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Polyhedral Methods in Geosciences (Hardcover, 1st ed. 2021) Loot Price: R4,251
Discovery Miles 42 510
Polyhedral Methods in Geosciences (Hardcover, 1st ed. 2021): Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson

Polyhedral Methods in Geosciences (Hardcover, 1st ed. 2021)

Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson

Series: SEMA SIMAI Springer Series, 27

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Loot Price R4,251 Discovery Miles 42 510 | Repayment Terms: R398 pm x 12*

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The last few years have witnessed a surge in the development and usage of discretization methods supporting general meshes in geoscience applications. The need for general polyhedral meshes in this context can arise in several situations, including the modelling of petroleum reservoirs and basins, CO2 and nuclear storage sites, etc. In the above and other situations, classical discretization methods are either not viable or require ad hoc modifications that add to the implementation complexity. Discretization methods able to operate on polyhedral meshes and possibly delivering arbitrary-order approximations constitute in this context a veritable technological jump. The goal of this monograph is to establish a state-of-the-art reference on polyhedral methods for geoscience applications by gathering contributions from top-level research groups working on this topic. This book is addressed to graduate students and researchers wishing to deepen their knowledge of advanced numerical methods with a focus on geoscience applications, as well as practitioners of the field.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: SEMA SIMAI Springer Series, 27
Release date: June 2021
First published: 2021
Editors: Daniele Antonio Di Pietro • Luca Formaggia • Roland Masson
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 332
Edition: 1st ed. 2021
ISBN-13: 978-3-03-069362-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Earth & environment > Earth sciences > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-03-069362-7
Barcode: 9783030693626

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