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9780387205748

Theory and Practice of Finite Elements

by ;
  • ISBN13:

    9780387205748

  • ISBN10:

    0387205748

  • Format: Hardcover
  • Copyright: 2004-04-29
  • Publisher: Springer Nature
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Summary

"This book presents the mathematical theory of finite elements, starting from basic results on approximation theory and finite element interpolation and building up to more recent research topics, such as Discontinuous Galerkin, subgrid viscosity stabilization, and a posteriori error estimation." "The book will be useful to researchers and graduate students in mathematics, computer science, and engineering."--BOOK JACKET.

Table of Contents

Part I Theoretical Foundations
1 Finite Element Interpolation
3(78)
1.1 One-Dimensional Interpolation
3(16)
1.2 Finite Elements: Definitions and Examples
19(12)
1.3 Meshes: Basic Concepts
31(7)
1.4 Approximation Spaces and Interpolation Operators
38(20)
1.5 Interpolation of Smooth Functions
58(10)
1.6 Interpolation of Non-Smooth Functions
68(7)
1.7 Inverse Inequalities
75(2)
1.8 Exercises
77(4)
2 Approximation in Banach Spaces by Galerkin Methods
81(30)
2.1 The Banach-Necas-Babuka (BNB) Theorem
81(7)
2.2 Galerkin Methods
88(5)
2.3 Error Analysis
93(6)
2.4 Saddle-Point Problems
99(7)
2.5 Exercises
106(5)
Part II Approximation of PDEs
3 Coercive Problems
111(64)
3.1 Scalar Elliptic PDEs: Theory
111(9)
3.2 Scalar Elliptic PDEs: Approximation
120(21)
3.3 Spectral Problems
141(9)
3.4 Continuum Mechanics
150(14)
3.5 Coercivity Loss
164(6)
3.6 Exercises
170(5)
4 Mixed Problems
175(44)
4.1 Mathematical Study of the Stokes Problem
175(8)
4.2 Mixed Finite Element Approximation
183(18)
4.3 Galerkin/Least-Squares (GaLS) Approximation
201(7)
4.4 Linear Algebra
208(6)
4.5 Exercises
214(5)
5 First-Order PDEs
219(60)
5.1 Standard Galerkin Approximation in One Dimension
219(6)
5.2 First-Order PDEs in L²
225(9)
5.3 Least-Squares Formulation and Variants
234(8)
5.4 Galerkin/Least-Squares (GaLS) Approximation
242(9)
5.5 Subgrid Viscosity Approximation
251(14)
5.6 Discontinuous Galerkin (DG) Approximation
265(6)
5.7 Non-Standard Galerkin Approximation
271(4)
5.8 Exercises
275(4)
6 Time-Dependent Problems
279(58)
6.1 Parabolic Problems
279(21)
6.2 Time-Dependent Mixed Problems
300(12)
6.3 Evolution Equations Without Coercivity
312(20)
6.4 Exercises
332(5)
Part III Implementation
7 Data Structuring and Mesh Generation
337(20)
7.1 Data Structuring
337(3)
7.2 Mesh Generators
340(6)
7.3 Example: Delaunay Triangulations
346(8)
7.4 Exercises
354(3)
8 Quadratures, Assembling, and Storage
357(26)
8.1 Quadratures: Theory and Implementation
357(11)
8.2 Assembling
368(4)
8.3 Storage of Sparse Matrices
372(4)
8.4 Non-Homogeneous Dirichlet Boundary Conditions
376(4)
8.5 Exercises
380(3)
9 Linear Algebra
383(38)
9.1 Conditioning
383(10)
9.2 Reordering
393(8)
9.3 Iterative Solution Methods
401(12)
9.4 Introduction to Parallel Implementation
413(4)
9.5 Exercises
417(4)
10 A Posteriori Error Estimates and Adaptive Meshes
421(42)
10.1 Residual-Based Error Estimates
421(14)
10.2 Hierarchical Error Estimates
435(10)
10.3 Duality-Based Error Estimates
445(8)
10.4 Adaptive Mesh Generation
453(4)
10.5 Exercises
457(6)
Part IV Appendices
A Banach and Hilbert Spaces
463(14)
A.1 Basic Definitions and Results
463(5)
A.2 Bijective Banach Operators
468(9)
B Functional Analysis
477(16)
B.1 Lebesgue and Lipschitz Spaces
477(3)
B.2 Distributions
480(2)
B.3 Sobolev Spaces
482(11)
Nomenclature 493(4)
References 497(16)
Author Index 513(4)
Subject Index 517

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