IIRC splines are basically polynomials, thus an optimization (or more
correctly, root-finding) algorithm designed specifically for polynomials
would probably be better. "Numerical Recipes in C" is your friend --
chapters 9 and 10 are very good.
Wish you luck :-)
------------------------------------------------------------------------
For every problem there is a solution which is simple, clean and wrong.
-- Henry Louis Mencken
Aurelien Chanudet wrote:
> Hi,
>
> I have myself implemented a BSpline interpolated term
> structure class but haven't yet contributed the code
> back because none of QuantLib numerical constrained
> optimisation methods seem to achieve satisfactory
> results in a reasonnable time (although Excel's solver
> does). When time permits, I'm planning to enhanced the
> built-in optimisation method. Any feedback or pointers
> on this is appreciated.
>
> Aurelien
>
>
>>Hi,
>>
>>I would like to implement a method with cubic
>>interpolation for an an interest curve so I need to
>>get
>>a newton Raphson algorithm to do that.
>>
>>Do you know if there is this algorithm in quantlib
>>or a solver wich takes my equations and my unknowns
>>?
>>
>>regards,
>>belak
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