
Domain Decomposition Methods in Science and Engineering XIX
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2 - Contents [Seite 10]
3 - Contributors [Seite 15]
4 - Part I Plenary Presentations [Seite 23]
4.1 - Domain Decomposition and hp-Adaptive Finite Elements [Seite 24]
4.1.1 - 1 Introduction [Seite 24]
4.1.2 - 2 A Posteriori Error Estimate [Seite 25]
4.1.3 - 3 Basis Functions [Seite 26]
4.1.4 - 4 Parallel Adaptive Algorithm [Seite 27]
4.1.5 - 5 DD Solver [Seite 28]
4.1.6 - 6 Numerical Results [Seite 31]
4.1.7 - Bibliography [Seite 34]
4.2 - Domain Decomposition Methods for Electromagnetic Wave Propagation Problems in Heterogeneous Media and Complex Domains [Seite 35]
4.2.1 - 1 Introduction [Seite 35]
4.2.2 - 2 Continuous Problem [Seite 36]
4.2.3 - 3 A Family of Schwarz DD Algorithms [Seite 37]
4.2.4 - 4 Discretization by a High Order DG Method [Seite 38]
4.2.4.1 - 4.1 Discretization of the Monodomain Problem [Seite 38]
4.2.4.2 - 4.2 Discretization of the DD Algorithm [Seite 39]
4.2.4.2.1 - DG Formulation of the Multi-Domain Problem [Seite 39]
4.2.4.2.2 - Formulation of an Interface System [Seite 40]
4.2.5 - 5 Numerical Results [Seite 41]
4.2.5.1 - 5.1 The 2D Case [Seite 41]
4.2.5.2 - 5.2 The 3D Case [Seite 43]
4.2.6 - 6 Ongoing and Future Work [Seite 44]
4.2.7 - Bibliography [Seite 45]
4.3 - N--N Solvers for a DG Discretization for Geometrically Nonconforming Substructures and Discontinuous Coefficients [Seite 47]
4.3.1 - 1 Summary [Seite 47]
4.3.2 - 2 Introduction [Seite 47]
4.3.3 - 3 Differential and Discrete Problems [Seite 49]
4.3.3.1 - 3.1 Differential Problem [Seite 49]
4.3.3.2 - 3.2 Discrete Problem [Seite 49]
4.3.3.3 - 3.3 Schur Complement Problem [Seite 50]
4.3.4 - 4 Notation and the Interface Condition [Seite 53]
4.3.5 - 5 Additive Preconditioners [Seite 55]
4.3.5.1 - 5.1 Local Problems [Seite 55]
4.3.5.2 - 5.2 Coarse Problems [Seite 56]
4.3.5.3 - 5.3 Condition Number Estimate for Tas,I [Seite 56]
4.3.6 - 6 Final Remarks [Seite 57]
4.3.7 - Bibliography [Seite 57]
4.4 - On Adaptive-Multilevel BDDC [Seite 59]
4.4.1 - 1 Introduction [Seite 59]
4.4.2 - 2 Abstract BDDC for a Model Problem [Seite 60]
4.4.2.1 - 2.1 Multilevel BDDC [Seite 61]
4.4.3 - 3 Indicator of the Condition Number Bound [Seite 63]
4.4.4 - 4 Optimal Coarse Degrees of Freedom [Seite 64]
4.4.5 - 5 Adaptive-Multilevel BDDC in 2D [Seite 65]
4.4.6 - 6 Numerical Examples and Conclusion [Seite 66]
4.4.7 - Bibliography [Seite 70]
4.5 - Interpolation Based Local Postprocessing for Adaptive Finite Element Approximations in Electronic Structure Calculations [Seite 71]
4.5.1 - 1 Introduction [Seite 71]
4.5.2 - 2 Interpolation Based Finite Element Postprocessing [Seite 73]
4.5.2.1 - 2.1 Finite Element Discretizations [Seite 74]
4.5.2.2 - 2.2 Interpolation Based Local Postprocessing [Seite 75]
4.5.2.3 - 2.3 Quantum Harmonic Oscillator [Seite 75]
4.5.3 - 3 Applications to Electronic Structure Calculations [Seite 76]
4.5.3.1 - 3.1 Linearization of Kohn--Sham Equation [Seite 76]
