I want to know for what combinations of parameters (x,y) the following holds: Prob(X(x) + Y(y) < z) = alpha. X and Y are random variables (I want to look at different distributions), z and alpha are constants. I tried the following (simplified with X=Y):

 

Hi,

I get the following error message when I try to use the optimization package:

'Error, (in Optimization:-NLPSolve) abs is not differentiable at non-real arguments.'

I am confused, because the expression i try to optimize does not contain 'abs'. I try to optimize a rather complex expression, but I've played around with it quite a bit, and I never observe that it takes complex values, which it not is supposed to. I tried to take the real part of everything that goes into the expression, but it does not help. Any ideas?

 

I am using Maple to plot some parametric plots, and it works fine. It would be nice, however, to know what point corresponds to what parametric value, or at least some, or at the very least, what end of the curve/sequence of points belongs to what end of the range. Any ideas?

Thanks,

S.

<p>Hi. With the procedure below I want to evaluate the procedure 'OptEff' (which yields a pair of coordinates) for different values of one of the parameters 'delta', 'beta', 'r', 'alpha', 'm', where 'x' specifies which parameter in question, and I want the parameter to take the values given in 'x0'. I hoped that by 'for i in x0 do ...', I would be able to do this. However, all entries in L equals the first one, and corresponds to the first entry in 'x0'. I guess my use of 'subs' is not correct. Any help is appreciated.

I want to solve for the intersecting curve between two surfaces. The figure demonstrates what I mean in a plot, I'm interested in the curve between the red and the blue areas. (The surfaces are seen from above.) Ideally, I would just ask Maple to 'solve(surface1>surface2)', where the surfaces would depend on some parameters. This do, however, not work. (The functions (surfaces) has up to 7 input parameters, and combines heavyside functions and the max function.) I'm sure there is a way, though. Given my ignorance, I'm now pursuing to 'estimate' the curve, by somehow reading off the intersection numerically and using some regression or whatever. Any idea how to do this efficiently?