RBmatlab is a MATLAB© library providing routines for the solution of numerical schemes based on partial differential equations. The library consists of three main modules: (M1) Discretization methods implementing grid-based discretization operators of partial differential equations. (M2) Reduced basis generation routines providing a collection of algorithms and data structures which can be used to generate, store and post-process reduced basis spaces. (M3) Implementations of reduced models providing efficient reduced simulation routines for specific problem classes, such as: Linear evolution equations, Non-linear evolution equations, Linear stationary PDEs. ..
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Horger, Thomas; Wohlmuth, Barbara; Dickopf, Thomas: Simultaneous reduced basis approximation of parameterized elliptic eigenvalue problems (2017)
- Milk, René; Rave, Stephan; Schindler, Felix: PyMOR -- generic algorithms and interfaces for model order reduction (2016)
- Quarteroni, Alfio; Manzoni, Andrea; Negri, Federico: Reduced basis methods for partial differential equations. An introduction (2016)
- Drohmann, Martin; Haasdonk, Bernard; Ohlberger, Mario: Reduced basis approximation for nonlinear parametrized evolution equations based on empirical operator interpolation (2012)