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Master the finite element method with this masterful and practical volume
An Introduction to the Finite Element Method (FEM) for Differential Equations provides readers with a practical and approachable examination of the use of the finite element method in mathematics. Author Mohammad Asadzadeh covers basic FEM theory, both in one-dimensional and higher dimensional cases.
The book is filled with concrete strategies and useful methods to simplify its complex mathematical contents. Practically written and carefully detailed, An Introduction to the Finite Element Method covers topics including:
An introduction to basic ordinary and partial differential equations
The concept of fundamental solutions using Green's function approaches
Polynomial approximations and interpolations, quadrature rules, and iterative numerical methods to solve linear systems of equations
Higher-dimensional interpolation procedures
Stability and convergence analysis of FEM for differential equations
This book is ideal for upper-level undergraduate and graduate students in natural science and engineering. It belongs on the shelf of anyone seeking to improve their understanding of differential equations.
Auteur
MOHAMMAD ASADZADEH, PHD is Professor of Applied Mathematics at the Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg. His primary research interests include the numerical analysis of hyperbolic pdes, as well as convection-diffusion and integro-differential equations.
Contenu
1 Introduction 11
1.1 Preliminaries 13
1.2 Trinities for 2nd order PDEs 14
1.3 PDEs in Rn, further classifications 22
1.4 Differential operators, superposition 24
1.4.1 Exercises 27
1.5 Some equations of mathematical physics 28
1.5.1 The Poisson equation 29
1.5.2 The Heat Equation 30
1.5.3 The Wave Equation 34
1.5.4 Exercises 38
2 Mathematical Tools 41
2.1 Vector spaces 42
2.1.1 Linear independence, basis and dimension 45
2.2 Function spaces 49
2.2.1 Spaces of differentiable functions 49
2.2.2 Spaces of integrable functions 51
2.2.3 Weak derivative 51
2.2.4 Sobolev spaces 53
2.2.5 Hilbert spaces 54
2.3 Some basic inequalities 55
2.4 Fundamental Solution of PDEs1 59
2.4.1 Green's Functions 60
2.5 The weak/variational formulation 63
2.6 A framework for analytic solution in 1d 65
2.6.1 The variational formulation in 1d. 68
2.6.2 The minimization problem in 1d. 71
2.6.3 A mixed Boundary Value Problem in 1d 73
2.7 An abstract framework 76
2.7.1 Riesz and Lax-Milgram Theorems 79
2.8 Exercises 87
3 Polynomial Approximation/Interpolation in 1d 91
3.1 Finite dimensional space of functions on an interval 92
3.2 An ordinary differential equation (ODE) 96
3.2.1 Forward Euler method to solve IVP 96
3.2.2 Variational formulation for IVP 97
3.2.3 Galerkin method for IVP 99
3.3 A Galerkin method for (BVP) 101
3.3.1 An equivalent finite difference approach 106
3.4 Exercises 110
3.5 Polynomial Interpolation in 1d 113
3.5.1 Lagrange interpolation 121
3.6 Orthogonal- and L2-projection 125
3.6.1 The L2-projection onto the space of polynomials 126
3.7 Numerical integration, Quadrature rule 127
3.7.1 Composite rules for uniform partitions 131
3.7.2 Gauss quadrature rule 135
3.8 Exercises 139
4 Linear Systems of Equations 143
4.1 Direct methods 144
4.2 Iterative methods 151
4.3 Exercises 160
5 Two-point boundary value problems 165
5.1 The finite element method (FEM) 165
5.2 Error estimates in the energy norm 167
5.3 FEM for convectiondiffusionabsorption BVPs 174
5.4 Exercises 184
6 Scalar Initial Value Problems 193
6.1 Solution formula and stability 194
6.2 Finite difference methods for IVP 195
6.3 Galerkin finite element methods for IVP 198
6.3.1 The continuous Galerkin method 199
6.3.2 The discontinuous Galerkin method 202
6.4 A posteriori error estimates 204
6.4.1 A posteriori error estimate for cG(1) 204
6.4.2 A posteriori error estimate for dG(0) 210
6.4.3 Adaptivity for dG(0) 213
6.5 A priori error analysis 214
6.5.1 A priori error estimates for the dG(0) method 214
6.6 The parabolic case (a(t) 0) 218
6.6.1 An example of error estimate 223
6.7 Exercises 224
7 Initial Boundary Value Problems in 1d 227
7.1 The heat equation in 1d 227
7.1.1 Stability estimates 229
7.1.2 FEM for the heat equation 234
7.1.3 Error analysis 238
7.1.4 Exercises 245
7.2 The wave equation in 1d 248
7.2.1 Wave equation as a system of hyperbolic PDEs 249
7.2.2 The finite element discretization procedure 250
7.2.3 Exercises 253
7.3 Convection - diffusion problems 256
7.3.1 Finite Element Method 259
7.3.2 The Streamline-diffusion method (SDM) 261
7.3.3 Exercises 263
8 Approximation in several dimensions 265
8.1 Introduction 265 8.2 Piecewise linear ap...