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fmincon with constraints on eigenvalues

조회 수: 3 (최근 30일)
Ben
Ben 2013년 3월 3일
Hello everybody, I need to perform an optimization on matlab, I'm using fminsearch, but I realized that I need to put some constraints on a part of the parameter vector.
my parameter vector size is 20*1, I need the matrix :
K= Vec2mat(param(1:9),3) to have eigenvalues with positive real parts.
I wrote: [param, ML] = fmincon(@(param) Myfct(param,maturity,Data),param0,[],[],[],[],[],[],@Myconstr, options)
with the function Myconstr being:
function [c,ceq] = Myconstr(x) c = -real(eig(vec2mat(x(1:9),3)))'; ceq=[]; end
but it doesn't seem to work. Appreciate any help.
Thanks
  댓글 수: 5
Ben
Ben 2013년 3월 3일
Thanks Shashank for your reply, I didn't see your comment while posting my message. Here is my error msg:
??? Error using ==> eig Input to EIG must not contain NaN or Inf.
Error in ==> Myconstr at 3 c = -real(eig(vec2mat(x(1:9),3)))';
Error in ==> nlconst at 816 [nctmp,nceqtmp] = feval(confcn{3},x,varargin{:});
Error in ==> fmincon at 720 [X,FVAL,LAMBDA,EXITFLAG,OUTPUT,GRAD,HESSIAN]=...
Error in ==> Main at 22 [param, ML] = fmincon(@(param) KalmanFilterCorr(param,maturity,Data),param0,[],[],[],[],[],[],@Myconstr, options)
I'm trying to implement a model (an affine 3-factors IR model, the 3 factors are level slope and curvature), I did KalmanFilter+MLE to estimate the model parameters (K: mean reversion matrix, sigma: volatility matrix, theta: mean vector and lambda: decay)
Model : dXt = K(theta-Xt)*dt + sigma*dWt
where: Xt=(Lt, St, Ct)
my parameter vector contains the elements of the matrix K (9 elements) and theta (3) and the volatility matrix (6, inf triangular)
Matt, Vec2mat is there to convert a vector into a matrix, same as reshape
Thanks for your help.
Matt J
Matt J 2013년 3월 3일
편집: Matt J 2013년 3월 3일
What does (6, inf triangular) mean? Do you mean that it is lower triangular?

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답변 (1개)

Matt J
Matt J 2013년 3월 3일
편집: Matt J 2013년 3월 3일
As Shashank said, we need to see KalmanFilterCorr to know what's going on, but it looks like you have reached values for params(1:9) that are not finite and therefore EIG complains.
Using the DBSTOP command ("dbstop if naninf") will force MATLAB to pause execution at the point in the code where nan/inf values for params are generated. Then you can see what's going on.

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