| 000 | 03442nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-55060-7 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112328.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240624s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031550607 _9978-3-031-55060-7 |
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| 024 | 7 |
_a10.1007/978-3-031-55060-7 _2doi |
|
| 050 | 4 | _aQA297-299.4 | |
| 072 | 7 |
_aPBKS _2bicssc |
|
| 072 | 7 |
_aMAT041000 _2bisacsh |
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| 072 | 7 |
_aPBKS _2thema |
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| 245 | 1 | 0 |
_aReduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators _h[electronic resource] : _bRAMSES / _cedited by Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aX, 259 p. 151 illus., 148 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aLecture Notes in Computational Science and Engineering, _x2197-7100 ; _v151 |
|
| 505 | 0 | _aShafqat Ali, Francesco Ballarin and Gianluigi Rozza: An online stabilization method for parametrized viscous flows -- Margarita Chasapi, Pablo Antolin, Annalisa Buffa: Reduced order modelling of nonaffine problems on parameterized NURBS multipatch geometries -- Anton Dereventsov, Joseph Daws, Jr., and Clayton G. Webster: Offline Policy Comparison under Limited Historical Agent-Environment Interactions -- Julien Genovese, Francesco Ballarin, Gianluigi Rozza and Claudio Canuto: Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. | |
| 520 | _aThis volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. The book is a valuable resource for researchers, as well as masters and Ph.D students. | ||
| 650 | 0 | _aNumerical analysis. | |
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 1 | 4 | _aNumerical Analysis. |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 700 | 1 |
_aRozza, Gianluigi. _eeditor. _0(orcid)0000-0002-0810-8812 _1https://orcid.org/0000-0002-0810-8812 _4edt _4http://id.loc.gov/vocabulary/relators/edt _977267 |
|
| 700 | 1 |
_aStabile, Giovanni. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _979204 |
|
| 700 | 1 |
_aGunzburger, Max. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _979205 |
|
| 700 | 1 |
_aD'Elia, Marta. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _979206 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031550591 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031550614 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031550621 |
| 830 | 0 |
_aLecture Notes in Computational Science and Engineering, _x2197-7100 ; _v151 _969968 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-55060-7 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 999 |
_c60966 _d60966 |
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