Write a function that takes two sorted arrays as input and merges them into a single sorted array. The function should return the merged array. The input arrays are already sorted in ascending order, and they may have different lengths. You can assume that both arrays contain only integers. Example: Input: Array 1: [1, 3, 5, 7, 9] Array 2: [2, 4, 6, 8, 10, 12] Output: Merged Array: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12] Write a function `mergeSortedArrays that takes two sorted arrays as parameters and returns a single merged array that contains all the elements in sorted order.

Cloud computing benefits? Cloud computing risks and challenges? Do cloud computing's benefits outweigh its drawbacks? Is belief necessary? Cloud infrastructure may help in several situations:

///////1/////. Given an array of integers, write a PHP function to find the maximum element in the array. PHP Function Signature: phpCopy code function findMaxElement($arr) { // Your code here } Example: Input: [10, 4, 56, 32, 7] Output: 56 You can now implement the findMaxElement function to solve this problem. Let me know answer. //. .

//convert array of numbers from farenheit to celcius// example:// argument: [23, 32, 41, 50, 59]// return: [-5, 0, 5, 10, 15]// hint: use Array.mapfunction toCelcius(array){ } //write a function that takes an input array and returns an array of booleans (>=75) or fail (<75)// example:// argument: [20, 30, 50, 80, 90, 100]// return: [false, false, false, true, true, true]// hint: use Array.mapfunction passOrFail(array){ }

Program in C++

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()

Write a function that determines the average of the values in an array. In the main() function declare a floating point array with a length of 8 elements, and have the user enter the value of each element using a loop. The program should then call and pass the array to the function, then display the average.

Complete this code using Python   m1 = [] #Matrix 1m2 = [] #Matrix 2#Write a function that will return the addition of Matrix A and B.#Create a new matrix C that will hold the addtion result of Matrix A and B (A+B).#Return the resultant matrix Cdef addMatrix(A,B):#Write your code here#Write a function that will return the subtraction of Matrix B from A.#Create a new matrix C that will hold the substraction result of Matrix B from A (A-B).#Return the resultant matrix Cdef subsMatrix(A,B):#Write your code here#Write a function that will return the multiplication of Matrix A and B.#Create a new matrix C that will hold the multiplication result of Matrix A and B (A*B).#Keep in mind,in order to perform matrix multiplication, the number of columns in Matrix A must be equal to the number of columns in Matrix B. #Return the resultant matrix Cdef multipyMatrix(A,B):#Write your code here#Write a function that will transform matrix A to the transpose of matrix A.#The transpose of a matrix means…

(_9.). Given an array of integers, write a PHP function to find the maximum element in the array. PHP Function Signature: phpCopy code function findMaxElement($arr) { // Your code here } Example: Input: [10, 4, 56, 32, 7] Output: 56 You can now implement the findMaxElement function to solve this problem. Expect.

In cpp