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Polyhedral methods in geosciences

Di Pietro, Daniele Antonio.

Polyhedral methods in geosciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Polyhedral methods in geosciencesedited by Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson.
其他作者:	Di Pietro, Daniele Antonio.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiii, 332 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Polyhedral functions.
電子資源:	https://doi.org/10.1007/978-3-030-69363-3
ISBN:	9783030693633$q(electronic bk.)

Polyhedral methods in geosciences
Polyhedral methods in geosciences[electronic resource] /edited by Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson. - Cham :Springer International Publishing :2021. - xiii, 332 p. :ill., digital ;24 cm. - SEMA SIMAI Springer series,v.272199-3041 ;. - SEMA SIMAI Springer series ;v.4..

J. Droniou et al., Non-conforming ﬁnite elements on polytopal meshes -- C. Cances et al., Error estimates for the gradient discretization method on degenerate parabolic equations of porous medium type -- K. Brenner et al., Nodal discretization of two-phase discrete fracture matrix models -- Jan M. Nordbotten and E. Keilegavlen, An introduction to multi-point ﬂux (MPFA) and stress (MPSA) ﬁnite volume methods for thermo-poroelasticity -- Paola F. Antonietti et al., High-order discontinuous Galerkin methods on polyhedral grids for geophysical applications: seismic wave propagation and fractured reservoir simulations -- L. Botti et al., A hybrid high-order method for multiple-network poroelasticity -- D. Adak et al., The mixed virtual element method for the Richards equation -- A. Fumagalli et al., Performances of the mixed virtual element method on complex grids for underground ﬂow.

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.

ISBN: 9783030693633$q(electronic bk.)

Standard No.: 10.1007/978-3-030-69363-3doiSubjects--Topical Terms:

490162
Polyhedral functions.

LC Class. No.: QA343 / .P659 2021

Dewey Class. No.: 515.983

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520 $a 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.
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