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Moving mesh methods are an effective, mesh-adaptation-based approach for the numerical solution of mathematical models of physical phenomena. Currently there exist three main strategies for mesh adaptation, namely, to use mesh subdivision, local high order approximation (sometimes combined with mesh subdivision), and mesh movement. The latter type of adaptive mesh method has been less well studied, both computationally and theoretically.
This book is about adaptive mesh generation and moving mesh methods for the numerical solution of time-dependent partial differential equations. It presents a general framework and theory for adaptive mesh generation and gives a comprehensive treatment of moving mesh methods and their basic components, along with their application for a number of nontrivial physical problems. Many explicit examples with computed figures illustrate the various methods and the effects of parameter choices for those methods. The partial differential equations considered are mainly parabolic (diffusion-dominated, rather than convection-dominated).
The extensive bibliography provides an invaluable guide to the literature in this field. Each chapter contains useful exercises. Graduate students, researchers and practitioners working in this area will benefit from this book.
Weizhang Huang is a Professor in the Department of Mathematics at the University of Kansas.
Robert D. Russell is a Professor in the Department of Mathematics at Simon Fraser University.
Industry Reviews
From the reviews:
"The authors of the present monograph focus on a brand of strategies for mesh adaption on which they have been working themselves, namely so called r-adaptivity. ... It is self-contained, even usable for courses and will guide the reader to much of the current development in the field." (H. Muthsam, Monatshefte f¼r Mathematik, Vol. 166 (1), April, 2012)
"This book is valuable for both researchers and practitioners working in adaptive moving mesh methods. It presents unified analytical tools and implementation details, and provides applications of the adaptive moving mesh methods. ... In addition, the book can be used as a textbook for an advanced course in the numerical solution of partial differential equations." (Tsu-Fen Chen, Mathematical Reviews, Issue 2012 a)
"This advanced textbook on adaptive mesh generation and moving mesh methods for the numerical solution of time-dependent partial differential equations (mostly of parabolic type) is aimed at graduate students and researchers in the field of scientific computing and numerical analysis. ... The book is illustrated with numerous examples, which have been implemented in Matlab." (Kai Schneider, Zentralblatt MATH, Vol. 1227, 2012)
"The book's focus is on mesh generation and adaptation through mesh movement techniques ... . is completed by an extensive bibliographical list consisting of more than 300 references. ... this has helped to fill in the gap between the practitioner's moving mesh techniques and a sound theoretical background. It is highly accessible and is characterized by a very clear and readable style without sacrificing mathematical rigor and soundness. ... a precious reference for a broad community of numerical analysts as well as for computational scientists." (Alfio Quarteroni, SIAM Review, Vol. 53 (4), 2011)
| Introduction | p. 1 |
| A model problem | p. 1 |
| A moving finite difference method | p. 2 |
| Finite difference method on a fixed mesh | p. 2 |
| Finite difference method on an adaptive moving mesh | p. 3 |
| A moving finite element method | p. 7 |
| Finite element method on a fixed mesh | p. 7 |
| Finite element method on an adaptive moving mesh | p. 11 |
| Burgers'equation with an exact solution | p. 14 |
| Basic components of a moving mesh method | p. 17 |
| Mesh movement strategies | p. 18 |
| Discretization of PDEs on a moving mesh | p. 18 |
| Simultaneous or alternate solution | p. 20 |
| Biographical notes | p. 21 |
| Exercises | p. 23 |
| Adaptive Mesh Movement in ID | p. 27 |
| The equidistribution principle | p. 28 |
| Equidistribution | p. 28 |
| Optimality of equidistribution | p. 30 |
| Equidistributing meshes as uniform meshes in a metric space | p. 34 |
| Another view of equidistribution | p. 34 |
| Computation of equidistributing meshes | p. 36 |
| De Boor's algorithm | p. 36 |
| Bvp method | p. 40 |
| Moving mesh PDEs | p. 43 |
| MMPDEs in terms of coordinate transformation | p. 43 |
| MMPDEs in terms of inverse coordinate transformation | p. 50 |
| Mesh density functions based on interpolation enor | p. 53 |
| Interpolation error estimates | p. 54 |
| Optimal mesh density functions | p. 56 |
| Enor bounds for commonly used non-optimal mesh density functions | p. 64 |
| Summary of mesh density functions and error bounds | p. 66 |
| Error bounds for a function with boundary layer | p. 69 |
| Computation of mesh density functions and examples | p. 74 |
| Recovery of solution derivatives | p. 74 |
| Smoothing of mesh density functions and smoothed MMPDEs | p. 76 |
| Mesh density functions for solutions with multicomponents | p. 81 |
| Examples with analytical functions | p. 81 |
| Alternate solution procedures | p. 85 |
| Alternate solution with quasi-Lagrange treatment of mesh movement | p. 87 |
| Rezoning treatment of mesh movement | p. 96 |
| Interpolation on moving meshes | p. 97 |
| Examples of applications | p. 99 |
| Mesh density functions based on scaling invariance | p. 111 |
| Dimensional analysis, scaling invariance, and dominance of equidistribution | p. 114 |
| MMPDEs with constant | p. 116 |
| MMPDE5 with variable | p. 119 |
| Numerical results | p. 119 |
| Mesh density functions based on a posteriori error estimates | p. 120 |
