Model Order Reduction. / Volume 3, : Applications / / Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira.
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 three-volume handbook covers methods as well as applications. This third volume focuses on ap...
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter,, [2020] ©2021 |
Year of Publication: | 2020 |
Language: | English |
Series: | Model Order Reduction ;
Volume 3 |
Physical Description: | 1 online resource (VIII, 466 p.) |
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100 | 1 | |a Benner, Peter |4 edt | |
245 | 0 | 0 | |a Model Order Reduction. |n Volume 3, |p Applications / |c Peter Benner, Wil Schilders, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Luís Miguel Silveira. |
260 | |a Berlin/Boston |b De Gruyter |c 2020 | ||
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2020] | |
264 | 4 | |c ©2021 | |
300 | |a 1 online resource (VIII, 466 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 0 | |a Model Order Reduction ; |v Volume 3 | |
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Jan 2021) | |
540 | |a This eBook is made available Open Access under a CC BY-NC-ND 4.0 license: |u https://creativecommons.org/licenses/by-nc-nd/4.0 |u https://www.degruyter.com/dg/page/open-access-policy | ||
520 | |a 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 three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science. | ||
546 | |a In English. | ||
505 | 0 | 0 | |t Frontmatter -- |t Preface to the third volume of Model Order Reduction -- |t Contents -- |t 1 Model reduction in chemical process optimization -- |t 2 Model order reduction in mechanical engineering -- |t 3 Case studies of model order reduction for acoustics and vibrations -- |t 4 Model order reduction in microelectronics -- |t 5 Complexity reduction of electromagnetic systems -- |t 6 Model reduction in computational aerodynamics -- |t 7 Model order reduction in neuroscience -- |t 8 Reduced-order modeling for applications to the cardiovascular system -- |t 9 From the POD-Galerkin method to sparse manifold models -- |t 10 Model order reduction in uncertainty quantification -- |t 11 Reduced-order modeling of large-scale network systems -- |t 12 Model order reduction and digital twins -- |t 13 MOR software -- |t Index |
530 | |a Issued also in print. | ||
650 | 7 | |a MATHEMATICS / Numerical Analysis. |2 bisacsh | |
653 | |a Complexity reduction | ||
653 | |a applications in engineering | ||
653 | |a biomedical engineering | ||
653 | |a computational physics | ||
653 | |a computer science | ||
776 | |z 3-11-050044-2 | ||
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