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| 001 | 102369 | ||
| 003 | KnowledgeUnlatched | ||
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_aLarge Scale Inverse Problems _bComputational Methods and Applications in the Earth Sciences / _cRobert Scheichl, Stefan Kindermann, Melina A. Freitag, Mike Cullen. |
| 020 | _a9783110282269 | ||
| 029 | 1 | _ahttps://library.biblioboard.com/ext/api/media/6221c84f-e90b-4035-8555-44e2a1a5b321/assets/thumbnail.jpg | |
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| 506 | 0 |
_aAccess copy available to the general public. _fUnrestricted _2star |
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| 700 | 1 |
_aScheichl, Robert _eeditor. |
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| 700 | 1 |
_aKindermann, Stefan _eeditor. |
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| 700 | 1 |
_aFreitag, Melina A. _eeditor. |
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| 700 | 1 |
_aCullen, Mike _eeditor. |
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| 264 | 1 | _bDe Gruyter, | |
| 300 | _a1 online resource (216 p.) | ||
| 520 | _aThis book is thesecond 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. | ||
| 588 | 0 | _aDescription based on print version record. | |
| 590 | _aKU Select 2018: STEM Backlist Books | ||
| 650 | 7 |
_aMathematics / Applied _2bisacsh |
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| 650 | 0 | _aMathematics | |
| 655 | 0 | _aElectronic books. | |
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_iIs found in: _aKnowledge Unlatched _1https://openresearchlibrary.org/module/2774bc74-146a-484f-a7ba-ab1d6a09bbfb |
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_uhttps://openresearchlibrary.org/content/6221c84f-e90b-4035-8555-44e2a1a5b321 _zView this content on Open Research Library. _70 |
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