Package Newton’s method for approximating square roots (Case Study: Approximating Square Roots) in a function named newton. This function expects the input number as an argument and returns the estimate of its square root. The program should also include a main function that allows the user to compute the square roots of inputs from the user and python's estimate of its square roots until the enter/return key is pressed. An example of the program input and output is shown below: Enter a positive number or enter/return to quit: 2 The program's estimate is 1.4142135623746899 Python's estimate is 1.4142135623730951 Enter a positive number or enter/return to quit: 4 The program's estimate is 2.0000000929222947 Python's estimate is 2.0 Enter a positive number or enter/return to quit: 9 The program's estimate is 3.000000001396984 Python's estimate is 3.0 Enter a positive number or enter/return to quit

Package Newton’s method for approximating square roots (Case Study: Approximating Square Roots) in a function named newton. This function expects the input number as an argument and returns the estimate of its square root. The program should also include a main function that allows the user to compute the square roots of inputs from the user and python's estimate of its square roots until the enter/return key is pressed. An example of the program input and output is shown below: Enter a positive number or enter/return to quit: 2 The program's estimate is 1.4142135623746899 Python's estimate is 1.4142135623730951 Enter a positive number or enter/return to quit: 4 The program's estimate is 2.0000000929222947 Python's estimate is 2.0 Enter a positive number or enter/return to quit: 9 The program's estimate is 3.000000001396984 Python's estimate is 3.0 Enter a positive number or enter/return to quit

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter1: Fundamentals Of C++ Programming

Section1.3: Preliminary Three: Software Development

Problem 7E: (Statistics) This is the formula for the standard normal deviate, z, used in statistical...

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