= Welcome to M.E.S.S. =
MESS, the Matrix Equations Sparse Solvers library, is the successor to the Lyapack Toolbox for MATLAB. It will be available as a MATLAB toolbox as well as a C-library. It is intended for solving large sparse matrix equations as well as problems from model order reduction and optimal control. The C version provides a large set of axillary subroutines for sparse matrix computations and efficient usage of modern multicore workstations.

== Features == 
At the moment the following features are available or under active development:
 * solving large scale (generalized) Lyapunov and Riccati equations.
 * model order reduction for 1st and 2nd order systems via Balanced Truncation.
 * H_2 model order reduction via the IRKA and TSIA algorithms.
 * tools for LQR problems.
 * Differential Riccati equation solvers. 

The C-library additionally provides: 
 * a uniform inferface to handle sparse and dense matrices.
 * shared memory parallel algorithms using OpenMP and Pthreads. 
 * a solver for special sparse-dense Sylvester equations.
 * H_2 model order reduction for 1st order systems using IRKA or TSIA.
 * a large set of direct and iterative solvers for linear systems. 
 * various helper subroutines for thread pools, configuration files, interface to MATLAB, ...



== Contact == 
For information about the MATLAB-part please contact [http://www.mpi-magdeburg.mpg.de/mpcsc/saak/ Dr. Jens Saak]. 

For information about the C-library please contact [http://www.mpi-magdeburg.mpg.de/mpcsc/koehlerm/ Martin Köhler].

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