Friday, March 30, 2012
Office is closed the 5th, 6th and 8th of April 2012
Due to Easter vacation the office is closed the 5th, 6th and 8th of April 2012.
Wednesday, March 14, 2012
Portfolio optimization whitepaper in MATLAB, R and Python
We revised our whitepaper on portfolio optimization.
The whitepaper gives an introduction to portfolio optimization using the MOSEK conic optimizer from MATLAB, R and Python and includes topics such as:
The Markowitz portfolio optimization whitepaper and data can be downloaded from the MOSEK publications page.
The whitepaper gives an introduction to portfolio optimization using the MOSEK conic optimizer from MATLAB, R and Python and includes topics such as:
- Conic formulations of standard Markowitz portfolio problems.
- Minimum risk/maximum return formulations.
- Computing the efficient frontier.
- Computing the maximum Sharpe ratio.
- Exploiting low-rank structure in the covariance matrix to reduce solution time, including factor models.
- Transaction costs with market impact, modeled as a conic quadratic problem.
- Transactions costs with a fixed term, modeled as a conic mixed-integer problem.
The Markowitz portfolio optimization whitepaper and data can be downloaded from the MOSEK publications page.
Labels:
MATLAB
,
MOSEK
,
Portfolio optimization
,
Python
,
R
Monday, March 5, 2012
Server licenses are now available
Until now all licenses MOSEK has sold have been floating licenses. For most of our customers this has been a very convenient type of license but not for all. Therefore, as of the 5th March of 2012 a server license is also available. A server license corresponds to having an unlimited number of licenses available on a prespecified computer/server. Please see our price list for details or contact MOSEK sales.
Labels:
MOSEK
,
server license
Thursday, March 1, 2012
MOSEK version 6.0.0.135
MOSEK version 6.0.0.135 is available for download at the MOSEK website.
The most important new feature in this release is support for conic quadratic optimization (aka. SOCP) in the AMPL interface. Hence, it is now possible to specify conic quadratic constraints directly in AMPL using a MOSEK specific suffix named cone. Please see the AMPL documentation for details.
The other major changes are:
The most important new feature in this release is support for conic quadratic optimization (aka. SOCP) in the AMPL interface. Hence, it is now possible to specify conic quadratic constraints directly in AMPL using a MOSEK specific suffix named cone. Please see the AMPL documentation for details.
The other major changes are:
- Fixed a number of bugs in the mixed integer optimizer.
- Fixed some bugs in the AMPL interface.
- Fixed a bug occurring under special circumstances in the interior-point optimizer when multiple threads are employed.
- Fixed a bug in the dual simplex optimizer.
Labels:
AMPL
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conic quadratic
,
MOSEK
,
release
,
second order cone
,
SOCP
DrugMatrix now employs MOSEK
DrugMatrix, an on-line tool by the US Department of Health and Human Services, now employs MOSEK to compute the database of scorable genomic signatures.
Labels:
DrugMatrix
,
MOSEK
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