SDPT3 version 3.02 -- a MATLAB software for semidefinite-quadratic-linear
programming
This research is supported in part by National University
of Singapore, Singapore-MIT Alliance, NSF through grant DMS-9805602 and ONR
through grant N00014-96-1-0050, and NSF through grant CCR-9875559.
The software was updated in December 2002.
It implemented an infeasible path-following algorithm for solving conic
optimization problems involving semidefinite, second-order and linear cone
constraints. Note: problem data must be
real
- SDPT3-3.02.tar.gz(for
unix), SDPT3-3.02.zip(for
Windows)
Please read. Welcome to
SDPT3-3.02! The software requires a few Mex files for execution. You
can generate these executable files as follows:
- Firstly, unpack the software.
For Windows: unzip
SDPT3-3.02.zip in Windows; Others: tar -z -xvf
SDPT3-3.02.tar.gz
- Run Matlab in the directory SDPT3-3.02
- In Matlab command window, type:
>> Installmex
- After that, to see whether you have installed SDPT3 correctly, type:
>> startup
>> sqlpdemo
- By now, SDPT3 is ready for you to use.
- We thank those who had made suggestions and reported bugs
to make SDPT3 better. In particular, we thank Johan Lofberg and Didier Henrion
for numerous bug reports and testing while incorporating SDPT3 into YALMIP and
GloptiPoly, respectively. Special thanks go to Hans Mittlemann for his effort
in benchmarking SDP softwares.
- Simple
examples to illustrate the usage of the software
- User's guide (ps) (pdf) (Under
revision)
- Test problems
maintained by Hans Mittelmann
- Benchmarks of several SDP codes by Hans Mittelmann:
benchmark on DIMACS problem
set;
benchmark on SDPLIB
problem set;
benchmark on some large
sparse SDPs.
SDPT3 version 2.3 -- a MATLAB software for Semidefinite
Programming
This research is supported in part by National
University of Singapore, Singapore-MIT Alliance, NSF through grant DMS-9505155
and ONR through grant N00014-96-1-0050, and NSF through grant DMS-9706950.
The software was updated in June 2001. It
includes infeasible path-following and homogeneous self-dual algorithms for
solving standard SDP (possibly with complex data). Note: problem data can be complex
- SDPT3-2.3.tar.gz(for
unix), SDPT3-2.3.zip(for
Windows)
Please read. Welcome to
SDPT3-2.3! The software requires a few Mex files for execution. You can
generate these executable files as follows:
- Firstly, unpack the software.
For Windows: unzip
SDPT3-2.3.zip in Windows; Others: tar -z -xvf
SDPT3-2.3.tar.gz
- Run Matlab in the directory SDPT3-2.3
- In Matlab command window, type:
>> Installmex
- After that, to see whether you have installed SDPT3 correctly, type:
>> startup
>> sdpdemo
- By now, SDPT3 is ready for you to use.
- The user's guide for the above software.
K.C. Toh, M.J. Todd,
and R.H. Tutuncu, SDPT3--a
Matlab software package for semidefinite programming, version 2.1 .
This paper was last updated in September 99. The original paper has appeared
in Optimization Methods and Software, 11 (1999), pp. 545--581.