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)
.