j++) { min = j; for(int k=j+1; k<=arr.length-1; k++) { if(arr[k] < arr[min]) min = k; } int temp = arr[min]; arr[min] = arr[j]; arr[j] = temp; } b) int min; for(int j=0; j<arr.length-1; j++) { min = j; for(int k=j+1; k<=arr.length; k++) { if(arr[k] < arr[min]) min = k; } int temp = arr[min]; arr[min] = arr[j]; arr[j] = temp; } c) int min; for(int j=0; j<arr.length-1; j++) { min = j; for(int k=j+1; k<=arr.length-1; k++) { if(arr[k] > arr[min]) min = k; } int temp = arr[min]; arr[min] = arr[j]; arr[j] = temp; } d) int min; for(int j=0; j<arr.length-1; j++) { min = j; for(int k=j+1; k<=arr.length; k++) { if(arr[k] > arr[min]) min = k; } int temp = arr[min]; arr[min] = arr[j]; arr[j] = temp; }
Given a sorted list 8, 12, 26, 39, 45, 51, 67, 78. Find 51 in an array of the above elements using the following algorithm. Write down the coding in c++ programming and provide the output: 1. Sequential algorithm 2. Binary search algorithm
this function c++ accept vector , replace this vector to array void merge_sort_4(vector<int> lst,int start,int end){if (start < end){int quarter1 = (start + end) / 4;int quarter2 = (start + end) / 2;int quarter3 = (end - quarter1 - 1); merge_sort_4(lst, start, quarter1);merge_sort_4(lst, quarter1 + 1, quarter2);merge_sort_4(lst, quarter2 + 1, quarter3);merge_sort_4(lst, quarter3 + 1, end); merge4(lst, start, quarter1, quarter2, quarter3, end);}}void merge4(vector<int> lst,int start,int q1,int q2,int q3,int end){vector<int> first_q_list;for(int i=start;i<q1+1;i++)first_q_list.push_back(lst[i]);vector<int> sec_q_list;for(int i=q1+1;i<q2+1;i++)sec_q_list.push_back(lst[i]);vector<int> third_q_list;for(int i=q2+1;i<q3+1;i++)third_q_list.push_back(lst[i]);vector<int> last_q_list;for(int i=q1+1;i<end+1;i++)last_q_list.push_back(lst[i]);int…
# Initialize sets A and BA = { 'a', 'b', 'c', 'd', 'e', 'f' }B = { 'c', 'd', 'f', 'h', 'j', 'k' } print('A = ', sorted(A))print('B = ',sorted(B))print(' ') AsymdiffB = set()# put your code here to compute the symmetric difference of A and B# first add all the elements that are in A but not B# then add all the elements that are in B but not A print('Symmetric Difference of A and B = ', sorted(AsymdiffB))