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.
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.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F300b15ac-57aa-4c15-868a-80fa613938b2%2Fb47a0ebf-9923-4976-8c08-4026dd19e9ce%2Ftmepr47_processed.jpeg&w=3840&q=75)
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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