Problem 2 In Lecture Ten Interpolation.ipynb on GitHub, the python function lfun() computes the weight functions L;(x), and the function lagran_interp() computes the Lagrange interpolation polynomial. You may use these python functions or write your own program to compute problem 2(ii) below. (1) Use the following code to generate the array x: x = np.linspace(10,22.5,100) (ii) Using Lagrange interpolation and the data in the table in Problem 1, compute f(x) for the x you generated in problem 2(). And create a plot of f(x) against x. Solution to Problem 2:

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Problem 2
In Lecture Ten Interpolation.ipynb on GitHub, the python function lfun() computes the weight functions L;(x), and the function
lagran_interp() computes the Lagrange interpolation polynomial. You may use these python functions or write your own program to compute
problem 2(i) below.
(i) Use the following code to generate the array x: x = np.linspace(10,22.5,100)
(ii) Using Lagrange interpolation and the data in the table in Problem 1, compute f(x) for the x you generated in problem 2(i). And create a
plot of f(x) against x.
Solution to Problem 2:
Transcribed Image Text:Problem 2 In Lecture Ten Interpolation.ipynb on GitHub, the python function lfun() computes the weight functions L;(x), and the function lagran_interp() computes the Lagrange interpolation polynomial. You may use these python functions or write your own program to compute problem 2(i) below. (i) Use the following code to generate the array x: x = np.linspace(10,22.5,100) (ii) Using Lagrange interpolation and the data in the table in Problem 1, compute f(x) for the x you generated in problem 2(i). And create a plot of f(x) against x. Solution to Problem 2:
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