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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