Hello everybody !!!! I have had to write a function for something which may be called "multivariate polynomial fitting".
Let's say you have a polynomial in several variables (ex 2) of degree (ex 2). It has the following shape : a x^2 + b xy + c y^2 + d The trouble is that you can evaluate it but you do not know its coefficients... Algebra tells you that if you can evaluate it at variable*(degree+1) different points, then you can guess the coefficients, because they are unique. I have written this function ( which is just the inversion of a vector ) for arbitrary number of variables/dimensions. Scipy seems only to provide a polyfit function ( in just one variable ), so it is not a good answer for what I have to do. * Do you think such a function would be useful in Sage ? In which case, where should I write it ? * Do you think it would be more useful directly in Scipy ? * Do you think it is useful at all ? Thank youuuuuuu !! :-) Nathann
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