Difference between revisions of "MESS"

Revision as of 11:16, 19 April 2013

MESS, the Matrix Equations and 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

A list of the main features (some partially finished at the current stage) of both the MATLAB and C versions is:

Solvers for large and sparse matrix Riccati (algebraic and differential) and Lyapunov (algebraic) equations
Balanced Truncation based MOR for first and second order state space systems and index 1 DAEs
$\mathcal{H}_2$ -MOR via the IRKA and TSIA algorithms
Basic tools for Large sparse linear quadratic optimal control problems

The C version moreover provides:

sophisticated Multicore parallelism
compressed file I/O
uniform access to linear algebra routines
specially structured Sylvester equation solvers
interfaces to BLAS, LAPACK, Suitesparse, Slicot

Contact

Jens Saak

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 [[Category:Software]]
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+[[Category:Linear Algebra]]
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+[[Category:sparse]]
 [http://www.mpi-magdeburg.mpg.de/mess MESS], the '''M'''atrix '''E'''quations and '''S'''parse '''S'''olvers library, is the successor to the [http://www.netlib.org/lyapack/ 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.