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(Solved): Lagrange Interpolating Polynomial Using the data: x=[2,3,5],f(x)=[4,7,11], construct the Lagrange in ...



Lagrange Interpolating Polynomial Using the data:

x=[2,3,5],f(x)=[4,7,11],

construct the Lagrange interpolating polynomial of order 1. Evaluate

f(4)

. 10. Newton Divided Difference Using the data:

x=[1,2,3,4],f(x)=[1,8,27,64]

construct the Newton divided difference interpolation polynomial. Evaluate

f(2.5)

. 11. Weighted Mean Value Theorem for Integrals Verify the Weighted Mean Value Theorem for Integrals for the function

f(x)=e^(x)

over the interval

0,1

. Find the value of

c

that satisfies the theorem. 3 12. Taylor Series Approximate

e^(x)

at

x=0.5

using a Taylor series expansion about

x=0

up to the third-order term. Compare the approximation to the actual value of

e^(0.5)

. 13. Curve Fitting (Least Squares Error) Fit a quadratic polynomial of the form

y=a+bx+cx^(2)

to the following data:

x=[1,2,3,4],y=[1,1.5,2.2,3.1].

Determine the coefficients

a,b,c

using the least-squares method. 14. Multiple Linear Regression Given the following data:

x_(1)=[1,2,3,4],x_(2)=[2,4,6,8],y=[2.5,3.6,5.1,6.3],

fit a multiple linear regression model of the form

y=a+b_(1)x_(1)+b_(2)x_(2)

. Find the coefficients

a,b_(1),b_(2)

. 15. Curve Fitting Interpolation Given the data:

x=[1,3,5],y=[2,4,6]

construct a quadratic interpolation polynomial. Evaluate

y(4)

.



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