5- Consider the following data points: x: 1 2 4 5 y: 2 3 5 7 a. Using the given data points, derive the Lagrange interpolating polynomial P(x) that passes through all the points. Show all steps in your calculations, including the formulation of the Lagrange basis polynomials. b. Calculate the value of the polynomial P(x) at x=3. c. Discuss how the Lagrange interpolating polynomial can be used to approximate the value of the function at points not included in the original data set. Explain the significance of the interpolation error and how it relates to the degree of the polynomial. d. Write a MATLAB script to compute and plot the Lagrange interpolating polynomial based on the provided data points. Include the original data points in the plot and show the polynomial curve.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section9.5: Systems Of Linear Equations In More Than Two Variables
Problem 43E
Question
5-
Consider the following data points:
x: 1 2 4 5
y: 2 3 5 7
a. Using the given data points, derive the Lagrange interpolating polynomial P(x) that
passes through all the points. Show all steps in your calculations, including the
formulation of the Lagrange basis polynomials.
b. Calculate the value of the polynomial P(x) at x=3.
c. Discuss how the Lagrange interpolating polynomial can be used to approximate the value
of the function at points not included in the original data set. Explain the significance of
the interpolation error and how it relates to the degree of the polynomial.
d. Write a MATLAB script to compute and plot the Lagrange interpolating polynomial
based on the provided data points. Include the original data points in the plot and show
the polynomial curve.
Transcribed Image Text:5- Consider the following data points: x: 1 2 4 5 y: 2 3 5 7 a. Using the given data points, derive the Lagrange interpolating polynomial P(x) that passes through all the points. Show all steps in your calculations, including the formulation of the Lagrange basis polynomials. b. Calculate the value of the polynomial P(x) at x=3. c. Discuss how the Lagrange interpolating polynomial can be used to approximate the value of the function at points not included in the original data set. Explain the significance of the interpolation error and how it relates to the degree of the polynomial. d. Write a MATLAB script to compute and plot the Lagrange interpolating polynomial based on the provided data points. Include the original data points in the plot and show the polynomial curve.
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