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Thread Subject: Improving precision in fminunc

Subject: Improving precision in fminunc

From: Mads

Date: 7 Oct, 2009 13:08:01

Message: 1 of 3

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Hi,

I am trying to minimize a non-linear function in two varibles. To test whether it works, I have tried using a function to which I know the solution. When my starting guess IS the solution, fminunc of course returns the starting guess as it should. However, when I vary the starting guess just slightly, the precision of the result is bad. Is there a way to increase the precision of the result?

Best regards and thanks a lot!

Mads

Subject: Improving precision in fminunc

From: Marcus M. Edvall

Date: 8 Oct, 2009 00:02:00

Message: 2 of 3

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You can setup the problem with tomSym, as per this page for example:
http://tomsym.com/nlp_programming_matlab.html

Then 1st and 2nd order derivatives will be generated automatically and
your precision will become the best it can be.

Best wishes, Marcus
http://tomopt.com/
http://tomdyn.com/

Subject: Improving precision in fminunc

From: Alan Weiss

Date: 8 Oct, 2009 12:02:06

Message: 3 of 3

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Mads wrote:
> Hi,
>
> I am trying to minimize a non-linear function in two varibles. To test whether it works, I have tried using a function to which I know the solution. When my starting guess IS the solution, fminunc of course returns the starting guess as it should. However, when I vary the starting guess just slightly, the precision of the result is bad. Is there a way to increase the precision of the result?
>
> Best regards and thanks a lot!
>
> Mads
There are some ideas on improving results here:
http://www.mathworks.com/access/helpdesk/help/toolbox/optim/ug/br44i2r.html

In particular, try changing to central finite differences
http://www.mathworks.com/access/helpdesk/help/toolbox/optim/ug/br44i2r.html#br544um-1
or, even better, supply a gradient and Hessian if you can
http://www.mathworks.com/access/helpdesk/help/toolbox/optim/ug/br44i2r.html#br544vw-1
http://www.mathworks.com/access/helpdesk/help/toolbox/optim/ug/br44i2r.html#br544qb-1

Of course, you can always fool around with tolerances
http://www.mathworks.com/access/helpdesk/help/toolbox/optim/ug/br44i2r.html#br5440b-1

Alan Weiss
MATLAB mathematical toolbox documentation

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Tag Activity for This Thread
Tag	Applied By	Date/Time
optimization	Mads	7 Oct, 2009 09:09:07
precision	Mads	7 Oct, 2009 09:09:07
fminunc	Mads	7 Oct, 2009 09:09:06

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