Re: Re: Apparent accuracy error in least squares fit
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- Subject: [mg66256] Re: [mg66206] Re: Apparent accuracy error in least squares fit
- From: "Chris Chiasson" <chris at chiasson.name>
- Date: Fri, 5 May 2006 05:03:38 -0400 (EDT)
- References: <e346pr$7rn$1@smc.vnet.net> <e39kgv$cqu$1@smc.vnet.net> <200605040920.FAA09491@smc.vnet.net> <200605041624.38589.daniel.ortega@uca.es>
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The code shows I tried with both data sets you gave. ?? On 5/4/06, Daniel Ortega <daniel.ortega at uca.es> wrote: > Of course, I told you that with this dataset, the program worked. The trouble > appears when the experimental values are lower; for instance: > > {300., 2.7933}, {350., 2.7832}, {400., 2.7452}, {450., 2.6898}, > {500., 2.5623}, {550., 2.3616}, {600., 2.0242}, {650., 1.5675}, > {700.,1.0732}, {740., 0.693}} > > Using them, the fitting procedure diverges, throwing the message: > > FindRoot::lstol: The line search decreased the step size to within > tolerance \ > specified by AccuracyGoal and PrecisionGoal but was unable to find > a \ > sufficient decrease in the merit function. You may need more than > \ > MachinePrecision digits of working precision to meet these > tolerances. > > Thank you very much Chris. > > El Jueves, 4 de Mayo de 2006 11:20, escribió: > > Here is what I get. There are no error messages. > > > > In[1]:= > > $Version > > Out[1]= > > 5.2 for Microsoft Windows (June 20, 2005) > > In[2]:= > > f[T_,Ms_]=Ms-Mo*Coth[(a+b*Ms)/T]+Mo*T/(a+b*Ms) > > Out[2]= > > \!\(Ms + \(Mo\ T\)\/\(a + b\ Ms\) - Mo\ Coth[\(a + b\ Ms\)\/T]\) > > In[3]:= > > data={{300.,2.7933},{350.,2.7832},{400.,2.7452},{450.,2.6898},{500., > > > > 2.5623},{550.,2.3616},{600.,2.0242},{650.,1.5675},{700.,1.0732},{740., > > 0.693}} > > Out[3]= > > {{300.,2.7933},{350.,2.7832},{400.,2.7452},{450.,2.6898},{500.,2.5623},{550 > >., 2.3616},{600.,2.0242},{650.,1.5675},{700.,1.0732},{740.,0.693}} In[4]:= > > g=Apply[Plus,Map[Sqrt[f[#[[1]],#[[2]]]^2]&,data]]; > > In[5]:= > > {sol1,sol2}=NMinimize[{g,0<a,0<b,Mo>0},{a,b,Mo}] > > Out[5]= > > {3.41302,{a\[Rule]17.3187,b\[Rule]6.81003,Mo\[Rule]91.5214}} > > In[6]:= > > data={{300.,9.4478},{350.,9.1237},{400.,8.6531},{450.,8.0999},{500., > > > > 7.4426},{550.,6.706},{600.,5.8785},{650.,4.9522},{700.,3.8981},{750., > > 2.9685}} > > Out[6]= > > {{300.,9.4478},{350.,9.1237},{400.,8.6531},{450.,8.0999},{500.,7.4426},{550 > >., 6.706},{600.,5.8785},{650.,4.9522},{700.,3.8981},{750.,2.9685}} In[7]:= > > g=Apply[Plus,Map[Sqrt[f[#[[1]],#[[2]]]^2]&,data]]; > > In[8]:= > > {sol1,sol2}=NMinimize[{g,0<a,0<b,Mo>0},{a,b,Mo}] > > Out[8]= > > {0.479589,{a\[Rule]0.00152594,b\[Rule]194.249,Mo\[Rule]11.3153}} > > -- > Daniel Ortega Ponce > -- http://chris.chiasson.name/
- References:
- Re: Apparent accuracy error in least squares fit
- From: "Chris Chiasson" <chris.chiasson@gmail.com>
- Re: Apparent accuracy error in least squares fit