• My words about the USL methodology

    From Ramine@21:1/5 to All on Mon Apr 18 12:31:07 2016
    Hello......

    As you have noticed i have come with a proof that
    makes you feel more that the USL methodology that
    makes forecasting of scalability possible is
    a success and is an amazing tool..

    Why have i done it this way ?

    Because Dr. Gunther the author of the USL methodology
    didn't spook about why his methodology works using
    nonlinear regression or polynomial regression, even
    on his book Guerilla capacity planning that explains
    his methodology, he didn't explain what why it works..
    so this is why i have come with a more precise
    proof that makes you feel why the nonlinear regression
    of the USL methodology works..

    Other than that, i think that we can be confident
    because Dr. Gunther is an expert that knows what
    he is doing , so this i why i think that the
    USL methodology is a success and is an amazing
    great tool that predicts sclability.

    Here is my contributions of my USL programs..

    I have first implemented a solver for my USL program that
    is polynomial regression, this solver must make
    the a0 coefficient of the mathematical series 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 my contribution is my USL programs that is called usl_graph
    that provides you with a more interractive graphical chart that
    permit you to optimize more the criterion of the cost, i think
    that the other R package is less powerful on this option.

    Also in my USL programs i have calculated and feed my nonlinear solver
    with partial derivatives of the USL equation:

    C(N) = N/(1 + α (N − 1) + β N (N − 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-freepascal


    Thank you,
    Amine Moulay Ramdane.

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