Steve, More information is as follows:
- No. of unknowns: 3. These are the values of the pan angle, the tile angle and the focal length in meters to be optimized. - Differentiable: Yes. - Analytical Derivative: Not available. - Local Optimum sufficient: Yes. - Non Linear constraints: Yes. The number of constraints increases with the number of targets to be imaged. That being said, I want to start off with a very simple scenario where there's 1 target, and 1 camera. Thank you, Akshay. On Mon, Jun 24, 2013 at 12:19 PM, Steven G. Johnson <[email protected]>wrote: > It's hard to say much without knowing more about your problem. How many > unknowns? Is it differentiable? Do you have analytical derivatives? Is a > local optimum sufficient? Are there nonlinear constraints? > > Your best bet is just to try several algorithms in NLopt and pick the one > that works best. > > On Jun 24, 2013, at 2:23 PM, Akshay Morye <[email protected]> wrote: > > I have recently started playing around with nlopt for non-linear > optimization problems with the intention of utilizing the library for a > real-time application. The aim is to implement an optimization algorithm to > find the optimal PTZ parameters for a camera, given an objective function > and a set of inequality constraints. > > > > We have developed an Interior-Point method based approach to solve the > problem, and has been implemented in matlab. Can someone point me to a > direction such that I will be able to apply a similar approach, only using > nlopt instead of Matlab toolboxes? > > > > _______________________________________________ > NLopt-discuss mailing list > [email protected] > http://ab-initio.mit.edu/cgi-bin/mailman/listinfo/nlopt-discuss > -- Akshay A. Morye, Ph.D Candidate (Electrical Engineering), Control and Robotics Laboratory, UC Riverside. Ph: +1 951 941 3266 http://www.ee.ucr.edu/~amorye/
_______________________________________________ NLopt-discuss mailing list [email protected] http://ab-initio.mit.edu/cgi-bin/mailman/listinfo/nlopt-discuss
