Graded finite element methods for elliptic problems in nonsmooth domains / Hengguang Li.
2022
QA379
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Details
Title
Graded finite element methods for elliptic problems in nonsmooth domains / Hengguang Li.
Author
ISBN
9783031058219 (electronic bk.)
3031058216 (electronic bk.)
9783031058202
3031058208
3031058216 (electronic bk.)
9783031058202
3031058208
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource (x, 179 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-05821-9 doi
Call Number
QA379
Dewey Decimal Classification
515/.3533
Summary
This book develops a class of graded finite element methods to solve singular elliptic boundary value problems in two- and three-dimensional domains. It provides an approachable and self-contained presentation of the topic, including both the mathematical theory and numerical tools necessary to address the major challenges imposed by the singular solution. Moreover, by focusing upon second-order equations with constant coefficients, it manages to derive explicit results that are accessible to the broader computation community. Although written with mathematics graduate students and researchers in mind, this book is also relevant to applied and computational mathematicians, scientists, and engineers in numerical methods who may encounter singular problems.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Surveys and tutorials in the applied mathematical sciences ; 10.
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Table of Contents
The Finite Element Method
The Function Space
Singularities and Graded Mesh Algorithms
Error Estimates in Polygonal Domains
Regularity Estimates and Graded Meshes in Polyhedral Domains
Anisotropic Error Estimates in Polyhedral Domains.
The Function Space
Singularities and Graded Mesh Algorithms
Error Estimates in Polygonal Domains
Regularity Estimates and Graded Meshes in Polyhedral Domains
Anisotropic Error Estimates in Polyhedral Domains.