4.5.3.2 - 3.2 Experiments [Seite 77]
4.5.3.2.1 - Benzene [Seite 78]
4.5.3.2.2 - Fullerene [Seite 79]
4.5.4 - 4 Concluding Remarks [Seite 80]
4.5.5 - Bibliography [Seite 80]
4.6 - A New a Posteriori Error Estimate for Adaptive Finite Element Methods [Seite 82]
4.6.1 - 1 Introduction [Seite 82]
4.6.2 - 2 A Posteriori Error Estimate [Seite 83]
4.6.3 - 3 Numerical Validation and Applications [Seite 89]
4.6.4 - Bibliography [Seite 92]
4.7 - Space-Time Nonconforming Optimized Schwarz Waveform Relaxation for Heterogeneous Problems and General Geometries [Seite 94]
4.7.1 - 1 Introduction [Seite 94]
4.7.2 - 2 The Continuous OSWR Algorithm [Seite 95]
4.7.3 - 3 Numerical Results [Seite 100]
4.7.4 - 4 Conclusions [Seite 103]
4.7.5 - Bibliography [Seite 105]
4.8 - Convergence Behaviour of Dirichlet--Neumann and Robin Methods for a Nonlinear Transmission Problem [Seite 106]
4.8.1 - 1 Introduction [Seite 106]
4.8.2 - 2 Transmission Problem with Jumping Nonlinearities [Seite 108]
4.8.3 - 3 Nonlinear Dirichlet--Neumann and Robin Methods [Seite 109]
4.8.3.1 - 3.1 The Methods and Their Steklov--Poincaré Formulations [Seite 109]
4.8.3.2 - 3.2 Convergence Results [Seite 110]
4.8.4 - 4 Parameter Studies for the Dirichlet--Neumann Method [Seite 111]
4.8.5 - 5 Parameter Studies for the Robin Method [Seite 114]
4.8.6 - Bibliography [Seite 117]
5 - Part II Minisymposia [Seite 118]
5.1 - Optimal Interface Conditions for an Arbitrary Decomposition into Subdomains [Seite 119]
5.1.1 - 1 Optimal Interface Conditions [Seite 119]
5.1.2 - 2 Notation and Assumptions [Seite 120]
5.1.3 - 3 Construction of the Method [Seite 120]
5.1.4 - 4 Sparsity Pattern [Seite 122]
5.1.5 - 5 Numerical Examples [Seite 124]
5.1.6 - 6 Conclusion [Seite 125]
5.1.7 - Bibliography [Seite 126]
5.2 - Optimized Schwarz Methods for Domains with an Arbitrary Interface [Seite 127]
5.2.1 - 1 Introduction [Seite 127]
5.2.2 - 2 First-Order Boundary Condition [Seite 128]
5.2.3 - 3 Higher-Order Boundary Condition [Seite 130]
5.2.4 - Bibliography [Seite 133]
5.3 - Can the Discretization Modify the Performance of Schwarz Methods? [Seite 135]
5.3.1 - 1 Introduction [Seite 135]
5.3.2 - 2 The Cauchy--Riemann Equations [Seite 135]
5.3.3 - 3 The Positive Definite Helmholtz Equation [Seite 140]
5.3.4 - 4 Conclusions [Seite 141]
5.3.5 - Bibliography [Seite 141]
5.4 - The Pole Condition: A Padé Approximation of the Dirichlet to Neumann Operator [Seite 143]
5.4.1 - 1 Introduction [Seite 143]
5.4.2 - 2 Model Problem [Seite 144]
5.4.3 - 3 The Pole Condition [Seite 145]
5.4.4 - 4 Error Estimate [Seite 147]
5.4.5 - Bibliography [Seite 149]
5.5 - Discontinuous Galerkin and Nonconforming in Time Optimized Schwarz Waveform Relaxation [Seite 151]
5.5.1 - 1 Introduction [Seite 151]
5.5.2 - 2 Local Problem and Time Discontinuous Galerkin [Seite 152]
5.5.3 - 3 The Optimized Schwarz Waveform Relaxation Algorithm Discretized in Time with Different Subdomain Grids [Seite 153]
5.5.4 - 4 Numerical Results [Seite 156]
