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The Gradient Discretisation Method by Robert Eymard (English) Paperback Book

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  • (927767)
US $76.91
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eBay item number:364704280798
Last updated on 22 Sep, 2024 14:42:17 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
ISBN-13
9783319790411
Book Title
The Gradient Discretisation Method
ISBN
9783319790411
Subject Area
Mathematics
Publication Name
Gradient Discretisation Method
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Differential Equations / General, Numerical Analysis
Publication Year
2018
Series
Mathématiques Et Applications Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Robert Eymard, Thierry Gallouët, Cindy Guichard, Jérôme Droniou, Raphaèle Herbin
Item Weight
28 Oz
Item Width
6.1 in
Number of Pages
Xxiv, 497 Pages

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319790412
ISBN-13
9783319790411
eBay Product ID (ePID)
12038668505

Product Key Features

Number of Pages
Xxiv, 497 Pages
Publication Name
Gradient Discretisation Method
Language
English
Publication Year
2018
Subject
Differential Equations / General, Numerical Analysis
Type
Textbook
Subject Area
Mathematics
Author
Robert Eymard, Thierry Gallouët, Cindy Guichard, Jérôme Droniou, Raphaèle Herbin
Series
Mathématiques Et Applications Ser.
Format
Trade Paperback

Dimensions

Item Weight
28 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

TitleLeading
The
Series Volume Number
82
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Part I Elliptic problems.- Part II Parabolic problems.- Part III Examples of gradient discretisation methods.- Part IV Appendix.
Synopsis
This monograph presents the Gradient Discretisation Method (GDM), which is a unified convergence analysis framework for numerical methods for elliptic and parabolic partial differential equations. The results obtained by the GDM cover both stationary and transient models; error estimates are provided for linear (and some non-linear) equations, and convergence is established for a wide range of fully non-linear models (e.g. Leray-Lions equations and degenerate parabolic equations such as the Stefan or Richards models). The GDM applies to a diverse range of methods, both classical (conforming, non-conforming, mixed finite elements, discontinuous Galerkin) and modern (mimetic finite differences, hybrid and mixed finite volume, MPFA-O finite volume), some of which can be built on very general meshes.
LC Classification Number
QA71-90

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