Domain Decomposition Methods in Science and Engineering XVIII (eBook)
XVI, 376 Seiten
Springer Berlin (Verlag)
978-3-642-02677-5 (ISBN)
Preface 5
Contents 13
Part I Plenary Presentations 17
A Domain Decomposition Approach for Calculating the GraphCorresponding to a Fibrous Geometry 18
1 Introduction 18
2 Preliminaries 19
3 Statement of the Problem 20
4 A Divide and Conquer Algorithm 20
4.1 Numerical Complexity of Algorithm 1 21
5 Numerical Results and Conclusions 23
References 29
Adaptive Multilevel Interior-Point Methods in PDE ConstrainedOptimization 30
1 Introduction 30
2 Optimal Design of Processes and Systems 31
3 Adaptive Multilevel Primal-Dual Interior Point Methods 32
4 Numerical Results 36
References 39
Numerical Homogeneisation Technique with Domain DecompositionBased a-posteriori Error Estimates 42
1 Introduction 42
2 Mechanical Problem 43
3 Numerical Homogeneisation 44
4 Error Control 45
4.1 Motivation and Reference Local Solution 45
4.2 Adjoint Equation 47
4.3 Explicit a Posteriori Error Estimate 48
4.4 Numerical Solution of the Adjoint Problem 49
5 Numerical Results 49
6 Conclusions 51
References 51
Multiscale Methods for Multiphase Flow in Porous Media 53
1 Introduction 53
2 A Framework for Discussing Multiscale Methods 54
3 A Model Problem for Multiphase Flow 55
4 Some Upscaling Methods 56
4.1 Permeability Upscaling 56
4.2 Saturation Upscaling 58
4.3 Vertically Integrated Models 59
5 Multiscale Numerical Methods 60
5.1 The Variational Multiscale Method 60
5.2 A VMS Approach for the Implicit Time-Discretized Pressure Equation 61
6 Conclusions 62
References 62
Mixed Plane Wave Discontinuous Galerkin Methods 65
1 Introduction 65
2 Mixed Discontinuous Galerkin Approach 66
3 Convergence Analysis of the Mixed PWDG Method 68
4 Conclusion 75
References 75
Numerical Zoom and the Schwarz Algorithm 77
1 Introduction 77
Chimera 77
Hilbert Space Decomposition Method 78
Harmonic Patch Iterator 79
One Way Schwarz 80
2 Convergence of Schwarz' Algorithm on Arbitrary Non-Matching Meshes 81
Numerical Tests 84
3 Numerical Comparison of the Methods 85
4 Conclusion 87
References 87
BDDC for Nonsymmetric Positive Definite and Symmetric IndefiniteProblems 88
1 Introduction 88
2 Finite Element Discretization 89
2.1 Nonsymmetric, Positive Definite Problems 89
2.2 Symmetric, Indefinite Problems 90
3 The BDDC Preconditioners 91
4 Convergence Rate Analysis 92
4.1 Nonsymmetric, Positive Cases 93
4.2 Symmetric, Indefinite Cases 94
5 Numerical Experiments 95
5.1 Nonsymmetric, Positive Definite Cases 95
5.2 Symmetric and Indefinite Cases 95
References 98
Accomodating Irregular Subdomains in Domain Decomposition Theory 100
1 Introduction 100
2 A Poincaré Inequality, John and Jones Domains 102
3 FETI-DP and BDDC Algorithms 104
4 An Overlapping Schwarz Method 107
5 Almost Incompressible Elasticity 109
References 110
Auxiliary Space Preconditioners for Mixed Finite Element Methods 112
1 Introduction 112
2 HX-Preconditioner for H(div) Systems 113
3 Application to Mixed Method 116
4 Numerical Results 118
4.1 Constant Coefficients 118
4.2 Variable Coefficients 118
4.3 Augmented Lagrangian Iterations 120
5 Conclusions 121
References 121
Part II Minisymposia 123
A Multilevel Domain Decomposition Solver Suited to NonsmoothMechanical Problems 124
1 Introduction 124
2 A Multiscale Description 124
3 Preliminary: Linear Elastic Case 125
4 Nonsmooth Case: a Tensegrity Grid 128
5 Conclusions 130
References 130
A FETI-2LM Method for Non-Matching Grids 132
1 Introduction 132
2 FETI-2LM method 132
2.1 Discrete Approach 132
2.2 Optimal Interface Operator 134
3 Mortar Method 135
4 A FETI-2LM Method for Non-conforming Interfaces 136
5 Localization of Non-conforming Interface Matching Conditions 137
6 Conclusion 138
References 139
Truncated Nonsmooth Newton Multigrid Methods for ConvexMinimization Problems 140
1 Introduction 140
2 A Nonsmooth Newton Method 141
3 Multigrid 143
4 Example I: Two-Body Contact in Linear Elasticity 144
5 Example II: The Allen-Cahn Equation 145
References 147
A Recursive Trust-Region Method for Non-Convex ConstrainedMinimization 148
1 Introduction 148
2 The Multilevel Setting 149
3 Recursive Trust-Region Methods 150
3.1 Convergence to First-Order Critical Points 151
4 Numerical Example 154
References 154
A Robin Domain Decomposition Algorithm for Contact Problems:Convergence Results 156
1 Introduction 156
