Solving Cubic Spline Interpolation with Conditions and Coefficients

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Cubic spline interpolation requires that the two spline functions meet smoothly at the interval boundary, which involves ensuring that the function values, first derivatives, and second derivatives are equal at that point. Specifically, the conditions are f_0(1) = f_1(1), f_0'(1) = f_1'(1), and f_0''(1) = f_1''(1). These three conditions create a system of equations that can be solved to find the coefficients a, b, and c for the spline functions. Understanding these conditions is crucial for successfully applying cubic spline interpolation. Properly applying these principles will lead to the correct computation of the unknown coefficients.
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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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