國立虎尾科技大學 |

Polyhedral Methods in Geosciences

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Polyhedral Methods in Geosciences/ edited by Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson.
其他作者:	Masson, Roland.
面頁冊數:	XIII, 332 p. 105 illus., 86 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Science and Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-69363-3
ISBN:	9783030693633

Polyhedral Methods in Geosciences
Polyhedral Methods in Geosciences[electronic resource] /edited by Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson. - 1st ed. 2021. - XIII, 332 p. 105 illus., 86 illus. in color.online resource. - SEMA SIMAI Springer Series,272199-305X ;. - SEMA SIMAI Springer Series,5.

J. Droniou et al., Non-conforming ﬁnite elements on polytopal meshes -- C. Cancès 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

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

670319
Computational Science and Engineering.

LC Class. No.: QA71-90

Dewey Class. No.: 518

Polyhedral Methods in Geosciences
LDR:03434nam a22004095i 4500 001 1055485
003 DE-He213
005 20210921192142.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030693633 $9 978-3-030-69363-3
024 7 $a 10.1007/978-3-030-69363-3 $2 doi
035 $a 978-3-030-69363-3
050 4 $a QA71-90
072 7 $a PBKS $2 bicssc
072 7 $a MAT006000 $2 bisacsh
072 7 $a PBKS $2 thema
082 0 4 $a 518 $2 23
245 1 0 $a Polyhedral Methods in Geosciences $h [electronic resource] / $c edited by Daniele Antonio Di Pietro, Luca Formaggia, Roland Masson.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XIII, 332 p. 105 illus., 86 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SEMA SIMAI Springer Series, $x 2199-305X ; $v 27
505 0 $a J. Droniou et al., Non-conforming ﬁnite elements on polytopal meshes -- C. Cancès 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.
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.
650 2 4 $a Computational Science and Engineering. $3 670319
650 2 4 $a Applications of Mathematics. $3 669175
650 2 4 $a Analysis. $3 669490
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 815187
650 1 4 $a Computational Mathematics and Numerical Analysis. $3 669338
650 0 $a Engineering mathematics. $3 562757
650 0 $a Applied mathematics. $3 1069907
650 0 $a Analysis (Mathematics). $3 1253570
650 0 $a Mathematical analysis. $3 527926
650 0 $a Geotechnical engineering. $3 1024219
650 0 $a Computer mathematics. $3 1199796
700 1 $a Masson, Roland. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1360685
700 1 $a Formaggia, Luca. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 892157
700 1 $a Di Pietro, Daniele Antonio. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 888969
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030693626
776 0 8 $i Printed edition: $z 9783030693640
776 0 8 $i Printed edition: $z 9783030693657
830 0 $a SEMA SIMAI Springer Series, $x 2199-3041 ; $v 5 $3 1262367
856 4 0 $u https://doi.org/10.1007/978-3-030-69363-3
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)