Template for computing f'(x) syms xx f(xx) = ... your choice of function x = h = 1; m = 0; % choose a value for x % initial step length % initially 0 sig digits are correct any other variables you define while m < 5% loop until criterion is met your code goes here h=h/2; end Alper Y Matlab graded • Repeat for Backward Divided Difference and then for Central Divided Difference • FDD: f'(x): • BDD: f'(x) • CDD: f'(x) f(x+h)-f(x) = h f(x)-f(x-h) = h f(x+h)-f(x-h) 2h

Template for computing f'(x) syms xx f(xx) = ... your choice of function x = h = 1; m = 0; % choose a value for x % initial step length % initially 0 sig digits are correct any other variables you define while m < 5% loop until criterion is met your code goes here h=h/2; end Alper Y Matlab graded • Repeat for Backward Divided Difference and then for Central Divided Difference • FDD: f'(x): • BDD: f'(x) • CDD: f'(x) f(x+h)-f(x) = h f(x)-f(x-h) = h f(x+h)-f(x-h) 2h

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter6: Modularity Using Functions

Section6.4: A Case Study: Rectangular To Polar Coordinate Conversion

Problem 9E: (Numerical) Write a program that tests the effectiveness of the rand() library function. Start by...

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(Numerical) Write a program that tests the effectiveness of the rand() library function. Start by initializing 10 counters to 0, and then generate a large number of pseudorandom integers between 0 and 9. Each time a 0 occurs, increment the variable you have designated as the zero counter; when a 1 occurs, increment the counter variable that’s keeping count of the 1s that occur; and so on. Finally, display the number of 0s, 1s, 2s, and so on that occurred and the percentage of the time they occurred.
Going missing Some calculations involving blank values may give different results to what you might expect. For example, when you pass a blank value into the AND() function, it is treated as TRUE. This is often unhelpful. To make blanks behave in a sensible way in calculations, you must first convert them to be "not available" using NA(). This function takes no inputs, and returns a missing value. To convert a blank value to a missing value, use this pattern. =IF(ISBLANK(cell), NA(), cell) Instruction In column H, use AND() to find women who have kids and get benefits. In column I, convert the blanks in column G to missing values. In column J, again find women who have kids and get benefits, this time using column I rather than G. please show the formula used to "has kids and gets benefits" , "gets benefits with missing values", has kids and gets benefits". Thank you Is non-white Has over 12 years of school? Is married? Has kids? Has young kids? Is head of household? Gets…
Define a function in loop_functions.py named count_collatz that takes a single paramater named a_0. This function takes a positive intenger a_0 and returns the minimum number of iterations required to find a term equal to 1. In other words, this function counts how many terms it takes to reach 1. Look at the list below for examples. You may use if statements but for and while loops are preferred.
In loop functions.py, define a function named permutations that takes two paramters, n and r, in that order. This function returns the number of different permutations of length r from set of size n. Essentially to calculate these permutations, the function should compute the product (n - r+1)*(n-r+2)*(n-r+3)*...*(n-2)*(n-1) or n!/(n-r)!. No if statements or built in math functions should be used. For or while loops are best reccomended.
fx = 3 - x**3 - x**5 - 2.7183**-x NR iteration on the addion picture part ı uploaded example with a precision of 4digits and the inital guess of 2.0000 Please write a Pyhton code for NR iteration solution of the previous function. Implementation of the derivative should be an approximation through limit theorem.
int functionC (int n) { int i, j, sumC = 0; for (i=n; i > 0; i=i-5) for (j=1; j 0) { if (functionC(n) % 2 == 0) { for (i=m; i > 0; i=i/3) sumE++; } else (10) Asymptotic runtime of functionE { for (i=m; i > 0; i=i-3) sumE--; } n--; } return sumE;
import numpy as npfrom scipy.optimize import minimizeimport matplotlib.pyplot as pltimport pickle #Implement the function calAnaliticalSolution def calAnaliticalSolution(X,y): # Inputs: # X = N x d # y = N x 1 # Output: # w = d x 1 (which is the parameter calculated from data X and label y using alalytical solution) # IMPLEMENT THIS METHOD - REMOVE THE NEXT LINE w = np.zeros((X.shape[0],1)) return w #Implement the function calRegressionError def calRegressionError(w,Xtest,ytest): # Inputs: # w = d x 1 # Xtest = N x d # ytest = N x 1 # Output: # mse = scalar value (which is the error of the regression model) # IMPLEMENT THIS METHOD - REMOVE THE NEXT LINE mse = 0 return mse Xtrain,ytrain,Xtest,ytest = pickle.load(open('diabetes.pickle','rb')) x1 = np.ones((len(Xtrain),1))x2 = np.ones((len(Xtest),1))Xtrain_i =…
Part (a) Write a python function that computes the binomial coefficient ("). The function should return the correct answer for any positive integer n and k where k=m pass Part (c) Suppose that the number of people in the trial is 100. Then: • Plot a curve that shows how the probability of type 1 error changes with the choice of m, for m = 1,...n assuming that the null hypothesis holds (in red), • On the same picture, plot the probability of type 2 error vs the value of m in the case in which the new drug is effective with proability 0.68 (in blue). You can plot the two curves using matplotlib.pyplot. You can select the color by passing color='r' or color='b' to the plt.plot() function. [4]: n - 100 # your code here def plot_curve (): pass [5]: plot_curve() Part (d) Based on the picture above, what value of m do you think would be suitable to keep both type 1 and type 2 error small at the same time? (You may assume that the company claims the new drug has 68% accuracy) [6]: # your…
The numpy module contains functions to generate random permutations. Given a non-negative integer n, every permutation of 2n numbers can be turned into a matching by taking the first half of the permutation entries (i.e., the first n numbers) and connecting each of them to the corresponding entry in the second half (i.e., the last n numbers). Use this method to write a function random_matching that takes n and returns a randomly selected matching of 2n numbers in the form of a list of n tuples, where each tuple contains two integers. Note: Ensure that the tuples are returned such that the first integer is less than the second integer. To demonstrate that your code works, draw the arc diagrams for five randomly chosen matchings of 20 numbers.
What will happen if the pseudo code given below executes? func(x): IF x < 50: PRINT X x=x*5 RETURN func(x) /Tester func(2) DOutput values 2,10,50 will be printed Function has a parameter which takes integer As there is no base case error will occur Maximum limit of recursion will be exceeded
Topic: Loops and Nesting Subject: Discrete Mathematics Kindly solve 3 & 4 Using programming language through WOLFRAMCLOUD . i want program for these and outputs too .