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  • 1
    Online-Ressource
    Online-Ressource
    Cham :Springer International Publishing AG,
    Schlagwort(e): Science-Data processing. ; Computer science-Mathematics. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (371 pages)
    Ausgabe: 1st ed.
    ISBN: 9783319624587
    DDC: 502.85 23
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Contents -- Part I Methods -- Calculation of Chemical Equilibria in Multi-Phase: Multicomponent Systems -- 1 Introduction -- 2 Problem Formulation -- 2.1 Non-Ideal Gibbs Function -- 2.2 Stoichiometric Constraints -- 2.3 The Optimization Problem -- 3 Methodology for the Calculation of Chemical Equilibria -- 3.1 Reformulation of the Minimization Problem -- 3.2 Discretization of the H-Problem -- 3.3 Corrector Step -- 4 Automated Detection of Miscibility Gaps -- 5 Results -- 5.1 Gibbs Free Energy Minimization Using BePhaSys -- 5.2 Calculation of Two-Dimensional Phase Diagrams: Interpolation and Parallelization -- Appendix: The Gibbs Free Energy Function -- References -- LC-GAP: Localized Coulomb Descriptors for the Gaussian Approximation Potential -- 1 Introduction -- 2 Potential Energy Prediction Through Machine Learning -- 2.1 The GAP Framework and Gaussian Process Regression -- 2.2 Localized Coulomb Matrix Descriptors -- 3 Results -- 3.1 Comparison of Descriptor Functions on QM7 -- 3.2 Larger Datasets and Prediction of Multiple Properties -- 3.3 Distribution of Individual Atomic Contributions -- 4 Conclusions and Future Work -- References -- River Bed Morphodynamics: Metamodeling, Reliability Analysis, and Visualization in a Virtual Environment -- 1 Introduction -- 2 RBF Metamodel -- 3 Quantile Estimation -- 3.1 Sensitivity-Based Approach -- 3.1.1 First-Order Approximation -- 3.1.2 Second-Order Approximation -- 3.2 Monte Carlo -- 3.3 Weighted Monte Carlo -- 3.4 Quasi-Monte Carlo (QMC) -- 3.5 Quasi-Random Splines (QRS) -- 4 Numerical Tests -- 5 Visualization in Virtual Environment -- 6 Conclusion -- References -- Cooling Circuit Simulation I: Modeling -- 1 Introduction -- 2 Network -- 3 Water Pipes -- 3.1 Continuum Mechanics -- 3.2 Simplifying Assumptions -- 3.3 Discretization and Regularization -- 4 Further Devices. , 4.1 Resistors and Valves -- 4.2 Pumps -- 4.3 Heat Exchangers -- 5 Element Control -- 6 Conclusion -- References -- Part II Products -- Algebraic Multigrid: From Academia to Industry -- 1 Introduction -- 2 From Geometric to Algebraic Multigrid -- 3 The Early Phase of Algebraic Multigrid (1982-1987) -- 3.1 The First Documented AMG Application -- 3.2 The Basics of `Classical' AMG -- 4 The Renaissance of AMG (1995-2000) -- 4.1 Resumption of Major Research on AMG -- 4.2 Towards Industry -- 4.2.1 Computational Fluid Dynamics -- 4.2.2 Streamline Approach in Oil Reservoir Simulation -- 5 The Main AMG Development Phase (2000-Today) -- 5.1 The General Trend -- 5.2 Bridging the Gap -- 5.3 SAMG for Coupled PDE Systems -- 5.3.1 Unknown-Based Approach -- 5.3.2 Point-Based Approach -- 5.3.3 Status of the Solver Framework SAMG -- 6 Industry-Driven Applications -- 6.1 Semiconductor Applications -- 6.2 Multi-Ion Transport and Reaction -- 6.3 Oil Reservoir Simulation -- 6.3.1 The Reservoir Simulation