constrained least square fitting

Hey

I need some help with constrained least squares. I have a vector A(mx1). I need to fit a degree n-polynomial f with a constraint that the f(1)=f(m). I am acquainted with matlab but never done curve fitting and some lead will be great help.

Thanks

[Walter Roberson]

How strict does the tolerance have to be on f(1)=f(m) ? If they must be exactly equal, that can be difficult to achieve due to standard round-off error issues.

[Naresh]

round off errors are ok. I dont need very high precision.

Answer 1

[Oleg Komarov]

You can use lsqnonneg or if you have the Optimization TB then Least Squares (Model Fitting) Algorithms

Answer 2

[Naresh]

fmincon worked.

Thanks for the inputs. (cant use toolbox as such.. need to run several iterations..)