
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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The instructions are on the left, the code is on the right.

Transcribed Image Text:Instructions
newton.py
+
1 # Modify the code below
2 II I| ||
Convert Newton's method for approximating square roots in Project
3 File: newton.py
1 to a recursive function named newton . (Hint: The estimate of the
4 Project 6.1
5 Compute the square root of a number (uses function with loop).
6 1. The input is a number, or enter/return to halt the
input process.
8 2. The outputs are the program's estimate of the square root
square root should be passed as a second argument to the
function.)
7
An example of the program input and output is shown below:
9
using Newton's method of successive approximations, and
Python's own estimate using math.sqrt.
10
11 "|
Enter a positive number or enter/return to quit: 2
12
13 import math
The program's estimate is 1.4142135623746899
14
Python's estimate is
1.4142135623730951
15
Enter a positive number or enter/return to quit
16 # Initialize the tolerance
17 TOLERANCE = 0.000001
18
19 def newton (x):
20
"I"Returns the square root of x."""
21
# Perform the successive approximations
estimate = 1.0
23
while True:
(estimate + x / estimate) / 2
estimate ** 2)
24
estimate =
difference = abs(x
if difference <= TOLERANCE:
25
26
27
break
28
return estimate
29
30 def main():
31
I" I|"Allows the user to obtain square roots."""
32
while True:
33
# Receive the input number from the user
34
x = input("Enter a positive number or enter/return to quit: ")
35
if x == "":
36
break
x = float(x)
# Output the result
print("The program's estimate is", newton(x))
print("Python's estimate is
37
38
39
40
", math.sqrt(x))
41
42 if --name_-
%3D
'-_main__":
==
43
main()
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