pyMOR - Model Order Reduction with python¶
pyMOR is a software library for building model order reduction applications with the Python programming language. Implemented algorithms include reduced basis methods for parametric linear and non-linear problems, as well as system-theoretic methods such as balanced truncation or IRKA. All algorithms in pyMOR are formulated in terms of abstract interfaces for seamless integration with external PDE solver packages. Moreover, pure Python implementations of finite element and finite volume discretizations using the NumPy/SciPy scientific computing stack are provided for getting started quickly.
API Documentation¶
- pymor package
- Subpackages
- pymor.algorithms package
- pymor.analyticalproblems package
- pymor.bindings package
- pymor.core package
- pymor.discretizations package
- pymor.discretizers package
- pymor.domaindescriptions package
- pymor.domaindiscretizers package
- pymor.functions package
- pymor.grids package
- pymor.gui package
- pymor.operators package
- pymor.parallel package
- pymor.parameters package
- pymor.playground package
- pymor.reductors package
- pymor.tools package
- pymor.vectorarrays package
- Submodules
- Subpackages
Demo Applications¶
- pymordemos package
- Submodules
- analyze_pickle module
- burgers module
- burgers_ei module
- delay module
- elliptic module
- elliptic2 module
- elliptic_oned module
- elliptic_unstructured module
- hapod module
- heat module
- parabolic module
- parabolic_mor module
- string_equation module
- thermalblock module
- thermalblock_adaptive module
- thermalblock_gui module
- thermalblock_simple module
- Submodules