[Scilab-users] Optimization question

[ebmb.sci]

 Hello All,
 please, could someone guide me on how to proceed to minimize the following
polynomial using functions optim and numdiff. Since the parameters A and B
have different constraints (i.e.: A = [0 1] and B = [1000 2000]), how must I
sign the values and pass them for optim? I implemented a basic script to try
to do it, but it always returns with wrong results.

function f = myFc(x)
   a = x(1);
   b = x(2);
   f = 0.000791 + 0.000027*a + -0.000037*b + 0.000180*a*b + -0.000126*a^2 +
-0.000162*b^2;
endfunction

function [f, g, ind] = myFcCost(x, ind)
        f = myFc(x);
        g = numdiff(myFc, x);
endfunction

x0 = [0 1];

[fopt, xopt] = optim(myFcCost, 'b', [0 1], [1000 2000], x0);

 I am so thanks for any help in advance!

 Best regards,
 Eduardo.




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