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Re: simple two step optimization

  • To: mathgroup at smc.vnet.net
  • Subject: [mg36945] Re: simple two step optimization
  • From: Jens-Peer Kuska <kuska at informatik.uni-leipzig.de>
  • Date: Thu, 3 Oct 2002 00:16:19 -0400 (EDT)
  • Organization: Universitaet Leipzig
  • References: <ane7nt$kan$1@smc.vnet.net>
  • Reply-to: kuska at informatik.uni-leipzig.de
  • Sender: owner-wri-mathgroup at wolfram.com

Hi,

you guess right and
if you hinder Mathematica to
evaluate opt[] for symbolic
arguments, with

opt[s_?NumericQ] := 
  Block[{x}, x /. Last[FindMinimum[x - 2.5(1 + Erf[x - s]), {x, 1, 3}]]]


NMinimize[] works as expected.

Regards
  Jens

Johannes Ludsteck wrote:
> 
> Dear MathGroup Members,
> 
> I want to minimize a function which returns the
> minimizing value (arg min) of another function.
> 
> For a simple example consider the following
> function opt which returns the arg min of x-2.5(1+Erf[x-s]).
> 
> opt[s_]:=Block[{x},  x/. Last[
>                 FindMinimum[x-2.5(1+Erf[x-s]), {x,1,3}]]]
> 
> Now in a second step I want (again this is only
> a simple example for illustrative purposes) to minimize
> (opt[s]-2)^2 with respect to s.
> 
> FindMininum has no problems with this.
> 
> FindMinimum[(opt[s]-2)^2,{s,0.9,1.1}]
> {3.18689*^-23, {s -> 0.9816}}\)
> 
> However, NMinimize surrenders(!!!). Typing
> 
> <<NumericalMath`NMinimize`
> NMinimize[(opt[s]-2)^2,{s,0.9,1.1}]
> only leads to the error message
> 
> FindMinimum::fmnum: Objective function
> 0.1 - 2.5 (1. +Erf[0.1 - 1. s]) is not real at {x} = {1.}.
> 
> There is nothing wrong with minimand. It has exactly
> one minimum in the Interval[{0.9,1.1}].
> 
> I guess the reason is that NMinimize calls opt[s]
> not with a numerical value for s. This causes the
> problem, since opt again calls FindMinimum.
> Why? Can someone explain the failure and tell me
> how to avoid this drawback? Wolfram Research boasts
> that NMinimize can handle any function...
> 
> I hope that nobody will recommend me to use FindMinimum
> here instead. I know that the example here could of
> course be solved by FindMinimum, but my real world
> application can not.
> 
> Best regards and thanks in advance,
>         Johannes Ludsteck
> 
> <><><><><><><><><><><><>
> Johannes Ludsteck
> Economics Department
> University of Regensburg
> Universitaetsstrasse 31
> 93053 Regensburg
> Phone +49/0941/943-2741


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