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Finite Elements III: First-Order and Time-Dependent PDEs 2021 ed. [Kõva köide]

  • Formaat: Hardback, 417 pages, kõrgus x laius: 235x155 mm, kaal: 883 g, 16 Illustrations, black and white; VIII, 417 p. 16 illus., 1 Hardback
  • Sari: Texts in Applied Mathematics 74
  • Ilmumisaeg: 30-Mar-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030573478
  • ISBN-13: 9783030573478
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  • Formaat: Hardback, 417 pages, kõrgus x laius: 235x155 mm, kaal: 883 g, 16 Illustrations, black and white; VIII, 417 p. 16 illus., 1 Hardback
  • Sari: Texts in Applied Mathematics 74
  • Ilmumisaeg: 30-Mar-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030573478
  • ISBN-13: 9783030573478

This book is the third volume of a three-part textbook suitable for graduate coursework, professional engineering and academic research. It is also appropriate for graduate flipped classes. Each volume is divided into short chapters. Each chapter can be covered in one teaching unit and includes exercises as well as solutions available from a dedicated website. The salient ideas can be addressed during lecture, with the rest of the content assigned as reading material. To engage the reader, the text combines examples, basic ideas, rigorous proofs, and pointers to the literature to enhance scientific literacy.

Volume III is divided into 28 chapters. The first eight chapters focus on the symmetric positive systems of first-order PDEs called Friedrichs' systems. This part of the book presents a comprehensive and unified treatment of various stabilization techniques from the existing literature. It discusses applications to advection and advection-diffusion equations and various PDEs written in mixed form such as Darcy and Stokes flows and Maxwell's equations. The remainder of Volume III addresses time-dependent problems: parabolic equations (such as the heat equation), evolution equations without coercivity (Stokes flows, Friedrichs' systems), and nonlinear hyperbolic equations (scalar conservation equations, hyperbolic systems). It offers a fresh perspective on the analysis of well-known time-stepping methods. The last five chapters discuss the approximation of hyperbolic equations with finite elements. Here again a new perspective is proposed. These chapters should convince the reader that finite elements offer a good alternative to finite volumes to solve nonlinear conservation equations.