Models -- 6.3.2 Fully Implicit Methods -- 7 Summary, Conclusions and Lessons Learned -- References -- Parallel Algebraic Multigrid -- 1 Introduction -- 2 Challenges Imposed by Parallel Computer Architectures -- 2.1 Single Core Performance: CPU Clock Speed and Memory Frequency -- 2.2 Multi-Core CPUs and Shared Memory Parallelism -- 2.2.1 Multi-Core and Memory Access -- 2.2.2 Intrinsically Serial Components -- 2.2.3 Race Conditions -- 2.2.4 Multiple Sockets -- 2.3 Distributed Memory Parallelism -- 3 How SAMG Counters the HPC Challenges -- 3.1 Tuning and Parallelization of Smoothing -- 3.2 Ruge-Stüben Coarsening -- 3.3 Coarse Grid Solution -- 4 SCAI's Parallel SAMG Solver Library -- References -- MpCCI: Neutral Interfaces for Multiphysics Simulations -- 1 Introduction -- 2 MpCCI CouplingEnvironment -- 2.1 Aero-Elasticity and Fluid-Structure-Interaction. , 2.1.1 Wing and Spoiler Design -- 2.1.2 Hydraulic Pump Layout -- 2.2 Thermal and Vibration Loads in Turbomachinery -- 2.2.1 Thermal Loads on Ceramic Impeller -- 2.2.2 Life-Time Estimation of Turbine Blades -- 2.3 Vehicle Dynamics and Nonlinear Component Behavior -- 2.3.1 Driving Over Obstacles -- 2.3.2 Wading Simulation for Off-Road Vehicles -- 2.4 Automotive Thermal Management -- 2.4.1 Automotive Thermal Management for Full Vehicles -- 2.4.2 Automotive Thermal Management for Vehicle Manifolds -- 2.5 Component Design in Electrical Engineering -- 2.5.1 Cooling of a 3-Phase Transformer -- 2.5.2 Electric Arc in Switching Devices -- 3 MpCCI FSIMapper -- 4 MpCCI Mapper Solution for Integrated Simulation Workflows -- 4.1 Passive Safety -- 4.2 Forming Tools and Material Properties -- 4.2.1 Lightweight Stamping Tools: Use Forming Loads in Structural Optimization -- 4.2.2 Validation of Material Model Parameters: Compare Forming Results and Experimental Data -- 4.3 Composite Structures and Plastic Components -- 4.3.1 CFRP Workflows: From Draping via Mulling and Curing to Structural Analysis -- 4.3.2 Structural Integrity of Blow Moulded Plastic Components -- 5 Conclusion -- References -- Cooling Circuit Simulation II: A Numerical Example -- 1 Introduction -- 2 Application -- 2.1 Cooling System -- 2.2 Circuit Basics and Example -- 3 Concept and Software -- 3.1 Framework and Components -- 3.2 Semi-Automatic Model Creation with Schemparser -- 3.3 Device Modeling and Sensor Mapping -- 3.4 Collection of Measurement Data with PowerDAM -- 3.5 Nonlinear Problem Setup and Solution with MYNTS -- 4 Numerical Tests -- 4.1 Simplified Heat Exchanger -- 4.2 Logarithmic Mean Temperature Difference -- 5 Conclusion -- References -- The LAMA Approach for Writing Portable Applications on Heterogenous Architectures -- 1 Introduction -- 2 LAMA -- 2.1 Heterogeneous Memory. , 2.2 Heterogeneous Kernel -- 2.3 Task Parallelism -- 2.4 Distributed Memory Support -- 2.5 Matrices and Vectors -- 2.6 Solver Framework -- 2.7 Extensibility and Maintainability -- 3 Performance Comparison -- 4 Summary -- Appendix -- Test Environment -- Test Matrices -- References -- ModelCompare -- 1 Introduction -- 2 Development History -- 3 Capabilities -- 3.1 Detection of Geometry Changes -- 3.2 Detection of MultiParts -- 3.3 Spotwelds and Rigid Body Elements -- 3.4 Detection of Material-ID and Thickness