How Can Lagrange Interpolation Be Implemented in Software Development?

AI Thread Summary
The discussion focuses on developing software to compute polynomial functions using the Lagrange interpolation method. The program requires input of a specified number of data points, including independent variable values (Xi) and their corresponding dependent variable values (F(Xi)). These data points will be stored in arrays, with the interpolation value stored separately. The implementation will involve two loops in the code to calculate the interpolated value F(X) based on the provided data. Resources for understanding the Lagrangian interpolation algorithm are suggested, including numerical methods textbooks and Wikipedia.
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Basically I've got to design and develop a software for computing a polynomial function involving a set of data points. I've got to use an algorithm based on the lagrange interpolation method. I know it should involve two loops inside the code.

What I've been told is that
"The input to the program should consist of a
given number of data points 'n', the values of the independent
variables 'Xi' and the dependent variable 'F(Xi)' at each point,
and the 'X' value for interpolation. The data points will be
stored in arrays "x[]" and "f[]", and the 'X' value for
interpolation is stored in "x_value". Your program should
be able to determine 'F(X)' using this information."

Anyone got any ideas?
 
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You should be able to find a good explanation of the Lagrangian interpolation algorithm in just about any numerical methods textbook or even on Wikipedia I imagine.
 
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