| 000 | 06930nam a22008295i 4500 | ||
|---|---|---|---|
| 001 | 9783110282269 | ||
| 003 | DE-B1597 | ||
| 005 | 20200803184523.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 190708s2013 gw fo d z eng d | ||
| 020 | _a9783110282269 | ||
| 024 | 7 |
_a10.1515/9783110282269 _2doi |
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| 035 | _a(DE-B1597)175844 | ||
| 035 | _a(OCoLC)857804565 | ||
| 035 | _a(OCoLC)858761758 | ||
| 040 |
_aDE-B1597 _beng _cDE-B1597 _erda |
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| 041 | 0 | _aeng | |
| 044 |
_agw _cDE |
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| 050 | 4 |
_aQA378.5 _b.L37 2013 |
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| 072 | 7 |
_aMAT034000 _2bisacsh |
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| 082 | 0 | 4 |
_a515/.357 _223 |
| 245 | 0 | 0 |
_aLarge Scale Inverse Problems : _bComputational Methods and Applications in the Earth Sciences / _cMike Cullen, Melina A Freitag, Stefan Kindermann, Robert Scheichl. |
| 264 | 1 |
_aBerlin ; _aBoston : _bDe Gruyter, _c[2013] |
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| 264 | 4 | _c©2013 | |
| 300 | _a1 online resource (212 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aRadon Series on Computational and Applied Mathematics ; _v13 |
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| 505 | 0 | 0 |
_t Frontmatter -- _tPreface -- _tContents -- _tSynergy of inverse problems and data assimilation techniques / _rFreitag, Melina A. / Potthast, Roland W. E. -- _tVariational data assimilation for very large environmental problems / _rLawless, Amos S. -- _tEnsemble filter techniques for intermittent data assimilation / _rReich, Sebastian / Cotter, Colin J. -- _tInverse problems in imaging / _rBurger, Martin / Dirks, Hendrik / Müller, Jahn -- _tThe lost honor of ℓ2-based regularization / _rDoel, Kees van den / Ascher, Uri M. / Haber, Eldad -- _tList of contributors -- _t Backmatter |
| 506 | 0 |
_aOpen Access _uhttps://purl.org/coar/access_right/c_abf2 _funrestricted online access _2star |
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| 520 | _aThis book is the second volume of a three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment" that took placein Linz, Austria, October 3-7, 2011. This volume addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications. The solution of inverse problems is fundamental to a wide variety of applications such as weather forecasting, medical tomography, and oil exploration. Regularisation techniques are needed to ensure solutions of sufficient quality to be useful, and soundly theoretically based. This book addresses the common techniques required for all the applications, and is thus truly interdisciplinary. This collection of survey articles focusses on the large inverse problems commonly arising in simulation and forecasting in the earth sciences. For example, operational weather forecasting models have between 107 and 108 degrees of freedom. Even so, these degrees of freedom represent grossly space-time averaged properties of the atmosphere. Accurate forecasts require accurate initial conditions. With recent developments in satellite data, there are between 106 and 107 observations each day. However, while these also represent space-time averaged properties, the averaging implicit in the measurements is quite different from that used in the models. In atmosphere and ocean applications, there is a physically-based model available which can be used to regularise the problem. We assume that there is a set of observations with known error characteristics available over a period of time. The basic deterministic technique is to fit a model trajectory to the observations over a period of time to within the observation error. Since the model is not perfect the model trajectory has to be corrected, which defines the data assimilation problem. The stochastic view can be expressed by using an ensemble of model trajectories, and calculating corrections to both the mean value and the spread which allow the observations to be fitted by each ensemble member. In other areas of earth science, only the structure of the model formulation itself is known and the aim is to use the past observation history to determine the unknown model parameters. The book records the achievements of Workshop 2 "Large-Scale Inverse Problems and Applications in the Earth Sciences". It involves experts in the theory of inverse problems together with experts working on both theoretical and practical aspects of the techniques by which large inverse problems arise in the earth sciences. | ||
| 538 | _aMode of access: Internet via World Wide Web. | ||
| 540 |
_aThis eBook is made available Open Access under a CC BY-NC-ND 4.0 license: _uhttps://creativecommons.org/licenses/by-nc-nd/4.0 _uhttps://www.degruyter.com/dg/page/open-access-policy |
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| 546 | _aIn English. | ||
| 588 | 0 | _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jul 2019) | |
| 650 | 0 | _aInverse problems (Differential equations) | |
| 650 | 4 | _aData Assimilation. | |
| 650 | 4 | _aGeosciences. | |
| 650 | 4 | _aIll-Posed Inverse Problems. | |
| 650 | 4 | _aIll-posed inverse problems. | |
| 650 | 4 | _aOptimization. | |
| 650 | 4 | _aRegularization. | |
| 650 | 4 | _adata assimilation. | |
| 650 | 4 | _ageosciences. | |
| 650 | 4 | _aoptimisation. | |
| 650 | 4 | _aregularisation. | |
| 650 | 7 |
_aMATHEMATICS / Mathematical Analysis. _2bisacsh |
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| 700 | 1 |
_aCullen, Mike, _eeditor. |
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| 700 | 1 |
_aFreitag, Melina A , _eeditor. |
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| 700 | 1 |
_aKindermann, Stefan, _eeditor. |
|
| 700 | 1 |
_aScheichl, Robert, _eeditor. |
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| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDGBA Backlist Complete English Language 2000-2014 PART1 _z9783110238570 |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDGBA Backlist Mathematics English Language 2000-2014 _z9783110238471 |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tDGBA Mathematics 2000 - 2014 _z9783110637205 _oZDB-23-GMA |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tE-BOOK GESAMTPAKET / COMPLETE PACKAGE 2013 _z9783110317350 _oZDB-23-DGG |
| 773 | 0 | 8 |
_iTitle is part of eBook package: _dDe Gruyter _tE-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2013 _z9783110317282 _oZDB-23-DMI |
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_iTitle is part of eBook package: _dDe Gruyter _tE-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2013 _z9783110317275 _oZDB-23-DMP |
| 776 | 0 |
_cprint _z9783110282221 |
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_uhttps://doi.org/10.1515/9783110282269 _zOpen Access |
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_3Cover _uhttps://www.degruyter.com/doc/cover/9783110282269.jpg |
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