| spelling |
oapen-20.500.12657-252112021-11-10T07:57:49Z Large Scale Inverse Problems Cullen, Mike Freitag, Melina A. Kindermann, Stefan Scheichl, Robert Mathematics Mathematics Geography Earth Science bic Book Industry Communication::P Mathematics & 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 & 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. 2019-04-25 23:55 2020-03-21 03:00:30 2020-04-01T10:30:38Z 2020-04-01T10:30:38Z 2013-08-29 book 1004881 OCN: 1100543265 9783110282269 http://library.oapen.org/handle/20.500.12657/25211 eng application/pdf n/a 1004881.pdf De Gruyter 102369 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 9783110282269 Knowledge Unlatched (KU) 102369 KU Select 2018: STEM Backlist Books Knowledge Unlatched open access
|
| description |
This 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.
|