2 Weak Formulation of the Continuous Problem 156
3 The Domain Decomposition Algorithm 158
4 Convergence 159
5 Numerical Experiments 161
References 162
Patch Smoothers for Saddle Point Problems with Applicationsto PDE-Constrained Optimization Problems 164
1 Introduction 164
2 An Optimal Control Problem 165
3 The Multigrid Method 167
3.1 The Patch Smoother 168
4 Numerical Experiments 169
References 171
A Domain Decomposition Preconditioner of Neumann-NeumannType for the Stokes Equations 172
1 Introduction 172
2 DDM for the Stokes Equations 173
2.1 Stokes Equations 173
2.2 A New Algorithm for the Stokes Equations 173
3 Numerical Results 174
References 178
Non-overlapping Domain Decomposition for the Richards Equationvia Superposition Operators 180
1 Introduction 180
2 Weak Forms of the Domain Decomposition Problems 182
3 Kirchhoff Transformation as a Superposition Operator 183
4 Equivalence of the Weak Formulations 186
References 187
Convergence Behavior of a Two-Level Optimized Schwarz Preconditioner 188
1 Introduction 188
2 Domain Decomposition Preconditioners 189
2.1 One-Level Preconditioners 189
2.2 Interpretation of the Algebraic Condition 190
2.3 Two-Level Preconditioners 191
3 Numerical Results 192
3.1 Dependence on h 192
3.2 Dependence on H, with Generous Overlap 193
3.3 A Weak Scalability Test 193
4 Best Robin Parameter 193
References 195
An Algorithm for Non-Matching Grid Projections with Linear Complexity 196
1 Introduction 196
2 Towards an Optimal Algorithm 196
3 The Algorithm for Computing the Intersection 198
4 The Projection Algorithm with Linear Complexity 199
5 Numerical Experiments 201
6 Conclusions 201
References 202
A Maximum Principle for L2-Trace Norms withan Application to Optimized Schwarz Methods 204
1 Introduction 204
2 The Maximum Principle for L2-Trace Norms 205
2.1 Preliminaries on the Domain and the Interfaces 205
2.2 (,a,c)-Harmonicity 206
2.3 -Relative Uniformity 207
2.4 Maximum Principle for L2-Trace Norms 208
3 Applications to Schwarz Methods 210
References 211
An Extended Mathematical Framework for Barrier Methodsin Function Space 212
1 Convex State Constrained Optimal Control 212
1.1 Linear Equality Constraints 213
1.2 Inequality Constraints and Convex Functionals 213
1.3 Example: A class of Elliptic PDEs 214
2 The Homotopy Path and its Properties 215
References 219
Optimized Schwarz Preconditioning for SEM BasedMagnetohydrodynamics 220
1 Introduction 220
2 Governing Equations and Discretization 221
3 From Classical to Optimized Schwarz 223
4 Discretization of the Optimized Schwarz 224
5 Numerical Experiments 226
References 227
Nonlinear Overlapping Domain Decomposition Methods 228
1 Introduction 228
2 Newton-Krylov-Schwarz Algorithms 230
3 Classical Schwarz Alternating Algorithms 231
4 Nonlinear Additive Schwarz Preconditioned Inexact Newton Algorithms 231
5 Nonlinear Elimination Algorithms 232
6 Nonlinear Restricted Additive Schwarz Algorithms 233
7 Concluding Remarks 234
References 235
Optimized Schwarz Waveform Relaxation: Roots, Blossoms and Fruits 236
1 Introduction: Parallel Processing of Evolution Problems 236
2 Roots: Waveform Relaxation for ODEs 237
3 Blossoms: Classical Schwarz Waveform Relaxation for Parabolic Equations 238
4 Fruits: Optimized Schwarz Waveform Relaxationfor Parabolic Equations 239
5 Other Fruits: Optimized Schwarz Waveform Relaxationfor Other Types of PDEs 240
6 New Blossoms: Space-Time Coupling and Refinements 241
References 242
Optimized Schwarz Methods 244
1 Introduction: Original Schwarz Method (1870) 244
1.1 Towards Faster Methods: Two Families of Methods 245
2 Modified Schwarz Method 246
2.1 Generalized Schwarz Methods 246
2.2 Optimal Interface Conditions 247
3 Conclusion and Open Problems 249
References 249
The Development of Coarse Spaces for DomainDecomposition Algorithms 252
1 Introduction 252
2 Early Two-Level Domain Decomposition Methods 253
3 Additional Comments 255
4 Other Iterative Substructuring Methods 255
5 FETI-DP and BDDC 256
6 Additional Roles for Coarse Spaces 257
References 257
Part III Contributed Presentations 260
Distributed Decomposition Over Hyperspherical Domains 261
1 Global Optimization for Semiconductor LithographyMask Design 261
1.1 Convex Partitions of the Feasible Domain 262
2 Partitions of n-Space 263
3 Incomplete Search Heuristics 263
4 Hypersphere Decomposition 264
4.1 Previous Work 264
