comp.programming

Ramine

4/17/2016 9:41:00 PM

On 4/17/2016 2:34 PM, Ramine wrote:
> Hello,
>
> I have wrote before that:
>
> "I have first implemented a solver for my USL program that
> is polynomial regression, this solver must make
> the a0 coefficient of the mathematical serie to 0, but this solver
> is not so efficient as my other solver that i have implemented
> that is nonlinear regression using the simplex method of
> of Nelder and Mead as a function minimization, this nonlinear
> solver that i have implemented works perfectly and is more
> efficient than the solver that uses polynomial regression"
>
> Also in my USL programs i have calculated and feed my nonlinear solver
> with partial derivates of the USL equation:

I mean: partial derivatives, not partial derivates.


>
> C(N) = N/(1 + α (N â?? 1) + β N (N â?? 1))
>
> I have calculated the partial derivative with respect to
> α of the above USL equation, and i have calculated the partial
> derivative with respect to β of the above USL equation, and the
> two partial derivatives must be given to my nonlinear solver
> that uses the simplex method of of Nelder and Mead as a function
> minimization.
>
> Please try my USL programs because they are working great and
> they predict scalability !
>
> I have included the 32 bit and 64 bit windows executables of my
> programs inside the zip file to easy the job for you.
>
> You can download my USL programs version 3.0 with the source code from:
>
> https://sites.google.com/site/aminer68/universal-scalability-law-for-delphi-and-...
>
>
>
> Thank you,
> Amine Moulay Ramdane.
>