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            Large Scale Inverse Problems

            Computational Methods and Applications in the Earth Sciences

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            Contributor(s)
            Cullen, Mike (editor)
            Freitag, Melina A. (editor)
            Kindermann, Stefan (editor)
            Scheichl, Robert (editor)
            Collection
            Knowledge Unlatched (KU)
            Language
            English
            Afficher la notice complète
            Résumé
            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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/176824
            Keywords
            Mathematics; Mathematics; Geography; Earth Science; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
            ISBN
            9783110282269
            Publisher
            De Gruyter
            Publisher website
            http://www.degruyter.com/
            Publication date and place
            2013-08-29
            Grantor
            • Knowledge Unlatched
            • OAPEN harvesting collection

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            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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