[Ipopt] IPOpt for l1 optimization?
Andreas Waechter
awaechter.iems at gmail.com
Wed Apr 11 16:30:16 EDT 2012
And with the linear constraints all together this will be an LP, so you
will probably be best off with an LP solver rather than a general NLP
solver.
Andreas Waechter
Associate Professor
Department of Industrial Engineering and Management Sciences
McCormick School of Engineering
Northwestern University
Evanston, IL 60208
USA
On 04/11/2012 01:29 PM, Frank E. Curtis wrote:
> min |x|
>
> is equivalent to
>
> min y
> s.t. -y <= x <= y, y >= 0
>
> and equivalent to
>
> min y + z
> s.t. x = y - z, (y,z) >= 0
>
> The latter two are smooth constrained problems.
>
> Frank E. Curtis
> P. C. Rossin Assistant Professor
> Industrial and Systems Engineering
> Lehigh University
> http://coral.ie.lehigh.edu/~frankecurtis
> <http://coral.ie.lehigh.edu/%7Efrankecurtis>
>
>
> On Wed, Apr 11, 2012 at 2:00 PM, Frank Kampas <fkampas at msn.com
> <mailto:fkampas at msn.com>> wrote:
>
> I think the technique in question is sometimes referred to as
> "goal programming".
>
> -----Original Message----- From: Paul van Hoven
> Sent: Wednesday, April 11, 2012 1:51 PM
> To: Peter Carbonetto
> Cc: ipopt at list.coin-or.org <mailto:ipopt at list.coin-or.org>
> Subject: Re: [Ipopt] IPOpt for l1 optimization?
>
>
> Thank you for the answer Peter. Can you recommend some sources on this
> topic of transformation?
>
> Am 11. April 2012 18:33 schrieb Peter Carbonetto
> <pcarbo at uchicago.edu <mailto:pcarbo at uchicago.edu>>:
>
> Is there an absolute value in that objective function you are
> minimizing? If
> so, then the answer is no, because the objective is non-smooth
> (it has
> undefined derivatives at zeros). But you can convert this to
> an equivalent
> smooth optimization problem with additional inequality
> constraints. There is
> quite a bit of literature on this topic.
>
> Peter Carbonetto, Ph.D.
> Postdoctoral Fellow
> Dept. of Human Genetics
> University of Chicago
>
>
> On Wed, 11 Apr 2012, Paul van Hoven wrote:
>
> I've got the following problem:
>
> min_x sum_{i=1}^N | <x,c_i> |
> s.t. Ax < 0
>
> <x,c_i> denotes the standard scalar product between x and c_i.
>
> Is this a problem that can be solved appropriately with IPOpt?
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