Help with 'fminsearch'
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Hi
I am fitting an exponential to my data using least squares, as in:
************************************************************
t = 0:7 ;
rel = [629 537 460 375 334 286 249 227];
fh = @(x,p) p(1) + p(2)*exp(-x./p(3))
errfh = @(p,x,y) sum((y(:)-fh(x(:),p)).^2)
p0 = [mean(rel) (max(rel)-min(rel)) (max(t) - min(t))/2];
P = fminsearch(errfh,p0,[],t,rel)
plot(t,rel,'bo',t,fh(t,P),'r-')
************************************************************
However, now I wish to increase MaxFunEvals. How can I do this, when I use fminsearch in this fashion?
Best, Niles.
댓글 수: 5
Oleg Komarov
2012년 5월 9일
Usually oprimization routines all have a varargin input. Edit fminsearch or fminbnd.
답변 (2개)
Oleg Komarov
2012년 5월 9일
P = fminsearch(errfh,p0,optimset('MaxFunEvals',1000),t,rel)
댓글 수: 2
Oleg Komarov
2012년 5월 9일
What do you mean it did not have the desired effect?
Try to reduce it to 10 or 50. Keep in mind it's a local solver.
Walter Roberson
2012년 5월 9일
You cannot increase MaxFunEvals when you use fminsearch in that fashion, as fminsearch takes a maximum of 3 inputs, not the 5 you are using. The function handle you provide to fminsearch must take exactly one argument. The initial guess follows the function handle, and the options structure (if provided) follows that.
댓글 수: 4
Walter Roberson
2012년 5월 9일
Guessing about what you are trying to pass to what:
P = fminsearch(@(p) errfh(p,t,rel), p0, optimset('MaxFunEvals',1000));
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