Computational Challenges in the Geosciences

Margot Gerritsen

ISBN 10: 1461474337 / ISBN 13: 9781461474333

Published by Springer New York, Springer US Sep 2013, 2013

About this Item

Neuware -Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis. Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation. The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models. This volume summarizes current methodologies and future research challenges in this broad and important field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.

Seller Inventory # 9781461474333

Bibliographic Details

• Title: Computational Challenges in the Geosciences
• Publisher: Springer New York, Springer US Sep 2013
• Publication Date: 2013
• Language: English
• ISBN 10: 1461474337
• ISBN 13: 9781461474333
• Binding: Buch
• Condition: Neu

About this title

Synopsis

Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis.  Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation.  The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models.  This volume summarizes current methodologies and future research challenges in this broad and important field.