Randomize_it Write a function in C++ that takes an array as a parameter and then randomize that array, i.e. shuffles the position of the elements in random order. To randomize the array your function should perform random 100 swaps of any two elements in the array. Return the randomized array from the function. vector randomize(vector input){ // code here }

Part 2: Unroll Write a function called unroll, which takes in a square array of arrays (i.e. a grid with n rows and n columns). An input could look like this: const square = [ [1, 2, 3, 4], [5, 6, 7, 8], ]; [9, 10, 11, 12], [13, 14, 15, 16] unroll should take in such a square array and return a single array containing the values in the square. You should obtain the values by traversing the square in a spiral: from the top- left corner, move all the way to the right, then all the way down, then all the way to the left, then all the way up, and repeat. For the above example, unroll should return [1, 2, 3, 4, 8, 12, 16, 15, 14, 13, 9, 5, 6, 7, 11, 10].

Matrix Multiplication• Write a multiplication function that accepts two 2D numpy arrays,and returns the product of the two. This function should test that thearrays are compatible (recall that the number of columns in the firstmatrix must equal the number of rows in the second matrix). Thisfunction should test the array sizes before attempting themultiplication. If the arrays are not compatible, the function shouldreturn -1. solve in python

C++ program: Write a function that accepts an array/vector as an input and calculate the sum of all the elements in the array. This function must use recursion to achieve this. Show code: Please show all steps.

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 the following function #input: a numerical vector x #output:the normalized vector, i.e. the vector rescaled into [0,1] # the formula to normalize is (x-min(x))/ (max(x)-min(x)) # you can NOT use the functions min and max # you can use %%, nrow, ncol, and length # you can write multiple functions

One dimension array in C:Create an array of 100 integer elements and initialize the array elements to zero.Populate the array (using a for loop) with the values 10,20,30,..., 990,1000.Write code (using for loops) to sum all the elements and output the sum to the screen. without using #define

Q_8. Decription:- 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 problems. .

getting error please help