Re: FindFit with conditionals

*To*: mathgroup at smc.vnet.net*Subject*: [mg57366] Re: [mg57307] FindFit with conditionals*From*: Andrzej Kozlowski <andrzej at akikoz.net>*Date*: Wed, 25 May 2005 06:03:19 -0400 (EDT)*References*: <200505240912.FAA19168@smc.vnet.net> <B8AB71D2-44E9-434B-BB5D-BACFA4B5579C@akikoz.net> <20050524181807.GA23723@venus>*Sender*: owner-wri-mathgroup at wolfram.com

On 25 May 2005, at 03:18, Edward Peschko wrote: > 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. > Many functions that use exact methods, such as Integrate, Limit, Reduce already accept Assumptions and/or domains, although you should realize that there are rather few general algorithms for dealing with problems over the integers. For non-exact inputs, like your original problem, the thing to do is to use NMinimize or NMaximize. Let me quickly illustrate how to do this for a trivial problem; you can try to adapt this method to your original one. Suppose for example we need to find an integer a such that NIntegrate[x^3, {x, -1, a}] == 3.75 (the answer is a==-2 or a ==2 ). We have to formulate this as an optimization problem. For this purpose we define a function f[a_?NumericQ] := Abs[NIntegrate[x^3, {x, -1, a}] - 3.75] Note the use of pattern a_?NumericQ in the definition of NIntegrate, it is meant to prevent NIntegrate trying to evaluate before it receives a numerical value for a form NMinimize, since NMinimize does not hold its arguments. Now we try to solve an optimization problem: In[20]:= NMinimize[{f[a], a â?? Integers}, {a}] Out[20]= {4.440892098500626*^-16, {a -> -2}} If we wan tot find the posiitve solution we can impose an additional constraint: NMinimize[{f[a], a â?? Integers && a > Plus[0]}, {a}] {1.3322676295501878*^-15, {a -> 2}} I think this is the best you can hope for for the kind of problems you seem to have in mind. Andrzej Kozlowski

**References**:**FindFit with conditionals***From:*Edward Peschko <esp5@pge.com>

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