Changes -- 4 Outlook -- References -- Rapid Enriched Simulation Application Development with PUMA -- 1 Introduction -- 2 Partition of Unity Methods -- 3 PUMA Framework Design -- 4 Application Examples -- 5 Concluding Remarks -- References -- Part III Applications and Show Cases -- Applying CFD for the Design of an Air-Liquid Interface In-Vitro Testing Method for Inhalable Compounds -- 1 Introduction -- 2 In-Vitro Air-Liquid Interface -- 3 Simulating the Aerosol Conduction System -- 4 Simulating the Liquid Supply System -- 4.1 Clogging in Liquid Channels -- 5 Simulating an Aerosol Sampling Box -- 6 Conclusions -- References -- A Mapping Procedure for the Computation of Flow-Induced Vibrations in Turbomachinery -- 1 Introduction -- 2 Nonlinear Harmonic Method -- 3 Mapping of Pressure Excitations -- 3.1 Periodic Models and Nodal Diameters -- 3.2 Deriving Excitation and Responding Shape -- 3.3 Summary -- 4 Application Example -- 4.1 Harmonic CFD Simulation -- 4.2 Mapping -- 4.3 Harmonic Structural Analysis -- 5 Conclusion -- References -- Molecular Dynamics Simulation of Membrane Free Energy Profiles Using Accurate Force Field for Ionic Liquids -- 1 Introduction -- 2 Computational Methods -- 2.1 Simulation Details -- 2.1.1 Technical Details -- 2.1.2 Force Field Development for [C2MIM][EtSO4] -- 2.2 Umbrella Sampling -- 3 Results and Discussion. , 3.1 Force Field Development for [C2MIM][EtSO4] -- 3.1.1 Density -- 3.1.2 Self-Diffusion Coefficients -- 3.1.3 Heat of Vaporization -- 3.1.4 Shear Viscosity -- 3.2 Free Energy Profiles -- 4 Outlook and Conclusion -- 4.1 Outlook: Towards Fully Automated Force Field Development -- 4.1.1 Case Study: Automated Parameterization of Ethylene Oxide -- 4.2 Conclusion -- References -- The cloud4health Project: Secondary Use of Clinical Data with Secure Cloud-Based Text Mining Services -- 1 Introduction -- 2 Developing a Secure Cloud-Solution for Medicine -- 2.1 Existing Cloud Solutions for Medicine -- 2.2 Requirements for Cloud Infrastructures Arising from Patient Data Processing -- 2.3 Security Mechanisms -- 2.4 Secure Cloud Infrastructure -- 2.4.1 Secure Clinical Gateway to the Cloud -- 2.4.2 Data Processing Flow -- 2.4.3 End-to-End Encryption -- 2.4.4 Multi-Tenancy and No Data Persistence -- 3 Clinical Text Mining Solutions -- 3.1 Short Literature Overview -- 3.2 General Architecture of the Text Mining Services -- 3.3 Overview Use Cases -- 3.3.1 General Use Case Process Model -- 3.4 Mining Endoprosthetic Surgery Reports -- 3.5 Mining Pathology Reports -- 4 Discussion -- References -- Dimensionality Reduction for the Analysis of Time Series Data from Wind Turbines -- 1 Introduction -- 2 Time Series Characteristics in Wind Energy -- 2.1 Numerical Simulations of Wind Turbines -- 2.2 Condition Monitoring of Wind Turbines -- 3 Exploration of Time Series Data from Numerical Simulations -- 3.1 Virtual Sensor Data from Wind Turbine Simulations -- 3.2 Nonlinear Dimensionality Reduction for Time Series Analysis -- 3.3 Diffusion Maps -- 3.4 Numerical Results -- 4 Anomaly Detection Based on Linear Dimensionality Reduction for Condition Monitoring Sensor Data from Wind Turbines -- 4.1 Sensor Data from Rotor Blades -- 4.1.1 Pre-processing. , 4.2 Anomaly Detection in Sensor Data.
