Re: Numerical Optimization involving equation solving

*To*: mathgroup at smc.vnet.net*Subject*: [mg56005] Re: [mg55969] Numerical Optimization involving equation solving*From*: Chris Chiasson <chris.chiasson at gmail.com>*Date*: Wed, 13 Apr 2005 01:10:42 -0400 (EDT)*References*: <200504120926.FAA27654@smc.vnet.net>*Reply-to*: Chris Chiasson <chris.chiasson at gmail.com>*Sender*: owner-wri-mathgroup at wolfram.com

try changing the "definition of the f function" so that it "only accepts numerical arguments". f[x_?NumericQ]:=(stuff;Return[ans];) On Apr 12, 2005 5:26 AM, Brian Rogers <brifry at gmail.com> wrote: > I need to optimize a function of one variable, say > f[x_]:=(stuff;Return[ans];). Computing the value of f requires solving > a (non-linear) system of equations that depend on x, and using this > solution to compute some other things. > > Now, evaluating f at a numerical value of x works just fine, and I can > even plot f (using Plot[f[x],{x,0,1}]) and eyeball the optimum. By the > way, f is a very well behaved function--it is typically smooth and > globally convex. However, what I really want to do is use FindMinimum > (or NMinimize) to numerically return the optimum. When I use either of > these built-in functions, they crash. I believe that they are first > trying to evaluate f[x] symbolically--which would understandably cause > it to crash because the system of equations doesn't have a closed form > solution in x. > > I've tried using the "Compiled" option with no luck. How can I force > FindMinimum to use a purely numerical procedure to optimize my > function? > > Any help is greatly appreciated, and please copy any reply to > brifry at gmail.com. > Thanks! > > -- Chris Chiasson Kettering University Mechanical Engineering Graduate Student 1 810 265 3161

**Follow-Ups**:**Re: Re: Numerical Optimization involving equation solving***From:*DrBob <drbob@bigfoot.com>

**References**:**Numerical Optimization involving equation solving***From:*"Brian Rogers" <brifry@gmail.com>