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[[Category:Linear algebra]] |
[[Category:Linear algebra]] |
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[[Category:sparse]] |
[[Category:sparse]] |
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| + | [[Category:Software Sparse Methods]] |
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| + | [[Category:Octave]] |
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| + | [[Category:Matlab]] |
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[http://www.mpi-magdeburg.mpg.de/projects/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 is 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 auxiliary subroutines for sparse matrix computations and efficient usage of modern multicore workstations. |
[http://www.mpi-magdeburg.mpg.de/projects/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 is 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 auxiliary subroutines for sparse matrix computations and efficient usage of modern multicore workstations. |
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Revision as of 13:58, 12 March 2020
MESS, the Matrix Equations and Sparse Solvers library, is the successor to the Lyapack Toolbox for MATLAB. It is 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 auxiliary 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
-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