| An a priori error estimate | p. 123 |
| An a posteriori error estimate | p. 124 |
| Optimal mesh density function and convergence results | p. 125 |
| Iterative algorithm for computing equidistributing meshes and numerical examples | p. 127 |
| Biographical noteS | p. 130 |
| Exercises | p. 133 |
| Discretization of PDEs on Time-Varying Meshes | p. 137 |
| Coordinate transformations | p. 138 |
| Coordinate transformation as a mesh | p. 138 |
| Transformation relations | p. 138 |
| Transformed structure of PDEs | p. 144 |
| Transformation relations in 2D | p. 145 |
| Finite difference methods | p. 147 |
| The quasi-Lagrange approach | p. 148 |
| The rezoning approach | p. 156 |
| Finite element methods | p. 157 |
| Concepts of unstructured meshes and finite elements | p. 157 |
| Simplicial elements and d-simplexes | p. 165 |
| The quasi-Lagrange approach | p. 166 |
| The rezoning approach | p. 172 |
| Two-mesh strategy for mesh movement | p. 172 |
| Interpolation on moving meshes | p. 173 |
| Linear interpolation | p. 174 |
| PDE-based interpolation | p. 174 |
| Biographical notes | p. 175 |
| Exercises | p. 176 |
| Basic Principles of Multidimensional Mesh Adaptation | p. 177 |
| Mesh adaptation from perspective of uniform meshes in a metric space | p. 178 |
| Mathematical description of M-uniform meshes | p. 179 |
| Equidistribution and alignment conditions | p. 180 |
| Mesh control perspective | p. 186 |
| Jacobian matrix and size, shape, and orientation of mesh elements | p. 187 |
| Mesh adaptation via metric specification | p. 190 |
| Geometric interpretations of mesh equidistribution and alignment | p. 193 |
| Special case: scalar monitor functions | p. 195 |
| Continuous perspective | p. 196 |
| Function approximation perspective | p. 200 |
| Mesh quality measures | p. 202 |
| Analytical and numerical examples | p. 208 |
| Biographical notes | p. 211 |
| Exercises | p. 213 |
| Monitor Functions | p. 215 |
| Interpolation theory in Sobolev spaces | p. 216 |
| Error estimates for linear Lagrange interpolation at vertices | p. 216 |
| A classical result | p. 220 |
| Relations between norms on affine-equivalent elements | p. 222 |
| Isotropic error bounds | p. 228 |
| Anisotropic error bounds: Case I=1 | p. 230 |
| Anisotropic error bounds: Case I>2 | p. 231 |
| Interpolation error on element faces | p. 231 |
| Monitor functions based on interpolation error | p. 234 |
| Monitor function based on isotropic error estimates | p. 234 |
| Monitor function based on anisotropic error estimates: I = 1 | p. 246 |
| Monitor function based on anisotropic error estimates: I = 2 | p. 253 |
| The Hessian as the monitor function | p. 262 |
| Summary of formulas-continuous form | p. 265 |
| Computation of monitor functions | p. 266 |
| Recovery of solution derivatives | p. 266 |
| Computation of the absolute value of Hessian matrix | p. 267 |
| Smoothing | p. 272 |
| Monitor functions for multicomponent solutions | p. 272 |
| Monitor functions based on semi-a posteriori and a posteriori error estimates | p. 273 |
| A semi-a posteriori method | p. 274 |
| A hierarchical basis method | p. 276 |
| Additional considerations for defining monitor functions | p. 278 |
| Monitor functions based on distance to interfaces | p. 278 |
| Monitor functions based on a reference mesh | p. 278 |
| Biographical notes | p. 280 |
| Exercises | p. 280 |
| Variational Mesh Adaptation Methods | p. 281 |
| General framework for variational methods and MMPDEs | p. 282 |
| General adaptation functional and mesh equations | p. 283 |
| Moving mesh PDEs | p. 294 |
| Boundary conditions for coordinate transformation | p. 297 |
| Existence of minimizer | p. 298 |
| Convex functionals | p. 299 |
| Polyconvex functionals | p. 301 |
| Examples of convex and polyconvex mesh adaptation functionals | p. 303 |
| Discretization and solution procedures | p. 306 |
| Finite difference methods | p. 307 |
| Finite element methods | p. 311 |
| Methods based on equidistribution and alignment conditions | p. 312 |
| Functional tor mesh alignment | p. 312 |
| Functional for equidistribution | p. 313 |
| Mesh adaptation functional | p. 314 |
| Another mesh adaptation functional | p. 317 |
| Numerical examples | p. 320 |
| Methods based on physical and geometric models | p. 325 |
| Variable diffusion methods | p. 326 |
| Harmonic mapping methods | p. 337 |
| Hybrid methods and directional control | p. 345 |
| Jacobian-weighted methods | p. 349 |
| Methods based on mechanical models | p. 352 |
| Methods based on Monge-Ampere equation Monge-Kantorovich optimal transport problem | p. 356 |
| Summary | p. 362 |
| Exaruples of applications | p. 364 |
| Biographical notes | p. 371 |
| Exercises | p. 372 |
| Velocity-Based Adaptive Methods | p. 379 |
| Methods based on geometric conservation law | p. 379 |
| GCLmethod | p. 380 |
| Deformation map method | p. 387 |
| Static version | p. 387 |
| A moving mesh finite element method based on GCL | p. 388 |
| MPE-moving finite element method | p. 392 |
| Other approaches | p. 395 |
| Method based on attraction-repulsion | p. 395 |
| Methods based on spring models | p. 396 |
| Methods based on minimizing convection tenus | p. 398 |
| Exercises | p. 399 |
| Soholev spaces | p. 401 |
| Arithmetic-mean geometric-mean inequality and Jensen's hiequaIity | p. 407 |
| References | p. 409 |
| Nomenelatnre | p. 427 |
| Index | p. 429 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9781441979155
ISBN-10: 1441979158
Series: Applied Mathematical Sciences
Published: 27th October 2010
Format: Hardcover
Language: English
Number of Pages: 452
Audience: Professional and Scholarly
Publisher: Springer Nature B.V.
Country of Publication: GB
Dimensions (cm): 24.0 x 16.0 x 2.9
Weight (kg): 0.79
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