Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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[画像: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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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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