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for various discretization types and application settings. |
for various discretization types and application settings. |
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| − | Firstly the RBmatlab library provides discretization techniques and meshes to implement simple models. In case that more complex models are to be treated, it provides interfaces to external packages as DUNE or ALBERTA-Grid. Some of basic features concerning discretization are: |
+ | Firstly the RBmatlab library provides discretization techniques and meshes to implement simple models. In case that more complex models are to be treated, it provides interfaces to external packages as DUNE or ALBERTA-Grid. Some of the basic features concerning discretization are: |
* Grid management (2D rectangular, triangular, Multi-D adaptive nonconforming cubegrid). |
* Grid management (2D rectangular, triangular, Multi-D adaptive nonconforming cubegrid). |
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| − | * Discretization techniques: Finite Elements, Finite Volumes, Finite Differences, Local |
+ | * Discretization techniques: Finite Elements, Finite Volumes, Finite Differences, Local Discontinuous Galerkin including discrete function types. |
* Visualization. |
* Visualization. |
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| − | Secondly the library provides model reduction algorithms for |
+ | Secondly the library provides model reduction algorithms for Reduced Basis model reduction of parameter dependent stationary and instationary problems. Some of the key features concerning model order reduction are: |
* (POD-) Greedy algorithm for basis generation. |
* (POD-) Greedy algorithm for basis generation. |
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* Reduced basis simulations and error estimation for various kinds of problems. |
* Reduced basis simulations and error estimation for various kinds of problems. |
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| − | * Treatment of nonlinearities and non-affine parameter dependence via |
+ | * Treatment of nonlinearities and non-affine parameter dependence via Empirical Operator Interpolation. |
* Basis generation including hp, p-partition, t-partition algorithms. |
* Basis generation including hp, p-partition, t-partition algorithms. |
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Furthermore the library provides a variety of demo files and implemented problems (linear advection-diffusion, two phase flow,...). |
Furthermore the library provides a variety of demo files and implemented problems (linear advection-diffusion, two phase flow,...). |
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| − | On the website [http://www.morepas.org morepas.org] |
+ | On the website [http://www.morepas.org morepas.org] one finds a detailed [http://www.morepas.org/software/rbmatlab/1.13.10/doc/index.html documentation] as well as information how to download the software. |
| − | Please note: The |
+ | Please note: The RBmatlab package contains several precomputed data files for demonstrations and an extensive html documentation. Therefore the total size of the package is approximately 100MB (zipped) or 150 MB (unzipped). |
Latest revision as of 10:00, 15 October 2013
RBmatlab is a MATLAB library for model order reduction with Reduced Basis Methods
for various discretization types and application settings.
Firstly the RBmatlab library provides discretization techniques and meshes to implement simple models. In case that more complex models are to be treated, it provides interfaces to external packages as DUNE or ALBERTA-Grid. Some of the basic features concerning discretization are:
- Grid management (2D rectangular, triangular, Multi-D adaptive nonconforming cubegrid).
- Discretization techniques: Finite Elements, Finite Volumes, Finite Differences, Local Discontinuous Galerkin including discrete function types.
- Visualization.
Secondly the library provides model reduction algorithms for Reduced Basis model reduction of parameter dependent stationary and instationary problems. Some of the key features concerning model order reduction are:
- (POD-) Greedy algorithm for basis generation.
- Reduced basis simulations and error estimation for various kinds of problems.
- Treatment of nonlinearities and non-affine parameter dependence via Empirical Operator Interpolation.
- Basis generation including hp, p-partition, t-partition algorithms.
Furthermore the library provides a variety of demo files and implemented problems (linear advection-diffusion, two phase flow,...).
On the website morepas.org one finds a detailed documentation as well as information how to download the software. Please note: The RBmatlab package contains several precomputed data files for demonstrations and an extensive html documentation. Therefore the total size of the package is approximately 100MB (zipped) or 150 MB (unzipped).