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| LEADER |
01796naaaa2200445uu 4500 |
| 001 |
46679 |
| 005 |
20210211 |
| 020 |
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|a 9783110499001
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| 024 |
7 |
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|a 10.1515/9783110499001
|c doi
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| 041 |
0 |
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|h English
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| 042 |
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|a dc
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| 100 |
1 |
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|a Benner, Peter
|e edt
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| 856 |
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|z Get fulltext
|u https://library.oapen.org/handle/20.500.12657/46679
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| 700 |
1 |
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|a Schilders, Wil
|e edt
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| 700 |
1 |
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|a Grivet-Talocia, Stefano
|e edt
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| 700 |
1 |
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|a Quarteroni, Alfio
|e edt
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| 700 |
1 |
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|a Rozza, Gianluigi
|e edt
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| 700 |
1 |
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|a Miguel Silveira, Luís
|e edt
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| 700 |
1 |
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|a Benner, Peter
|e oth
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| 700 |
1 |
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|a Schilders, Wil
|e oth
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| 700 |
1 |
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|a Grivet-Talocia, Stefano
|e oth
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| 700 |
1 |
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|a Quarteroni, Alfio
|e oth
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| 700 |
1 |
|
|a Rozza, Gianluigi
|e oth
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| 700 |
1 |
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|a Miguel Silveira, Luís
|e oth
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| 245 |
1 |
0 |
|a Model Order Reduction : Volume 3 Applications
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| 260 |
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|a Berlin/Boston
|b De Gruyter
|c 2020
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| 300 |
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|a 1 electronic resource (466 p.)
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| 506 |
0 |
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|a Open Access
|2 star
|f Unrestricted online access
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| 520 |
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|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.
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| 540 |
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|a Creative Commons
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| 546 |
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|a English
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| 650 |
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7 |
|a Numerical analysis
|2 bicssc
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| 650 |
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7 |
|a Applied mathematics
|2 bicssc
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| 650 |
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7 |
|a Mathematical physics
|2 bicssc
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| 650 |
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7 |
|a Production engineering
|2 bicssc
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| 653 |
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|a Complexity reduction
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| 653 |
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|a applications in engineering
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| 653 |
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|a biomedical engineering
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| 653 |
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|a computational physics
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| 653 |
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|a computer science
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