Failure in initial objective function evaluation. FMINCON cannot continue

[Lambda] =(mean(Benchmark)-monatlrisikofreierZins)/(2*std(Benchmark)^2);
Zielfunktion = (@(Ausgangsgewichte)Ausgangsgewichte'*(-Alpha)+Lambda*(-(AktiveGewichte'*Kovarianz*AktiveGewichte)));
Aeq=[ones(1,assets);-Beta'];
beq=[1;-1];
OptimierteGewichte = fmincon(Zielfunktion,Ausgangsgewichte,[],[],Aeq,beq,untereGrenze,obereGrenze);
AktiveGewichte = OptimierteGewichte - BenchmarkGewichte;
Error using *
Incorrect dimensions for matrix multiplication. Check that the number of columns in the first matrix matches the number of rows in the
second matrix. To perform elementwise multiplication, use '.*'.
Error in RelativeOptimierung>@(Ausgangsgewichte)Ausgangsgewichte'*(-Alpha)+Lambda*(-(AktiveGewichte'*Kovarianz*AktiveGewichte))
Error in fmincon (line 546)
initVals.f = feval(funfcn{3},X,varargin{:});
Error in RelativeOptimierung (line 47)
OptimierteGewichte = fmincon(Zielfunktion,Ausgangsgewichte,[],[],Aeq,beq,untereGrenze,obereGrenze);
Caused by:
Failure in initial objective function evaluation. FMINCON cannot continue.

1 Comment

What do you get if you insert
size(Ausgangsgewichte)
size(Alpha)
size(AktiveGewichte)
size(Kovarianz)
before the line
Zielfunktion = ...
?
Furthermore, you will have to use .' instead of ' for transposition.

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Answers (1)

size(Ausgangsgewichte) = 1 8
size(Alpha) = 8 1
size(Kovarianz) = 8 8
Which one exactly should I transpose with ".'"?

5 Comments

size(AktiveGewichte) = ?
And please don't start new answers if you only want to place a comment.
The optimization toolbox will make Ausgangssgewichte a column vector. I'm a bit confused as this is the design variable, so you cannot actually call size(Ausgangsgewichte) which leads me to believe you assumed it to be of this size, but it is not.
@Brendan Hamm: What does that mean for my code. What do I have to change?
Try
Zielfunktion = @(Ausgangsgewichte) -Ausgangsgewichte*Alpha + Lambda*(-(AktiveGewichte*Kovarianz*AktiveGewichte.'));
But I'm confused about the part
Lambda*(-(AktiveGewichte*Kovarianz*AktiveGewichte.'))
If this part doesn't depend on "Ausgangsgewichte", you don't have to consider it in the objective function.

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Asked:

on 11 Apr 2019

Edited:

on 11 Apr 2019

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