Parametric Model Order Reduction Using pyMOR

DOI10.1007/978-3-030-72983-7_17zbMath1480.93058arXiv2003.05825OpenAlexW3011179207MaRDI QIDQ5014034

Petar Mlinarić, Jens Saak, Stephan Rave

Publication date: 3 December 2021

Published in: Model Reduction of Complex Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.05825

Mathematics Subject Classification ID

System structure simplification (93B11) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

Related Items (1)

Active-learning-driven surrogate modeling for efficient simulation of parametric nonlinear systems

Uses Software

• FEniCS
• pyMOR

Cites Work

• Unnamed Item
• RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations
• pyMOR -- Generic Algorithms and Interfaces for Model Order Reduction
• Parametric Model Order Reduction via Balanced Truncation with Taylor Series Representation
• Interpolatory Model Reduction of Large-Scale Dynamical Systems
• Principal component analysis in linear systems: Controllability, observability, and model reduction
• Solving Parameter-Dependent Lyapunov Equations Using the Reduced Basis Method with Application to Parametric Model Order Reduction
• Convergence Rates of the POD–Greedy Method
• A posteriorierror bounds for reduced-basis approximations of parametrized parabolic partial differential equations

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