Next, add to you derivative function the capability to check for accuracy by comparing maximum errors between successive calculations of the derivative. You will need a while loop that checks when the maximum error is ≤ eps. To find the maximum array create a numpy array in your derivative function. Call it "maxe" where each element of the array would contain |dƒj+¹(x;) – dƒ³ (xi)|. j + 1 refers to the finer grid where the j + 1 grid would use twice as many points as the j grid. For example, j = 1 (the starting grid) would have N = 10 points, and the j + 1 grid would use 2N = 20 points, the j + 2 grid would use 40 points and so on. Now for the 1st pass through the while-loop you cannot converge you haven't started the comparison. So construct you code to avoid this situation. For this part of the laboratory, let's use for our function, f(x) = x logx

Next, add to you derivative function the capability to check for accuracy by comparing maximum errors between successive calculations of the derivative. You will need a while loop that checks when the maximum error is ≤ eps. To find the maximum array create a numpy array in your derivative function. Call it "maxe" where each element of the array would contain |dƒj+¹(x;) – dƒ³ (xi)|. j + 1 refers to the finer grid where the j + 1 grid would use twice as many points as the j grid. For example, j = 1 (the starting grid) would have N = 10 points, and the j + 1 grid would use 2N = 20 points, the j + 2 grid would use 40 points and so on. Now for the 1st pass through the while-loop you cannot converge you haven't started the comparison. So construct you code to avoid this situation. For this part of the laboratory, let's use for our function, f(x) = x logx

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()
Write a loop snippet (just a piece of code, not the whole program) that will sum every third element in a 1D array. The size of the array is held in the variable MAX. You will start with the first element in the array. The name of the array is testarray.
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There are 4 mistakes in the code. Can you please show me the mistakes?
ASSIGNMENT: Working with Vectors Write a menu-driven program that will allow the user to run any of the following questions. Please put the functions headers in h file and the functions definitions in a .cpp file. 1. Write C++ code for a loop that simultaneously computes both the maximum and minimum element in a given vector. 2. Write a function double scalar_product(vector a, vector b) that computes the scalar product of two vectors. The scalar product of two vectors A[al, a2, a3) and B(bl, b2, b3} is another vector C given by C{c1, c2, c3} where cl = al * b1, c2 = a2 + b2, c3 = a3 + b3. 3. Write a function that computes the alternating sum of all elements in a vector. For example, if alternatingSum() is called with a vector containing 149 16 9 7 4 9 11 then it computes 1-4+9-16+9-7+4-9+11=-2 4. Write a procedure reverse that reverses the sequence of elements in a vector. For example, if reverse is called with a vector containing 1 49 16 9 7 4 9 11 then the vector is changed 11 9 4 7…
I'm trying to create two functions where each calculates a cube. One that uses numpy and uses function power and can't use for loops. Other uses a range of intergers and returns a list of each range elements using pow. I can get each to cube but I can't figure out how to do it by defining a function. import numpy as nparray1 = np.array([3,5,10,9]) cubedarray1 = np.power(array1, 3)print('This is the cubed arrray 1: ', cubedarray1)array2 = range(1,10,2) # range is 1, 3, 5, 7, 9cubedarray2 = [pow(i, 3) for i in array2]print('This is the cubed array 2: ', cubedarray2)
print() can have at most 2 items separated by a comma within its parentheses TrueFalse Once set in a program, a variable's value cannot change later during the program's run. TrueFalse
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I have an error inside my simple javascript code, I want you to fix it. The code is simple. The code is supposed to print an array with 10 elements, but when it comes to one element inside the array, it is supposed to concatenate a string value The problem with my code is it is printing all elements of the array, but it is not concatenating a string to one element. The problem is inside my print_array_changed function Generally, the code is required to print all elements with one element having a concatenated string. Look inside the print_array_changed function and fix it to attain the desired goal Code // create an array and assign values inside it const Employees = [ "JACK", "JILL", "Homer", "Lisa", "Bart", "Marge", "Burns", "Maggie" , "Amy", "Bill", ] // This function prints all elements…