Restructure Newton's method (Case Study: Approximating Square Roots) by decomposing it into three cooperating functions: newton , limitReached , and improveEstimate.
Restructure Newton's method (Case Study: Approximating Square Roots) by decomposing it into three cooperating functions: newton , limitReached , and improveEstimate.
Computer Networking: A Top-Down Approach (7th Edition)
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![Restructure Newton's method (Case Study: Approximating Square Roots)
by decomposing it into three cooperating functions: newton ,
limitReached , and improveEstimate.
The newton function can use either the recursive strategy of Project 2 or
the iterative strategy of the Approximating Square Roots Case Study. The
task of testing for the limit is assigned to a function named
limitReached , whereas the task of computing a new approximation is
assigned to a function named improveEstimate . Each function expects
the relevant arguments and returns an appropriate value.
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8e591061-a2a7-47af-82ee-5c2348fd9f5e%2F1b063e3f-ca56-42ab-916f-468ec9f63ce0%2Fskyja99_processed.png&w=3840&q=75)
Transcribed Image Text:Restructure Newton's method (Case Study: Approximating Square Roots)
by decomposing it into three cooperating functions: newton ,
limitReached , and improveEstimate.
The newton function can use either the recursive strategy of Project 2 or
the iterative strategy of the Approximating Square Roots Case Study. The
task of testing for the limit is assigned to a function named
limitReached , whereas the task of computing a new approximation is
assigned to a function named improveEstimate . Each function expects
the relevant arguments and returns an appropriate value.
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
![1 # Modify the code below
3 Program: newton.py
4 Author: Ken
5 Compute the square root of a number.
6 1. The input is a number.
7 2. The outputs are the program's estimate of the square root
using Newton's method of successive approximations, and
Python's own estimate using math.sqrt.
8.
11
12 import math
13
14 # Receive the input number from the user
float(input("Enter a positive number: "))
|15 x =
16
17 # Initialize the tolerance and estimate
18 tolerance = 0.000001
19 estimate = 1.0
20
21 # Perform the successive approximations
22 while True:
estimate = (estimate + x / estimate) / 2
difference = abs(x - estimate ** 2)
if difference <= tolerance:
break
23
24
25
26
27
28 # Output the result
29 print("The program's estimate is", estimate)
30 print("Python's estimate is
', math.sqrt(x))
31](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8e591061-a2a7-47af-82ee-5c2348fd9f5e%2F1b063e3f-ca56-42ab-916f-468ec9f63ce0%2Fq5g9xu_processed.png&w=3840&q=75)
Transcribed Image Text:1 # Modify the code below
3 Program: newton.py
4 Author: Ken
5 Compute the square root of a number.
6 1. The input is a number.
7 2. The outputs are the program's estimate of the square root
using Newton's method of successive approximations, and
Python's own estimate using math.sqrt.
8.
11
12 import math
13
14 # Receive the input number from the user
float(input("Enter a positive number: "))
|15 x =
16
17 # Initialize the tolerance and estimate
18 tolerance = 0.000001
19 estimate = 1.0
20
21 # Perform the successive approximations
22 while True:
estimate = (estimate + x / estimate) / 2
difference = abs(x - estimate ** 2)
if difference <= tolerance:
break
23
24
25
26
27
28 # Output the result
29 print("The program's estimate is", estimate)
30 print("Python's estimate is
', math.sqrt(x))
31
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