日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

学術論文

A Training Set Subsampling Strategy for the Reduced Basis Method

MPS-Authors
/persons/resource/persons242288

Chellappa,  Sridhar
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86622

Feng,  Lihong
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86253

Benner,  Peter       
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

External Resource
There are no locators available
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)

2103.06185.pdf
(プレプリント), 956KB

Chellappa_item_3291621.pdf
(出版社版), 947KB

付随資料 (公開)
There is no public supplementary material available
引用

Chellappa, S., Feng, L., & Benner, P. (2021). A Training Set Subsampling Strategy for the Reduced Basis Method. Journal of Scientific Computing, 89:. doi:10.1007/s10915-021-01665-y.


引用: https://hdl.handle.net/21.11116/0000-0008-23F5-C
要旨
要旨はありません