Amazon cover image
Image from Amazon.com

Large Scale Inverse Problems : Computational Methods and Applications in the Earth Sciences

By: Contributor(s): Material type: ArticleArticleLanguage: English Publication details: De Gruyter 20130829ISBN:
  • 9783110282269
Subject(s): Online resources: Summary: 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.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books Open Access Available

Open Access star Unrestricted online access

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.

Knowledge Unlatched

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

English

There are no comments on this title.

to post a comment.

O.P. Jindal Global University, Sonepat-Narela Road, Sonepat, Haryana (India) - 131001

Send your feedback to glus@jgu.edu.in

Implemented & Customized by: BestBookBuddies   |   Maintained by: Global Library