Part XII First-order PDFs
56 Friedrichs' systems
3(16)
56.1 Basic ideas
3(3)
56.2 Examples
6(4)
56.3 Weak formulation and well-posedness
10(9)
57 Residual-based stabilization
19(16)
57.1 Model problem
19(1)
57.2 Least-squares (LS) approximation
20(2)
57.3 Galerkin/least-squares (GaLS)
22(7)
57.4 Boundary penalty for Friedrichs' systems
29(6)
58 Fluctuation-based stabilization (I)
35(12)
58.1 Discrete setting
35(2)
58.2 Stability analysis
37(2)
58.3 Continuous interior penalty
39(5)
58.4 Examples
44(3)
59 Fluctuation-based stabilization (II)
47(10)
59.1 Two-scale decomposition
47(3)
59.2 Local projection stabilization
50(1)
59.3 Subgrid viscosity
51(2)
59.4 Error analysis
53(2)
59.5 Examples
55(2)
60 Discontinuous Galerkin
57(12)
60.1 Discrete setting
57(2)
60.2 Centered fluxes
59(4)
60.3 Tightened stability by jump penalty
63(6)
61 Advection-diffusion
69(16)
61.1 Model problem
69(2)
61.2 Discrete setting
71(3)
61.3 Stability and error analysis
74(6)
61.4 Divergence-free advection
80(5)
62 Stokes equations: Residual-based stabilization
85(10)
62.1 Model problem
85(1)
62.2 Discrete setting for GaLS stabilization
86(2)
62.3 Stability and well-posedness
88(3)
62.4 Error analysis
91(4)
63 Stokes equations: Other stabilizations
95(16)
63.1 Continuous interior penalty
95(7)
63.2 Discontinuous Galerkin
102(9)
Part XIII Parabohc PDEs
64 Bocbner integration
111(12)
64.1 Bochner integral
111(4)
64.2 Weak time derivative
115(8)
65 Weak formulation and well-posedness
123(12)
65.1 Weak formulation
123(6)
65.2 Well-posedness
129(3)
65.3 Maximum principle for the heat equation
132(3)
66 Semi-discretization in space
135(12)
66.1 Model problem
135(1)
66.2 Principle and algebraic realization
136(2)
66.3 Error analysis
138(9)
67 Implicit and explicit Euler schemes
147(14)
67.1 Implicit Euler scheme
147(8)
67.2 Explicit Euler scheme
155(6)
68 BDF2 and Crank-Nicolson schemes
161(16)
68.1 Discrete setting
161(1)
68.2 BDF2 scheme
162(7)
68.3 Crank Nicolson scheme
169(8)
69 Discontinuous Galerkin in time
177(18)
69.1 Setting for the time discretization
177(2)
69.2 Formulation of the method
179(6)
69.3 Stability and error analysis
185(6)
69.4 Algebraic realization
191(4)
70 Continuous Petrov-Galerkin in time
195(16)
70.1 Formulation of the method
195(6)
70.2 Stability and error analysis
201(5)
70.3 Algebraic realization
206(5)
71 Analysis using inf-sup stability
211(20)
71.1 Well-posedness
211(6)
71.2 Semi-discretization in space
217(5)
71.3 Dg(k) scheme
222(2)
71.4 Cpg(it) scheme
224(7)
Part XIV Time-dependent Stokes equations
72 Weak formulations and well-posedness
231(10)
72.1 Model problem
231(2)
72.2 Constrained weak formulation
233(1)
72.3 Mixed weak formulation with smooth data
234(3)
72.4 Mixed weak formulation with rough data
237(4)
73 Monolithic time discretization
241(14)
73.1 Model problem
241(1)
73.2 Space semi-discretization
242(6)
73.3 Implicit Euler approximation
248(4)
73.4 Higher-order time approximation
252(3)
74 Projection methods
255(12)
74.1 Model problem and Helmholtz decomposition
255(1)
74.2 Pressure correction in standard form
256(5)
74.3 Pressure correction in rotational form
261(2)
74.4 Finite element approximation
263(4)
75 Artificial compressibility
267(12)
75.1 Stability under compressibility perturbation
267(1)
75.2 First-order artificial compressibility
268(4)
75.3 Higher-order artificial compressibility
272(3)
75.4 Finite element implementation
275(4)
76 Well-posedness and space semi-discretization
279(16)
76.1 Maximal monotone operators
279(3)
76.2 Well-posedness
282(4)
76.3 Time-dependent Friedrichs' systems
286(2)
76.4 Space semi-discretization
288(7)
77 Implicit time discretization
295(10)
77.1 Model problem and space discretization
295(2)
77.2 Implicit Euler scheme
297(2)
77.3 Error analysis
299(6)
78 Explicit time discretization
305(18)
78.1 Explicit Runge-Kutta (ERK) schemes
305(5)
78.2 Explicit Euler scheme
310(2)
78.3 Second-order two-stage ERK schemes
312(6)
78.4 Third-order three-stage ERK schemes
318(5)
Part XVI Nonlinear hyperbolic PDEs
79 Scalar conservation equations
323(14)
79.1 Weak and entropy solutions
323(7)
79.2 Riemann problem
330(7)
80 Hyperbolic systems
337(16)
80.1 Weak solutions and examples
337(7)
80.2 Riemann problem
344(9)
81 First-order approximation
353(14)
81.1 Scalar conservation equations
353(8)
81.2 Hyperbolic systems
361(6)
82 Higher-order approximation
367(16)
82.1 Higher order in time
367(7)
82.2 Higher order in space for scalar equations
374(9)
83 Higher-order approximation and limiting
383(18)
83.1 Higher-order techniques
383(5)
83.2 Limiting
388(13)
References 401(14)
Index 415
Alexandre Ern is Senior Researcher at Ecole des Ponts and INRIA in Paris, and he is also Associate Professor of Numerical Analysis at Ecole Polytechnique, Paris. His research deals with the devising and analysis of finite element methods and a posteriori error estimates and adaptivity with applications to fluid and solid mechanics and porous media flows. Alexandre Ern has co-authored three books and over 150 papers in peerreviewed journals. He has supervised about 20 PhD students and 10 postdoctoral fellows, and he has ongoing collaborations with several industrial partners. Jean-Luc Guermond is Professor of Mathematics at Texas A&M University where he also holds an Exxon Mobile Chair in Computational Science. His current research interests are in numerical analysis, applied mathematics, and scientific computing. He has co-authored two books and over 170 research papers in peer-reviewed journals.