Unrecognized function or variable 'getIpOptions'.
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I try to use fmincon with options being
options = optimset('Algorithm', 'interior-point', 'Display', 'off', 'MaxIter', 10000);
and this is the error I get:
Unrecognized function or variable 'getIpOptions'.
Error in fmincon (line 822)
options = getIpOptions(options,sizes.nVar,mEq,flags.constr,defaultopt,10,0.01);
Error in model_fitting (line 40)
[parameters_opt,ll_opt]=fmincon(@(x) RW_model(x,learning_data,false), init, [], [], [],
[], lowerBound, higherBound, [], options);
I saw that others have the same issue, but I din't find any solution.
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Réponses (2)
Adam Danz
le 18 Nov 2019
Modifié(e) : Adam Danz
le 18 Nov 2019
The file getIpOptions.m should be stored in the directory identified below. Run this line of code which should open the directory where this function is stored and look for that function (for Windows)
winopen(fullfile(matlabroot,'toolbox\optim\optim'))
If the file exists, the path has somehow been removed. Restart Matlab and see if the problem goes away. If it doesn't go away, check your startup.m file (if that file exists) to determine if you're removing important paths. You could also try running restoredefaultpath.
If the file doesn't exist, is it possible that it was deleted?
14 commentaires
Jarry
le 15 Déc 2021
Modifié(e) : Jarry
le 15 Déc 2021
Reinstalling the Optimization Toolbox from Matlab Installer works for me (Ubuntu). Thanks @Walter Roberson
Dev Vaibhav
le 2 Mar 2022
Modifié(e) : Dev Vaibhav
le 2 Mar 2022
Thanks @Jarry . In my case, Optimization Toolbox was not installed and surprisingly, matlab did not show any error which directly says that the toolbox is not installed. Had to figure out a little bit to install the toolbox as well. But finally it worked !
uma
le 5 Mar 2020
Modifié(e) : Walter Roberson
le 5 Mar 2020
[at this point the user had a copy of the Mathworks pdist2 code]
After excuting this code i get this error:
pdist2(X, Y, metric)
Unrecognized function or variable 'X'.
1 commentaire
Walter Roberson
le 5 Mar 2020
X = rand(23,11);
Y = rand(3,11) ;
metric = 'cosine' ;
result = pdist2(X, Y, metric) ;
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