y 23 45 60 82 111 140 167 198 200 220 Then, do the following (print the results): 1. Use linear interpolation to approximate the value of y when x- 15. 2. Use linear interpolation to approximate the value of y when x- 10:5:100. 3. Use cubie spline interpolation to approximate the value of y when x = 15. 4. Use cubie spline interpolation to approximate the value of y when x 10:5:100. 5. Plot the original data and the interpolated data (linear and Cubic spline) on an *y plot, the plot must include a title, labels for axes, legend, use appropriate styles for markers and lines.
y 23 45 60 82 111 140 167 198 200 220 Then, do the following (print the results): 1. Use linear interpolation to approximate the value of y when x- 15. 2. Use linear interpolation to approximate the value of y when x- 10:5:100. 3. Use cubie spline interpolation to approximate the value of y when x = 15. 4. Use cubie spline interpolation to approximate the value of y when x 10:5:100. 5. Plot the original data and the interpolated data (linear and Cubic spline) on an *y plot, the plot must include a title, labels for axes, legend, use appropriate styles for markers and lines.
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...
Related questions
Question
Please solve quickly Matlab
Transcribed Image Text:Example (1): Write a MATLAB program to create x and y vectors to represent the
following data:
10
20
30
40
50
60
70
80
90
100
23
45
60
82
111
140
167
198
200
220
Then, do the following (print the results):
1. Use linear interpolation to approximate the value of y when x= 15.
2. Use linear interpolation to approximate the value of y when x= 10:5:100.
3. Use cubic spline interpolation to approximate the value of y when x = 15.
4. Use cubic spline interpolation to approximate the vahue of y when x =
10:5:100,
5. Plot the original data and the interpolated data (linear and Cubic spline) on an
x-y plot, the plot must include a title, labels for axes, legend, use appropriate
styles for markers and lines.
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