       Re: FindFit with conditionals

• To: mathgroup at smc.vnet.net
• Subject: [mg57355] Re: [mg57307] FindFit with conditionals
• From: Edward Peschko <esp5 at pge.com>
• Date: Wed, 25 May 2005 06:03:05 -0400 (EDT)
• References: <200505240912.FAA19168@smc.vnet.net> <B8AB71D2-44E9-434B-BB5D-BACFA4B5579C@akikoz.net>
• Sender: owner-wri-mathgroup at wolfram.com

```On Tue, May 24, 2005 at 09:24:38PM +0900, Andrzej Kozlowski wrote:
> First , FindInstance does not hold its arguments (look at Attributes
> [FindInstance]) so of course it tries to evaluate NIntegrate[...] and
> you get he message complaining that the integrand is not numerical.
> Secondly, FindInstance uses similar methods to Reduce, which means it
> is esentially an "algebraic" function which uses exact methods. You
> can use it with non-exact inputs but I believe it will still use
> exact methods to find the answer, and it will not, I think,
> internaly perform any non-exact computations of the kind that you are
> trying to use. (Of course it will evaluate "non-exact" functions
> suplied as argumetns and it may use some "exact numerical methods"
> but still the main point is, I think, valid, and that it that like
> Reduce, it attempts to give exact answers and is not suitable for
> solving numerical (approximate) questions.

Fair enough -

but that still leaves me with the question - what's the best way to do this then?

IMO there should be (IMO) an easy way to say:

<built-in-function> [ f[x_,y_,z_], {x,y,z}, Integers ]

where
<built-in-function>

is a mathematica function,

f[x_,y_,z_...]

is an expression or series of chained expressions, and

{x,y,z}

is a list of arguments to pass to function, and which vary from evaluation
to evaluation via global optimization tools, and

Integers

which is the domain over which {x,y,z} can vary.

I'm agnostic on the algorithm being deterministic, algebraic, or approximative,
but IMO this would be a very expressive way of solving problems that otherwise
would be very messy.

Just my 2 cents.

Ed

```

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