5.5.5 - 5 Conclusions [Seite 158]
5.5.6 - Bibliography [Seite 158]
5.6 - Two-Level Methods for Blood Flow Simulation [Seite 159]
5.6.1 - 1 Introduction [Seite 159]
5.6.2 - 2 Mathematical Model and Discretization [Seite 159]
5.6.3 - 3 Two-Level Newton and Schwarz Methods [Seite 161]
5.6.4 - 4 Numerical Results [Seite 163]
5.6.5 - 5 Conclusion [Seite 166]
5.6.6 - Bibliography [Seite 166]
5.7 - Newton-Krylov-Schwarz Method for a Spherical Shallow Water Model [Seite 167]
5.7.1 - 1 Introduction [Seite 167]
5.7.2 - 2 Governing Equations [Seite 167]
5.7.3 - 3 Discretizations [Seite 168]
5.7.4 - 4 Nonlinear Solver [Seite 169]
5.7.5 - 5 Numerical Results [Seite 170]
5.7.6 - Bibliography [Seite 172]
5.8 - A Parallel Scalable PETSc-Based Jacobi-Davidson Polynomial Eigensolver with Application in Quantum Dot Simulation [Seite 174]
5.8.1 - 1 Introduction [Seite 174]
5.8.2 - 2 A Description of the ASPJD Algorithm [Seite 175]
5.8.3 - 3 A PETSc-Based ASPJD Polynomial Eigensolver [Seite 177]
5.8.4 - 4 Numerical Results [Seite 178]
5.8.5 - Bibliography [Seite 180]
5.9 - Two-Level Multiplicative Domain Decomposition Algorithm for Recovering the Lamé Coefficient in Biological Tissues [Seite 182]
5.9.1 - 1 Introduction [Seite 182]
5.9.2 - 2 Recovering the Lamé Coefficient in Biological Tissues [Seite 182]
5.9.3 - 3 Lagrange-Newton-Krylov-Schwarz Algorithm [Seite 184]
5.9.4 - 4 Numerical Results and Discussion [Seite 186]
5.9.5 - 5 Concluding Remarks [Seite 188]
5.9.6 - Bibliography [Seite 189]
5.10 - Robust Preconditioner for H(curl) Interface Problems [Seite 190]
5.10.1 - 1 Introduction [Seite 190]
5.10.2 - 2 Regular Decomposition [Seite 191]
5.10.3 - 3 Auxiliary Space Preconditioners [Seite 194]
5.10.4 - 4 Conclusions [Seite 196]
5.10.5 - Bibliography [Seite 196]
5.11 - Mixed Multiscale Finite Element Analysis for Wave Equations Using Global Information [Seite 198]
5.11.1 - 1 Introduction [Seite 198]
5.11.2 - 2 Preliminaries [Seite 199]
5.11.3 - 3 Mixed MsFEM Analysis [Seite 200]
5.11.3.1 - 3.1 Mixed MsFEM Formulation [Seite 200]
5.11.3.2 - 3.2 A Priori Error Estimates for Continuous Time [Seite 202]
5.11.3.3 - 3.3 A Priori Error Estimate for Discrete Time [Seite 204]
5.11.4 - 4 Conclusions [Seite 205]
5.11.5 - Bibliography [Seite 205]
5.12 - A Domain Decomposition Preconditioner for Multiscale High-Contrast Problems [Seite 206]
5.12.1 - 1 Summary [Seite 206]
5.12.2 - 2 Introduction [Seite 206]
5.12.3 - 3 Problem Setting and Domain Decomposition Framework [Seite 207]
5.12.4 - 4 Coarse-Space-Completing Eigenvalue Problem and Stability Estimates [Seite 209]
5.12.5 - 5 Numerical Results [Seite 211]
5.12.6 - Bibliography [Seite 213]
5.13 - Weighted Poincaré Inequalities and Applications in Domain Decomposition [Seite 214]
5.13.1 - 1 Introduction [Seite 214]
5.13.2 - 2 Weighted Poincaré Inequalities [Seite 215]
5.13.3 - 3 Explicit Dependence on Geometrical Parameters [Seite 217]
5.13.4 - Bibliography [Seite 220]
5.14 - Technical Tools for Boundary Layers and Applications to Heterogeneous Coefficients [Seite 222]
