Problem 6: Interpolation, least squares, and finite difference Consider the following data table: 0. 2.400 0.4 2.789 f(x) = 0.8 3.117 |1.2 3.332 A cubic spline interpolation over these data O is constructed as a cubic polynomial interpolating over all 4 data points. O None of the above. O is constructed by piece-wise locally cubic polynomial interpolation that has discontinuous first and second derivatives at the data points. 1s constructed by piece-wise locally cubic polynomial interpolation that maintains continuity of the first and second derivatives at the data points.
Problem 6: Interpolation, least squares, and finite difference Consider the following data table: 0. 2.400 0.4 2.789 f(x) = 0.8 3.117 |1.2 3.332 A cubic spline interpolation over these data O is constructed as a cubic polynomial interpolating over all 4 data points. O None of the above. O is constructed by piece-wise locally cubic polynomial interpolation that has discontinuous first and second derivatives at the data points. 1s constructed by piece-wise locally cubic polynomial interpolation that maintains continuity of the first and second derivatives at the data points.
Chapter3: Polynomial Functions
Section: Chapter Questions
Problem 18T
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Pls do it correct I need full explanation
![Problem 6: Interpolation, least squares, and finite difference
Consider the following data table:
0.
2.400
2.789
0.4
f(a:) =
0.8
2
3.117
1.2
3.332
A cubic spline interpolation over these data
O is constructed as a cubic polynomial interpolating over all 4 data points.
O None of the above.
O is constructed by piece-wise locally cubic polynomial interpolation that has discontinuous first and second derivatives at the
data points.
O is constructed by piece-wise locally cubic polynomial interpolation that maintains continuity of the first and second
derivatives at the data points.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0129dfc1-addc-4cdc-b8d1-e96915b08a6a%2F41d53a4d-d170-4cd0-a185-41b6695972c6%2Flwjnhc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Problem 6: Interpolation, least squares, and finite difference
Consider the following data table:
0.
2.400
2.789
0.4
f(a:) =
0.8
2
3.117
1.2
3.332
A cubic spline interpolation over these data
O is constructed as a cubic polynomial interpolating over all 4 data points.
O None of the above.
O is constructed by piece-wise locally cubic polynomial interpolation that has discontinuous first and second derivatives at the
data points.
O is constructed by piece-wise locally cubic polynomial interpolation that maintains continuity of the first and second
derivatives at the data points.
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