RSD is an SDP solver that aims for solutions with high accuracy in Matlab. 
The current version is 0.1. There are two solvers, GRSD for general 
(full) matrices, and SRSD for sparse matrices. The corresponding codes are 
grssdp.m and srssdp.m.

The main inputs are:

C  -  given real symmetric n by n matrix
A  -  given m real symmetric n by n matrices in the form of 
      Matlab cell structure
b  -  given real m by 1 vector

Two main parameters are:

toler - relative tolerance for stopping criteria of the pd-ip algorithm
precond - indicator for type of preconditioning (0, 1(diagonal), or 2(block))

In order to generate random inputs, two Matlab codes can be used, 
testgrssdp.m and testsrssdp.m. These two codes need [n, m], the size of inputs,
 and two main parameters, toler and precond. They generate random instances of 
(C, A, and b) and run the corresponding solver, grssdp.m or srssdp.m. 

There are some more parameters and inputs, please use 'help grssdp' or 
'help srssdp' to learn more about these additional parameters and inputs.

The current version is written completely in Matlab; therefore, it is suitable 
only for problems of small size (n ~ 100, m < n(n+1)/2). There is a 
long to-do list regarding the implementation of the code and we will try to 
put them in in the next version.

If you have any comments or suggestions, please let us know by sending 
emails to vanxuan@uwaterloo.ca.
November 2010
Xuan Vinh Doan
Serge Kruk
Henry Wolkowicz