5.14.1 - 1 Summary [Seite 222]
5.14.2 - 2 Introduction and Assumptions [Seite 222]
5.14.3 - 3 Technical Tools for Layers [Seite 224]
5.14.3.1 - 3.1 Technical Tools for DDMs [Seite 225]
5.14.4 - 4 Dual-Primal Formulation [Seite 226]
5.14.5 - 5 FETI-DP Preconditioner [Seite 228]
5.14.6 - Bibliography [Seite 229]
5.15 - Coarse Spaces over the Ages [Seite 230]
5.15.1 - 1 Introduction [Seite 230]
5.15.2 - 2 Local Nullspace and Bounded Energy Conditions [Seite 230]
5.15.3 - 3 Some Early Domain Decomposition Methods [Seite 232]
5.15.4 - 4 Balancing Domain Decomposition (BDD) and FETI [Seite 233]
5.15.5 - 5 BDDC and FETI-DP [Seite 234]
5.15.6 - 6 Adaptive Methods by Enriching the Coarse Space [Seite 235]
5.15.7 - Bibliography [Seite 235]
5.16 - FETI-DP for Stokes-Mortar-Darcy Systems [Seite 238]
5.16.1 - 1 Introduction and Problem Setting [Seite 238]
5.16.2 - 2 Weak Formulation [Seite 239]
5.16.3 - 3 Discretization and Decomposition [Seite 240]
5.16.4 - 4 Dual Formulation [Seite 242]
5.16.4.1 - 4.1 Dirichlet Preconditioner [Seite 243]
5.16.5 - 5 Numerical Results [Seite 244]
5.16.6 - Bibliography [Seite 245]
5.17 - Multigrid Methods for Elliptic Obstacle Problems on 2D Bisection Grids [Seite 246]
5.17.1 - 1 Introduction [Seite 246]
5.17.2 - 2 Constraint Decomposition Methods [Seite 247]
5.17.3 - 3 A Constraint Decomposition on Bisection Grids [Seite 248]
5.17.4 - 4 Numerical Experiments [Seite 252]
5.17.5 - Bibliography [Seite 252]
5.18 - How Close to the Fully Viscous Solution Can One Get with Inviscid Approximations in Subregions ? [Seite 254]
5.18.1 - 1 Introduction [Seite 254]
5.18.2 - 2 Model Problem [Seite 255]
5.18.3 - 3 Factorization of the Differential Operator [Seite 256]
5.18.4 - 4 Optimal Coupling Conditions and Approximations [Seite 257]
5.18.5 - 5 Numerical Asymptotic Study [Seite 258]
5.18.6 - 6 Conclusions [Seite 260]
5.18.7 - Bibliography [Seite 260]
5.19 - Schwarz Waveform Relaxation Algorithms with Nonlinear Transmission Conditions for Reaction-Diffusion Equations [Seite 262]
5.19.1 - 1 Introduction [Seite 262]
5.19.2 - 2 Problem Description [Seite 263]
5.19.3 - 3 The Schwarz Waveform Relaxation Algorithm [Seite 263]
5.19.3.1 - 3.1 Non-overlapping Algorithms of Order Zero and Two [Seite 264]
5.19.3.2 - 3.2 Well-Posedness and Convergence [Seite 264]
5.19.4 - 4 Discretization [Seite 265]
5.19.4.1 - 4.1 Nonlinear Transmission Conditions [Seite 265]
5.19.4.2 - 4.2 Implementation of the Iterative Algorithm [Seite 266]
5.19.5 - 5 Numerical Results [Seite 267]
5.19.5.1 - 5.1 A Simple Model in Geological CO2 Storage Modeling [Seite 268]
5.19.6 - Bibliography [Seite 269]
5.20 - Recent Advances in Schwarz Waveform Moving Mesh Methods -- A New Moving Subdomain Method [Seite 270]
5.20.1 - 1 Introduction [Seite 270]
5.20.2 - 2 Moving Meshes [Seite 270]
5.20.3 - 3 Domain Decomposition Strategies [Seite 272]
5.20.3.1 - 3.1 SWR in Physical Co-ordinates -- Existing Methods [Seite 273]
