Solving Cubic Spline Interpolation with Conditions and Coefficients

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SUMMARY

The discussion focuses on solving cubic spline interpolation for two functions defined over specific intervals. The functions are f0 = x3 + ax2 + bx + c for the interval -1 ≤ x ≤ 1 and f1 = 2x3 + x2 - x + 4 for the interval 1 ≤ x ≤ 2. The necessary conditions for these splines to meet smoothly include f0(1) = f1(1), f0'(1) = f1'(1), and f0''(1) = f1''(1), leading to three equations that can be solved for the coefficients a, b, and c.

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  • Cubic spline interpolation concepts
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  • Algebraic equation solving techniques
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Homework Statement


Consider the use of cubic splines to interpolate a set of data. Suppose at some stage in the calculation we arrive at the following spline functions for two consecutive intervals

\tilde{f_{0}} = x^{3} + ax^{2} + bx + c over the interval -1 \leq x \leq 1
\tilde{f_{1}} = 2x^{3} + x^{2} - x + 4 over the interval 1 \leq x \leq 2


a) State the conditions that should be imposed on the two functions
b) Hence, compute a, b and c

I'm having a bit of difficulty getting started with this question. I've managed to do Lagrangian and Newton interpolation okay, but the lecture notes covering cubic splines do not go into much detail, so I honestly have no idea what to do. If anyone can provide a bit of help then I'd appreciate it.

Thanks in advance.
 
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To be a spline the to pieces must meet smoothly. That is, you must have f_0(1)= f_1(1), f_0'(1)= f_1'(1), and f_0"(1)= f_1"(1). Those three conditions give you 3 equations to solve for a, b, and c.
 

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