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.
|LECTURE NOTES IN COMPUTATIONAL SCIENCE AND ENGINEERING
|12th International Conference on Spectral and High-Order Methods, ICOSAHOM 2018
|9/7/18 → 13/7/18
- hierarchical model reduction
- proper generalized decomposition