how to find optimize value with two variables

i  have an objective function j where  j=x+1/y; and x and y are calculated for different values of dd such that dd=.5:.015:.20 i need to apply steepest ascent method to speed up the process  can u please help how can i do this  

[Rik]

Is this a fitting problem? If so, why not use the fit function? If not, have a read here and here. It will greatly improve your chances of getting an answer.

Answer 1

[dbmn]

If I understand correctly, you have:

x = f(dd);
y = g(dd);
j = f(dd) + 1/g(dd) = h(dd);

which is a one dimensional optimization problem. Check out fminsearch or fminbnd or simply write the steepest descent algorithm by yourself (ascend = -1*descent).

or are just certain values for dd to be used? Is y, x, freely chosable? more info needed.