
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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Question
![Use the cubicSpline module to write
programs that interpolate between a given
data point with a cubic spline. The
program must be able to evaluate the
interpolant for more than one x value. As a
test, use the data points specified in the
previous Example and calculate the
interpolants at x = 1.5 and x = 4.5 (due to
symmetry, these values must be the
same)
import numpy as np
from cubicSpline import
*
xData = np.array([1,2,3,4,5], float)
yData = np.array([0,1,0,1,0], float)
k = curvatures (xData, yData)
while True:
try: x = eval(input("\nx ==> "))
except SyntaxError: break
print("y=", evalSpline (xData, yData, k, x))
input ("Done. Press return to exit")
Exercise
Fix the Cubic Spline Program
There is an error in the Cubic Spline
program, fix it and evaluate the values of x
1/2
= 1.5 and x = 4.5, where the results of both
values must be the same.](https://content.bartleby.com/qna-images/question/300b15ac-57aa-4c15-868a-80fa613938b2/b47a0ebf-9923-4976-8c08-4026dd19e9ce/tmepr47_thumbnail.jpeg)
Transcribed Image Text:Use the cubicSpline module to write
programs that interpolate between a given
data point with a cubic spline. The
program must be able to evaluate the
interpolant for more than one x value. As a
test, use the data points specified in the
previous Example and calculate the
interpolants at x = 1.5 and x = 4.5 (due to
symmetry, these values must be the
same)
import numpy as np
from cubicSpline import
*
xData = np.array([1,2,3,4,5], float)
yData = np.array([0,1,0,1,0], float)
k = curvatures (xData, yData)
while True:
try: x = eval(input("\nx ==> "))
except SyntaxError: break
print("y=", evalSpline (xData, yData, k, x))
input ("Done. Press return to exit")
Exercise
Fix the Cubic Spline Program
There is an error in the Cubic Spline
program, fix it and evaluate the values of x
1/2
= 1.5 and x = 4.5, where the results of both
values must be the same.
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