Snapshot-Based Methods and Algorithms.
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| Place / Publishing House: | Berlin/Boston : : Walter de Gruyter GmbH,, 2020. Ã2021. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (356 pages) |
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Table of Contents:
- Intro
- Preface to the second volume of Model Order Reduction
- Contents
- 1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations
- 2 Model order reduction by proper orthogonal decomposition
- 3 Proper generalized decomposition
- 4 Reduced basis methods
- 5 Computational bottlenecks for PROMs: precomputation and hyperreduction
- 6 Localized model reduction for parameterized problems
- 7 Data-driven methods for reduced-order modeling
- Index.