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Model reduction by separation of variables: a comparison between Hierarchical Model reduction and Proper Generalized Decomposition
- Publication Year :
- 2018
-
Abstract
- Hierarchical Model reduction and Proper Generalized Decomposition both exploit separation of variables to perform a model reduction. After setting the basics, we exemplify these techniques on some standard elliptic problems to highlight pros and cons of the two procedures, both from a methodological and a numerical viewpoint.
- Subjects :
- Mathematics - Numerical Analysis
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1811.11486
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1007/978-3-030-39647-3_4