A Dimensional Reduction Approach Based on the Application of Reduced Basis Methods in the Framework of Hierarchical Model Reduction
In this article we introduce a new dimensional reduction approach which is based on the application of reduced basis (RB) techniques in the hierarchical model reduction (HMR) framework. Considering problems that exhibit a dominant spatial direction, the idea of HMR is to perform a Galerkin projectio...
Main Authors: | Ohlberger, Mario, Smetana, Kathrin |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | en_US |
Published: |
Society for Industrial and Applied Mathematics
2014
|
Online Access: | http://hdl.handle.net/1721.1/88243 https://orcid.org/0000-0003-4245-6586 |
Similar Items
-
Haisu: Hierarchically supervised nonlinear dimensionality reduction.
by: Kevin Christopher VanHorn, et al.
Published: (2022-07-01) -
An approximate high-dimensional optimization method using hierarchical design space reduction strategy
Published: (2021-04-01) -
Hierarchical Look-Ahead Conservation Voltage Reduction Framework Considering Distributed Energy Resources and Demand Reduction
by: Davye Mak, et al.
Published: (2018-11-01) -
High dimensional linear regression using lattice basis reduction
Published: (2021) -
High dimensional linear regression using lattice basis reduction
by: Gamarnik, David, et al.
Published: (2022)