       Re: nonlinear programming with differential-algebraic constraints (2)

• To: mathgroup at smc.vnet.net
• Subject: [mg52120] Re: nonlinear programming with differential-algebraic constraints (2)
• From: Peter Pein <petsie at arcor.de>
• Date: Thu, 11 Nov 2004 04:52:37 -0500 (EST)
• References: <cmsok4\$b72\$1@smc.vnet.net>
• Sender: owner-wri-mathgroup at wolfram.com

```Joerg Schaber wrote:
> I made a little example to illustrate the problem:
>
> I want to fit a model which is stated as a system of differenttial
> equations to some data.
>
> (* curve to be fitted *)
> f[t_]:=Exp[-0.1*t]+Random[Real,{0,0.1}];
> data={#,Evaluate[f[#]]}&/@Table[t,{t,0,10,1}];
>
> ListPlot[data,PlotStyle\[Rule]{RGBColor[0,0.2,0.8],PointSize[0.02]}];
>
> (* the parameter 0.1 is to be found *)
> (* the model as a differential equations *)
> model:=NDSolve[{y'[t]==-a*y[t],y==1}/.a->0.05,y,{t,0,10}];
>
> (* minimizing sum of squares *)
> NMinimize[{squares=Plus@@Table[(Table[{#,y[t]/.Evaluate[model][]/.t->#}&/@
> 		Table[t,{t, 0, 10, 1}]][[i, 2]]-data[[i,2]])^2,
> 		{i, Length[data]}], a > 0}, a,
> 		Method -> {"DifferentialEvolution"},
> 		StepMonitor :> Print[squares, a],
> 		WorkingPrecision -> 8]
>
>
> The main problem seems to be that the differential equation does not get
> evaluated in each step but only once.
>
> So if anybody could make this example work that would be great.
>
> best,
>
> joerg
>
Hi Jörg,

I changed the code to let me play more easily with different ranges and
counts of points. I changed f to produce a relative error and finally I
version 5 of Mathematica:

In:=
(*curve to be fitted*)
n = 50;
f[t_] := Exp[-0.1*t]*Random[Real, {0.9, 1.1}];
data = {#, Evaluate[f[#]]} & /@ (10 Range[0, n]/n);
ListPlot[data, PlotStyle -> {RGBColor[0, 0.2, 0.8], PointSize[0.02]},
Axes -> False, Frame -> True];
(*Plot ommitted*)
In:=
(*the parameter 0.1 is to be found*)
(*the model as a differential equations*)
(*evaluate only for numeric a, and increment a counter*)
model[a_?NumericQ] := (solvecount++;
NDSolve[{y'[t] == -a*y[t], y == 1},
y, {t, Sequence @@ First /@ data[[{1, -1}]]}]);
In:=
solvecount = 0;
FindMinimum[(#1 . #1 & )[
(y[#1] /. Evaluate[model[a]][] & ) /@ First /@ data -
Last /@ data
], {a, 0, 1}]
solvecount
Out=
{0.0672762, {a -> 0.101174}}
Out=
816

As you can see, model[] has been called 816 times.

I hope this helped,
Peter
--
Peter Pein
Berlin

```

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