Model Order Reduction. Volume 2, Snapshot-Based Methods and Algorithms
(eBook)
Contributors
Ballarin, Francesco, Contributor
Benner, Peter, Editor
Brunton, Steven L., Contributor
Buhr, Andreas, Contributor
Chinesta, Francisco, Contributor
Benner, Peter, Editor
Brunton, Steven L., Contributor
Buhr, Andreas, Contributor
Chinesta, Francisco, Contributor
Published
Berlin ; De Gruyter,, [2020].
Format
eBook
ISBN
9783110671490
Status
Description
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More Details
Language
English
UPC
10.1515/9783110671490
Notes
Restrictions on Access
Open Access https://purl.org/coar/access_right/c_abf2 d star
Description
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Additional Physical Form
Issued also in print.
System Details
Mode of access: Internet via World Wide Web.
Terms Governing Use and Reproduction
This eBook is made available Open Access under a CC BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0
Language
In English.