C++ Programming: From Problem Analysis to Program Design
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN: 9781337102087
Author: D. S. Malik
Publisher: Cengage Learning
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IN PYTHON: import numpy as npimport numpy.linalg as la def smallest_eig(A):"""Given a positive definite symmetric matrix A,calculates the smallest eigenvalue of A andthe corresponding eigevector by using the inverseiteration. You are not allowed to use numpy.linalg functionsfor calculating the eigenvalues. However, you can usenumpy linalg functions for solving linear equations andfor calculating norms. Output: a tuple (lam, x), where lam is the smallesteigenvalue and x is the corresponding eigenvector """n = A.shape[0]lam = 0x = np.random.randn(n)passreturn (lam, x)
Develop a solution that will calculate the average temperature, given a set of temperatures. The number of temperatures may differ from time to time. (Use a trip values to stop the processing of the loop.) Test the solution with the following 10 temperatures.   78 90 85 80 87 83 75 90 86 70
As the algorithm performs division of numbers with high precision, it is very common to see really big numbers after the period (for example: 1200.2300001), which is not desirable because of several reasons: may cause confusion to some users when they see such big numbers; uses more memory to store a bigger number; it just does not make sense to display currency number in this format. For this reason, you are going to implement a utility function to format any number into the appropriate currency format, using 2 decimal places. For example: The number 1200.2300001 would be became: 1200.23
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