4.2 A Memory-Efficient Tree Storage Scheme for Equal AreaHypersphere Regions 265
4.3 Parallel Decomposition 266
5 Ongoing Work 267
References 267
Domain Decomposition Preconditioning for Discontinuous GalerkinApproximations of Convection-Diffusion Problems 269
1 Introduction 269
2 Statement of the Problem and its DG Approximation 269
3 Nonoverlapping Schwarz Methods 271
4 The Issue of Convergence 272
5 Numerical Experiments 273
References 276
Linearly Implicit Domain Decomposition Methods for NonlinearTime-Dependent Reaction-Diffusion Problems 277
1 Introduction 277
2 Spatial Discretization 278
3 Time Integration 279
4 Numerical Results 282
References 284
NKS for Fully Coupled Fluid-Structure Interaction with Application 285
1 Introduction 285
2 Governing Equations 285
3 Spatial Discretization 287
4 Temporal Discretization 288
5 Solving the Nonlinear System 289
6 Numerical Results 290
7 Conclusion 291
References 292
Weak Information Transfer between Non-Matching Warped Interfaces 293
1 Introduction 293
2 Discrete Information Transfer 294
3 The Discrete Coupling Operator 295
4 Numerical Results 299
References 300
Computational Tool for a Mini-Windmill Study with SOFT 301
1 Introduction and Motivation 301
2 Flow Solver 303
3 FSI 304
4 Parallel Computing Scenario and Conclusion 306
References 307
On Preconditioners for Generalized Saddle Point Problemswith an Indefinite Block 308
1 Introduction 308
2 General Assumptions 309
3 Block Diagonal Preconditioner 311
4 Block Upper Triangular Preconditioner 311
5 Lower Block Triangular Preconditioner 312
6 Numerical Experiments 313
7 Conclusions 314
References 314
Lower Bounds for Eigenvalues of Elliptic Operators by OverlappingDomain Decomposition 316
1 Introduction 316
2 Description of the Method 317
3 Two Simple Examples 321
References 322
From the Boundary Element Domain Decomposition Methods to LocalTrefftz Finite Element Methods on Polyhedral Meshes 324
1 Introduction 324
2 The Potential Equation 325
3 The Helmholtz Equation 328
4 The Maxwell Equations 328
5 Conclusions 330
References 330
An Additive Neumann-Neumann Method for Mortar Finite Elementfor 4th Order Problems 332
1 Introduction 332
2 Discrete Problem 333
3 Neumann-Neumann Method 335
3.1 Local Subspaces 335
3.2 Coarse Space 336
References 338
A Numerically Efficient Scheme for Elastic Immersed Boundaries 340
1 Introduction 340
2 Discretization of the IBM 340
3 Volume Conservation Method Based on Constrained Optimization 342
4 Application of the IBM and Conclusion 345
References 346
A Domain Decomposition Method Based on Augmented Lagrangianwith a Penalty Term 348
1 Introduction 348
2 Saddle-Point Formulation 349
3 Iterative Substructuring Method 350
4 Computational Issues and Numerical Results 352
4.1 Computational Issues 352
4.2 Numerical Results 353
5 Conclusions 354
References 355
Parallelization of a Constrained Three-Dimensional Maxwell Solver 356
1 Introduction 356
2 Constrained Wave Equation Formulation 357
3 Variational Formulations 357
4 Space and Time Discretization 359
5 Solution of the Doubly Constrained System 361
6 Numerical Application 362
7 Conclusion 363
References 363
A Discovery Algorithm for the Algebraic Construction of OptimizedSchwarz Preconditioners 364
1 Introduction 364
2 Discovery Algorithm 365
2.1 Interface Detection 366
2.2 Extraction of Physical and Discretization Parameters 366
2.3 Construction of the Optimized Transmission Condition 367
3 Numerical Experiments 369
References 371
On the Convergence of Optimized Schwarz Methodsby way of Matrix Analysis 372
1 Introduction 372
1.1 Model Problem and Notation 373
2 Convergence of OSM 375
3 Numerical Experiments 377
References 378
| Erscheint lt. Verlag | 1.9.2009 |
|---|---|
| Reihe/Serie | Lecture Notes in Computational Science and Engineering | Lecture Notes in Computational Science and Engineering |
| Zusatzinfo | XVI, 376 p. 81 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Naturwissenschaften ► Physik / Astronomie | |
| Technik | |
| Schlagworte | algorithms • Approximation • Complexity • domain decomposition • finite elements • Graph • Information • Matching • Optimization • Parallel Computing • preconditioned conjugate gradients |
| ISBN-10 | 3-642-02677-X / 364202677X |
| ISBN-13 | 978-3-642-02677-5 / 9783642026775 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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