5.20.3.2 - 3.2 SWR in Computational Co-ordinates -- A New Approach [Seite 274]
5.20.4 - 4 Numerical Results and Comments [Seite 275]
5.20.5 - Bibliography [Seite 277]
5.21 - Optimized Schwarz Waveform Relaxation Methods: A Large Scale Numerical Study [Seite 278]
5.21.1 - 1 Introduction [Seite 278]
5.21.2 - 2 Optimized Schwarz Waveform Relaxation [Seite 278]
5.21.3 - 3 Theoretical Results [Seite 279]
5.21.4 - 4 Numerical Experiments [Seite 282]
5.21.5 - 5 Conclusions [Seite 284]
5.21.6 - Bibliography [Seite 285]
5.22 - Optimized Schwarz Methods for Maxwell's Equations with Non-zero Electric Conductivity [Seite 286]
5.22.1 - 1 Introduction [Seite 286]
5.22.2 - 2 Schwarz Methods for Maxwell's Equations [Seite 286]
5.22.3 - 3 Analysis for Non-zero Electric Conductivity [Seite 288]
5.22.4 - 4 Numerical Results [Seite 291]
5.22.5 - 5 Conclusion [Seite 293]
5.22.6 - Bibliography [Seite 293]
5.23 - Robust Boundary Element Domain Decomposition Solvers in Acoustics [Seite 294]
5.23.1 - 1 Introduction [Seite 294]
5.23.2 - 2 Formulation of the Domain Decomposition Approach [Seite 294]
5.23.3 - 3 Construction of Preconditioners [Seite 297]
5.23.3.1 - 3.1 Local Preconditioners [Seite 297]
5.23.3.2 - 3.2 Global Preconditioners [Seite 298]
5.23.4 - 4 Numerical Examples [Seite 299]
5.23.4.1 - 4.1 Local Preconditioners [Seite 299]
5.23.4.2 - 4.2 Global Preconditioners [Seite 300]
5.23.5 - Bibliography [Seite 301]
5.24 - A Newton Based Fluid--Structure Interaction Solver with Algebraic Multigrid Methods on Hybrid Meshes [Seite 302]
5.24.1 - 1 Problem Setting of the Fluid--Structure Interaction [Seite 302]
5.24.1.1 - 1.1 Geometrical Description [Seite 302]
5.24.1.2 - 1.2 The Physical Model [Seite 303]
5.24.1.3 - 1.3 Reformulation of the Model [Seite 304]
5.24.1.4 - 1.4 Time Semi-Discretized Weak Formulations [Seite 305]
5.24.1.4.1 - Time Semi-discretized Structure Weak Formulation [Seite 305]
5.24.1.4.2 - Time Semi-discretized Fluid Weak Formulation [Seite 305]
5.24.1.4.3 - The Variational Form of the Interface Equation [Seite 306]
5.24.2 - 2 Newton's Method for the Interface Equation [Seite 307]
5.24.3 - 3 Finite Element Discretization on Hybrid Meshes [Seite 307]
5.24.4 - 4 AMG for the Structure and the Fluid Sub-problems [Seite 307]
5.24.5 - 5 Numerical Results [Seite 308]
5.24.6 - Bibliography [Seite 309]
5.25 - Coupled FE/BE Formulations for the Fluid--Structure Interaction [Seite 310]
5.25.1 - 1 Introduction [Seite 310]
5.25.2 - 2 Integral Equations and Variational Formulations [Seite 311]
5.25.3 - 3 Symmetric Coupling of Finite and Boundary Elements [Seite 312]
5.25.4 - 4 Nonsymmetric Finite and Boundary Element Coupling [Seite 314]
5.25.4.1 - 4.1 A Second Kind Boundary Integral Equation Approach [Seite 314]
5.25.4.2 - 4.2 A First Kind Boundary Integral Equation Approach [Seite 315]
5.25.5 - 5 Conclusions [Seite 316]
5.25.6 - Bibliography [Seite 317]
5.26 - Domain Decomposition Solvers for Frequency-Domain Finite Element Equations [Seite 318]
5.26.1 - 1 Introduction [Seite 318]
