Mixed Integer Programming on QuantLib

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Mixed Integer Programming on QuantLib

simone pilozzi
Dear All,
This is to know if some implementation of Mixed Integer Programming is available on QuantLib. The problem is to translate a portfolio allocation in notionals (for futures) to an allocation in units. 
Many  Thanks in adavance
Simone

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Re: Mixed Integer Programming on QuantLib

Klaus Spanderen-2
Hi
 
Mixed integer programming is not available in QuantLib. I've used e.g. glpk ( http://www.gnu.org/software/glpk/) together with QuantLib in the past to solve this kind of problems.
 
regards
 Klaus 
 
 
simone pilozzi <[hidden email]> hat am 5. November 2013 um 18:13 geschrieben:

Dear All,
This is to know if some implementation of Mixed Integer Programming is available on QuantLib. The problem is to translate a portfolio allocation in notionals (for futures) to an allocation in units. 
Many  Thanks in adavance
Simone

 

------------------------------------------------------------------------------
November Webinars for C, C++, Fortran Developers
Accelerate application performance with scalable programming models. Explore
techniques for threading, error checking, porting, and tuning. Get the most
from the latest Intel processors and coprocessors. See abstracts and register
http://pubads.g.doubleclick.net/gampad/clk?id=60136231&iu=/4140/ostg.clktrk
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Re: Mixed Integer Programming on QuantLib

simone pilozzi
Thanks Klaus


On 6 November 2013 09:38, Klaus Spanderen <[hidden email]> wrote:
Hi
 
Mixed integer programming is not available in QuantLib. I've used e.g. glpk ( http://www.gnu.org/software/glpk/) together with QuantLib in the past to solve this kind of problems.
 
regards
 Klaus 
 
 
simone pilozzi <[hidden email]> hat am 5. November 2013 um 18:13 geschrieben:

Dear All,
This is to know if some implementation of Mixed Integer Programming is available on QuantLib. The problem is to translate a portfolio allocation in notionals (for futures) to an allocation in units. 
Many  Thanks in adavance
Simone

 


------------------------------------------------------------------------------
November Webinars for C, C++, Fortran Developers
Accelerate application performance with scalable programming models. Explore
techniques for threading, error checking, porting, and tuning. Get the most
from the latest Intel processors and coprocessors. See abstracts and register
http://pubads.g.doubleclick.net/gampad/clk?id=60136231&iu=/4140/ostg.clktrk
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