Large Scale Inverse Problems

This book is thesecond volume of a three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation &amp 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 pr...

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collection Directory of Open Access Books
description This book is thesecond volume of a three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation &amp 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.
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spelling doab-20.500.12854ir-349382025-07-31T07:02:56Z Large Scale Inverse Problems Cullen, Mike Freitag, Melina A. Kindermann, Stefan Scheichl, Robert Mathematics Mathematics Geography Earth Science thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics This book is thesecond volume of a three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation &amp 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. 2021-02-10T12:58:18Z 2019-04-25 23:55 2020-03-21 03:00:30 2020-04-01T10:30:38Z 2013-08-29 book 1004881 OCN: 1100543265 http://library.oapen.org/handle/20.500.12657/25211 9783110282269 https://directory.doabooks.org/handle/20.500.12854/34938 eng open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/25211/1/1004881.pdf https://library.oapen.org/bitstream/20.500.12657/25211/1/1004881.pdf https://library.oapen.org/bitstream/20.500.12657/25211/1/1004881.pdf https://library.oapen.org/bitstream/20.500.12657/25211/1/1004881.pdf https://library.oapen.org/bitstream/20.500.12657/25211/1/1004881.pdf De Gruyter af2fbfcc-ee87-43d8-a035-afb9d7eef6a5 Knowledge Unlatched b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9783110282269 Knowledge Unlatched (KU) KU Select 2018: STEM Backlist Books 102369 KU Select 2018: STEM Backlist Books open access
spellingShingle Mathematics
Mathematics
Geography
Earth Science
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Large Scale Inverse Problems
title Large Scale Inverse Problems
title_full Large Scale Inverse Problems
title_fullStr Large Scale Inverse Problems
title_full_unstemmed Large Scale Inverse Problems
title_short Large Scale Inverse Problems
title_sort large scale inverse problems
topic Mathematics
Mathematics
Geography
Earth Science
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet Mathematics
Mathematics
Geography
Earth Science
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url 1004881