5.26.2 - 2 Frequency-Domain Finite Element Equations [Seite 319]
5.26.3 - 3 Domain Decomposition Solver [Seite 321]
5.26.4 - 4 A Symmetric and Indefinite Reformulation [Seite 322]
5.26.5 - 5 Conclusions, Outlook, and Acknowledgments [Seite 324]
5.26.6 - Bibliography [Seite 324]
5.27 - Deriving the X-Z Identity from Auxiliary Space Method [Seite 326]
5.27.1 - 1 Iterative Methods [Seite 326]
5.27.2 - 2 Auxiliary Space Method [Seite 327]
5.27.3 - 3 Auxiliary Spaces of Product Type [Seite 329]
5.27.4 - 4 Method of Subspace Correction [Seite 331]
5.27.5 - Bibliography [Seite 333]
5.28 - A Near-Optimal Hierarchical Estimate Based Adaptive Finite Element Method for Obstacle Problems [Seite 334]
5.28.1 - 1 Introduction [Seite 334]
5.28.2 - 2 A Near-Optimal Hierarchical Error Estimate [Seite 335]
5.28.3 - 3 An Adaptive Finite Element Method [Seite 337]
5.28.4 - 4 Numerical Experiments [Seite 338]
5.28.5 - Bibliography [Seite 340]
5.29 - Efficient Parallel Preconditioners for High-Order Finite Element Discretizations of H(grad) and H(curl) Problems [Seite 342]
5.29.1 - 1 Introduction [Seite 342]
5.29.2 - 2 A Parallel Preconditioner for the H(grad) System [Seite 343]
5.29.2.1 - 2.1 A Parallel AMG Preconditioner [Seite 344]
5.29.2.2 - 2.2 Numerical Experiments [Seite 346]
5.29.3 - 3 A Parallel Preconditioner for the H(curl) Problem [Seite 347]
5.29.3.1 - 3.1 A Parallel Preconditioner for (5) [Seite 347]
5.29.3.2 - 3.2 Numerical Results [Seite 348]
5.29.4 - Bibliography [Seite 349]
6 - Part III Contributed Presentations [Seite 350]
6.1 - A Simple Uniformly Convergent Iterative Method for the Non-symmetric Incomplete Interior Penalty Discontinuous Galerkin Discretization [Seite 351]
6.1.1 - 1 Introduction [Seite 351]
6.1.2 - 2 Interior Penalty Discontinuous Galerkin Methods [Seite 352]
6.1.3 - 3 Space Decomposition [Seite 354]
6.1.3.1 - 3.1 Matrix Representation of the DG Bilinear Forms [Seite 355]
6.1.4 - 4 A Uniformly Convergent Iterative Method [Seite 356]
6.1.5 - 5 Numerical Results [Seite 356]
6.1.6 - Bibliography [Seite 358]
6.2 - A Study of Prolongation OperatorsBetween Non-nested Meshes [Seite 359]
6.2.1 - 1 Introduction [Seite 359]
6.2.2 - 2 Multilevel Preconditioners Based on Non-nested Meshes [Seite 360]
6.2.3 - 3 Looking for Suitable Prolongation Operators [Seite 362]
6.2.4 - 4 Numerical Results [Seite 364]
6.2.5 - Bibliography [Seite 366]
6.3 - A Parallel Schwarz Method for Multiple Scattering Problems [Seite 367]
6.3.1 - 1 Introduction [Seite 367]
6.3.2 - 2 Exterior Helmholtz Problem and Schwarz Method [Seite 368]
6.3.2.1 - 2.1 Domain Decomposition [Seite 368]
6.3.2.2 - 2.2 A Parallel Schwarz Method [Seite 368]
6.3.3 - 3 Multiple DtN Operator [Seite 369]
6.3.4 - 4 How to Solve Problem (2) [Seite 371]
6.3.5 - 5 Proof of Theorem 1 [Seite 371]
6.3.6 - 6 Concluding Remarks [Seite 373]
6.3.7 - Bibliography [Seite 374]
6.4 - Numerical Method for Antenna Radiation Problem by FDTD Method with PML [Seite 375]
6.4.1 - 1 FDTD Method and PML [Seite 375]
