Hi.
>
> Thanks Giles! I was looking in the wrong place. Any suggestions on examples
> for these classes (a math function example would be very nice)? I've found
> this link (very helpful) but I don't know what to code in the gradient
> method. In ParametricUnivariateFunction.value I just returned my function
> output with the params as arguments (plus x). For gradient, I'm in a pitch.
And I'm lacking context (sorry, I deleted your previous email from my
inbox)...
Anyways, the "gradient(double x, double ... parameters)" method should
return the partial derivatives with respect to the _parameters_. So, for
example:
---
public class ParamFuncExample implements ParametricUnivariateFunction {
public double value(double x, double ... p) {
return p[0] * x + p[1];
}
public double[] gradient(double x, double ... p) {
return new double[] { x, 1 };
}
}
---
HTH,
Gilles
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
