Model Order Reduction. Volume 2, Snapshot-Based Methods and Algorithms / Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira.

Format:

Book

Author/Creator:

Benner, Peter., Editor.

Contributor:

Alfio, Quarteroni, Contributor.

Andrea, Manzoni, Contributor.

Andreas, Buhr, Contributor.

Anthony T., Patera, Contributor.

Benner, Peter, Editor.

Carmen, Gräßle, Contributor.

Charbel, Farhat, Contributor.

Francesco, Ballarin, Contributor.

Francisco, Chinesta, Contributor.

Gianluigi, Rozza, Contributor.

Giovanni, Stabile, Contributor.

Grivet-Talocia, Stefano, Editor.

J. Nathan, Kutz, Contributor.

Kathrin, Smetana, Contributor.

Laura, Iapichino, Contributor.

Marco, Tezzele, Contributor.

Martin, Hess, Contributor.

Hinze, Michael, Contributor.

Pierre, Ladevèze, Contributor.

Quarteroni, Alfio, Editor.

Rozza, Gianluigi, Editor.

Schilders, W. H. A. (Wil), Editor.

Sebastian, Grimberg, Contributor.

Silveira, Luis Miguel, Editor.

Stefan, Volkwein, Contributor.

Steven L., Brunton, Contributor.

Yvon, Maday, Contributor.

Series:

Model Order Reduction ; Volume 2

Language:

English

Physical Description:

1 online resource (VIII, 348 p.)

Edition:

1st ed.

Place of Publication:

Berlin ; Boston : De Gruyter, [2020]

Language Note:

In English.

Summary:

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.

Contents:

Frontmatter

Preface to the second volume of Model Order Reduction

Contents

1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations

2 Model order reduction by proper orthogonal decomposition

3 Proper generalized decomposition

4 Reduced basis methods

5 Computational bottlenecks for PROMs: precomputation and hyperreduction

6 Localized model reduction for parameterized problems

7 Data-driven methods for reduced-order modeling

Index

Notes:

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 https://www.degruyter.com/dg/page/open-access-policy

Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Jan 2021)

Description based on publisher supplied metadata and other sources.

ISBN:

3-11-067149-2

OCLC:

1229160848