6.4.2 - 2 Basic Formulation of Antenna Problem [Seite 377]
6.4.3 - 3 Application to MRI Problem [Seite 379]
6.4.4 - 4 Summary and Future Problems [Seite 380]
6.4.5 - Bibliography [Seite 381]
6.5 - On Domain Decomposition Algorithms for Contact Problems with Tresca Friction [Seite 382]
6.5.1 - 1 Introduction [Seite 382]
6.5.2 - 2 Contact Problems with Tresca Friction [Seite 382]
6.5.3 - 3 Algorithms and the Implementation [Seite 383]
6.5.4 - 4 Numerical Experiments [Seite 386]
6.5.5 - 5 Conclusions and Comments [Seite 388]
6.5.6 - Bibliography [Seite 388]
6.6 - Numerical Solution of Linear Elliptic Problems with Robin Boundary Conditions by a Least-Squares/Fictitious Domain Method [Seite 390]
6.6.1 - 1 Introduction [Seite 390]
6.6.2 - 2 Formulation of the Boundary Value Problem [Seite 390]
6.6.3 - 3 A Least-Squares/Fictitious Domain Method for the Solution of Problem (1), (2) [Seite 391]
6.6.3.1 - 3.1 A Fictitious Domain Formulation of Problem (1), (2) [Seite 391]
6.6.3.2 - 3.2 A Least-Squares Formulation of Problem (7) [Seite 392]
6.6.4 - 4 On the Conjugate Gradient Solution of the Least-Squares Problem (8) [Seite 392]
6.6.5 - 5 On the Finite Element Implementation of the Least-Squares/ Fictitious Domain Methodology [Seite 394]
6.6.5.1 - 5.1 Generalities [Seite 394]
6.6.5.2 - 5.2 Finite Element Approximation of the Least-Squares Problem (8) [Seite 394]
6.6.6 - 6 Numerical Experiments [Seite 395]
6.6.7 - Bibliography [Seite 397]
6.7 - An Uzawa Domain Decomposition Method for Stokes Problem [Seite 398]
6.7.1 - 1 Introduction [Seite 398]
6.7.2 - 2 Model Problem [Seite 398]
6.7.3 - 3 Uzawa Domain Decomposition for Stokes Problem [Seite 399]
6.7.3.1 - 3.1 Lagrangian Formulation and Dual Problem [Seite 400]
6.7.3.2 - 3.2 Sensitivity Analysis [Seite 401]
6.7.3.3 - 3.3 Uzawa Conjugate Gradient Domain Decomposition Algorithm [Seite 402]
6.7.4 - 4 Numerical Experiments [Seite 403]
6.7.5 - 5 Conclusion [Seite 405]
6.7.6 - Bibliography [Seite 405]
6.8 - A Domain Decomposition Method Combining a Boundary Element Method with a Meshless Local Petrov-Galerkin Method [Seite 406]
6.8.1 - 1 Introduction [Seite 406]
6.8.2 - 2 A DDM Combining BEM with the MLPG Method [Seite 407]
6.8.3 - 3 A Dynamic Relaxation Parameter [Seite 410]
6.8.4 - 4 Numerical Examples [Seite 410]
6.8.5 - 5 Conclusions [Seite 412]
6.8.6 - Bibliography [Seite 412]
6.9 - A Domain Decomposition Method Based on Augmented Lagrangian with a Penalty Term in Three Dimensions [Seite 414]
6.9.1 - 1 Introduction [Seite 414]
6.9.2 - 2 Dual Iterative Substructuring with a Penalty Term [Seite 415]
6.9.3 - 3 Estimate of Condition Number [Seite 418]
6.9.4 - 4 Computational Issues [Seite 419]
6.9.5 - Bibliography [Seite 421]
6.10 - Spectral Element Agglomerate Algebraic Multigrid Methods for Elliptic Problems with High-Contrast Coefficients [Seite 422]
6.10.1 - 1 Summary [Seite 422]
6.10.2 - 2 Introduction [Seite 422]
6.10.3 - 3 Notation and Building Tools [Seite 423]
6.10.4 - 4 Multigrid Method [Seite 426]
