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Re: nonLinearFit and nonLinearRegress
*To*: mathgroup at smc.vnet.net
*Subject*: [mg55316] Re: nonLinearFit and nonLinearRegress
*From*: Peter Pein <petsie at arcor.de>
*Date*: Sat, 19 Mar 2005 04:45:17 -0500 (EST)
*References*: <d1ecpc$etg$1@smc.vnet.net>
*Sender*: owner-wri-mathgroup at wolfram.com
John Hawkin wrote:
> I'm trying to do a nonLinear fit on some data, fitting a parameter
> which appears in the limits of the integral that I'm trying to fit.
> When I do a nonLinearFit, I get about a page of errors, but it does
> work. It takes about 10 minutes to do it for 20 points with a
> reasonable initial estimate. However when I use the nonLinearRegress
> command, even with the best fit parameter from nonLinearFit given as
> the initial guess, it takes hours to work. Is it possible there is a
> way to speed this up, and is this normal?
>
> The commands that I'm using to integrate this function are:
>
> h[B]:=2/(B pi) NIntegrate[x Sin[x] Exp[-(x/B)^3/2], {x, 0, inf},
> Method-Oscillatory];
> holts[c_, d_, Q_]:= NIntegrate[h[B], {B, c/Q, d/Q}];
>
> where holts is the function I am fitting (the h[B] integral is known
> as the Holtsmark integral). The fitting command I'm using is:
>
> NonlinearFit[fitData, holts[c,d,Q], {c,d}, {Q, estimateQ}];
>
> where fitData contains sets of size 3, with the values of c and d as
> the first two values, and the data point that I'm fitting the integral
> to as the 3rd value. If anyone has any ideas on how I can perform the
> nonlinear regression fast enough so that I can do it many times (maybe
> 50), I would greatly appreciate it. Thanks very much,
>
> John Hawkin
>
Hi John,
if you are working with reals only, you can try to integrate exactly
before approximating:
If you enter
Assuming[Element[B, Reals] && z > 0,
Integrate[(2*Integrate[(x*Sin[x])/E^((1/2)*(x/B)^2), {x, 0,
Infinity}])/(B*Pi), {B, 0, z}]]
or assuming z<0 and the outer integral going from z to 0 you get
h0[z_] := ((-Sqrt[2/Pi])*z + E^(z^2/2)*Erf[z/Sqrt[2]])/E^(z^2/2);
holts[c_, d_, Q_] := h0[d/Q] - h0[c/Q];
this should speed things up.
--
Peter Pein
Berlin
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