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Re: Get list of function variables?

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  • Subject: [mg83576] Re: Get list of function variables?
  • From: Albert <awnl at>
  • Date: Fri, 23 Nov 2007 05:34:58 -0500 (EST)
  • References: <fhjs5v$4t3$> <fhu7j5$7b1$> <fi3jvl$bqs$>

Hi Jason

> I am aware that the "solutions" I posted do not hold in general. My
> basic desire for the getVariables function was to help generate a new
> function with those variables (and another set of the same size). I
> wanted a notebook that could give the the error function for ANY
> function the user inputed without having to do any work. Maybe there's
> a better way than how I did it (but I have a working notebook so I'm
> better off than I was).
> In other words give some function, say, the price to carpet an "x" by
> "y" by "z" room at "w" per square unit area:
> f(w,x,y,z)=w(x*y*z)
> I want the sigma error on f given sigma errors on the variables. So a
> new function "ef"
> ef(x,y,z,ex,ey,ez)
> where ef is defined by the usual error propagation equation a sum over
> partial derivatives squared. The "e" prefix denotes the sigma error on
> the corresponding variable. Note the new function recognizes w as a
> parameter.
> If I went about this in some ass-backwards fashion by grabbing the
> variables from f directly, I'm a little bit embarrassed but would be
> interested in knowing a better way.

I think for what you want to achieve you should really look into pure 
functions and define your functions as those, e.g.:


those are easier to pass around as objects (since you don't need to care 
about wasting your namespace with symbols that hold the downvalues), the 
function getVariables is much simpler, since you just need to extract 
the first argument:


or maybe if you want your code to be more robust:


of course then you need to handle the extra Hold...

Finally when you need to calculate derivatives, this is also very 
convenient and can be done with using either named or positional 
arguments, where the later directly returns a function again, so you 
don't need to mess around with reconstructing functions from expressions 
in a save way:


or with positional arguments:

Derivative[0, 1, 0, 0][f]



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