6.10.5 - 5 Multilevel Additive Preconditioner (BPX) [Seite 426]
6.10.6 - 6 Condition Number Bounds [Seite 427]
6.10.7 - 7 Numerical Experiments [Seite 427]
6.10.8 - Bibliography [Seite 429]
6.11 - A FETI-DP Formation for the Stokes Problem Without Primal Pressure Components [Seite 430]
6.11.1 - 1 Introduction [Seite 430]
6.11.2 - 2 FETI-DP Formulation [Seite 431]
6.11.2.1 - 2.1 Model Problem [Seite 431]
6.11.2.2 - 2.2 FETI-DP Formulation Without Primal Pressure Components [Seite 432]
6.11.3 - 3 Analysis of a Bound of Condition Number [Seite 435]
6.11.3.1 - 3.1 Lower Bound [Seite 435]
6.11.3.2 - 3.2 Upper Bound [Seite 436]
6.11.4 - Bibliography [Seite 437]
6.12 - Schwarz Waveform Relaxation Methods for Systems of Semi-Linear Reaction-Diffusion Equations [Seite 438]
6.12.1 - 1 Introduction [Seite 438]
6.12.2 - 2 Systems of Semi-linear Reaction Diffusion Equations [Seite 439]
6.12.3 - 3 Schwarz Waveform Relaxation Algorithm [Seite 440]
6.12.4 - 4 Numerical Results [Seite 442]
6.12.4.1 - 4.1 Belousov-Zhabotinsky Equations [Seite 442]
6.12.4.2 - 4.2 FitzHugh-Nagumo Equations [Seite 443]
6.12.4.3 - 4.3 Lotka-Volterra Equations [Seite 443]
6.12.5 - 5 Conclusions [Seite 445]
6.12.6 - Bibliography [Seite 445]
6.13 - A Sparse QS-Decomposition for Large Sparse Linear System of Equations [Seite 446]
6.13.1 - 1 Introduction [Seite 446]
6.13.2 - 2 A Quasi-Orthogonal Vector Sequence [Seite 447]
6.13.3 - 3 Layered Group Orthogonalization [Seite 448]
6.13.3.1 - 3.1 Algorithm (LGO) [Seite 448]
6.13.3.2 - 3.2 Matrix representation of LGO [Seite 449]
6.13.4 - 4 LGO Solver and Numerical Experiments [Seite 449]
6.13.5 - 5 A Nested Direct Domain Decomposition Idea [Seite 451]
6.13.6 - Bibliography [Seite 453]
6.14 - Is Additive Schwarz with Harmonic Extension Just Lions' Method in Disguise? [Seite 454]
6.14.1 - 1 The Methods of Lions, AS, RAS and ASH [Seite 454]
6.14.2 - 2 Assumptions and the Main Result [Seite 456]
6.14.3 - 3 Proof of the Main Result [Seite 457]
6.14.4 - 4 Convergence Rate [Seite 459]
6.14.5 - 5 Conclusions [Seite 461]
6.14.6 - Bibliography [Seite 461]
6.15 - Domain Decomposition Methods for a Complementarity Problem [Seite 462]
6.15.1 - 1 Introduction [Seite 462]
6.15.2 - 2 Semismooth Function Approaches for Complementarity Problems [Seite 463]
6.15.2.1 - 2.1 Semismooth Newton Methods [Seite 463]
6.15.2.2 - 2.2 Schwarz Preconditioner [Seite 465]
6.15.3 - 3 Numerical Experiments [Seite 465]
6.15.3.1 - 3.1 One-Level Results [Seite 466]
6.15.3.2 - 3.2 Two-Level Results [Seite 466]
6.15.4 - 4 Some Final Remarks [Seite 467]
6.15.5 - Bibliography [Seite 469]
6.16 - A Posteriori Error Estimates for Semilinear Boundary Control Problems [Seite 470]
6.16.1 - 1 Introduction [Seite 470]
6.16.2 - 2 Finite Elements for Boundary Control Problems [Seite 471]
6.16.3 - 3 A Posteriori Error Estimates [Seite 473]
6.16.4 - Bibliography [Seite 477]
6.17 - Lecture Notes in Computational Science and Engineering [Seite 480]
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