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  • 2
    Online-Ressource
    Online-Ressource
    Cham :Springer International Publishing AG,
    Schlagwort(e): Computer science -- Mathematics. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (432 pages)
    Ausgabe: 1st ed.
    ISBN: 9783319007861
    DDC: 500.2
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Contents -- Part I Scaling Limits of Diffusion Processes and Singular Spaces -- Ricci Bounds for Euclidean and Spherical Cones -- 1 Introduction -- 1.1 Statement of the Main Results -- 1.2 Basic Definitions and Notations -- 1.3 The Curvature-Dimension Condition -- 2 Euclidean Cones over Metric Measure Spaces -- 3 Spherical Cones over Metric Measure Spaces -- References -- A Monotone Approximation to the Wasserstein Diffusion -- 1 Introduction and Statement of the Main Results -- 2 Dirichlet-Ferguson Process, Entropic Measure and Wasserstein Diffusion -- 2.1 The Dirichlet-Ferguson Process -- 2.2 The Dirichlet Form on G -- 2.3 The Dirichlet Form on the Wasserstein Space -- 3 The Distribution of Random Means -- 4 The Measure mkβ in the Multivariate Case -- 5 Projections, Isomorphisms, Approximations -- 5.1 Finite Dimensional Projections -- 5.2 Monotone Convergence -- 5.3 Isomorphisms I -- 5.4 Standard Approximations -- 5.5 Isomorphisms II -- 5.6 Isomorphisms III -- 6 Convergence -- 6.1 Convergence of Finite Dimensional Distributions -- 6.2 Convergence of Processes -- 6.3 Final Remarks -- References -- Adapted Function Spaces for Dispersive Equations -- 1 Introduction -- 2 The Bounded p Variation -- 2.1 Step Functions and Ruled Functions -- 2.2 The Spaces Vp and Up -- 2.3 Embeddings -- 3 Dispersive Equations -- 3.1 Adapted Function Spaces -- 3.2 The Generalized KdV Equation -- 3.3 The Kadomtsev-Petviashvili II Equation -- 3.4 The Energy Critical Nonlinear Schrrödinger Equation on Compact Manifolds -- References -- A Note on Metastable Behaviour in the Zero-Range Process -- 1 Introduction -- 1.1 The Model and Basic Properties -- 2 Metastability -- 2.1 Definitions and Results -- 3 Results for the Zero-Range Process -- 4 Proofs of the Results -- 4.1 Capacity -- 4.1.1 Lower Bound -- 4.1.2 Upper Bound -- 4.2 Proofs of Theorems 3 and 4. , 4.3 Metastability of the Zero-Range Process -- References -- Convergence of the Two-Point Function of the Stationary TASEP -- 1 Introduction and Result -- 2 Setting and Strategy of the Proof -- 3 Proof of Proposition 1: Upper Tail -- 3.1 Asymptotics for -- 3.2 Evaluation of g1 -- 3.3 Estimations on g2 and g3 -- 4 Proof of Proposition 2: Lower Tail -- 5 Proof of Corollary 2 -- References -- Part II Multiple Scales in Mathematical Models of Materials Science and Biology -- Vortex Motion for the Landau-Lifshitz-Gilbert Equation with Applied Magnetic Field -- 1 Introduction -- 2 Jacobian, Vorticity and Renormalized Energy -- 2.1 Compactness -- 2.2 The Renormalized Energy -- 2.3 The Thiele Equation -- 3 LLG Equation with External Fields -- 3.1 Conservation Laws -- 3.2 Weak Solutions and Bubbling -- 4 Convergence and Vortex Trajectories -- 5 Motion Law -- References -- On Prandtl-Reuss Mixtures -- 1 Introduction -- 2 Mathematical Formulation of the Problem -- 2.1 Basic Setting -- 2.2 Balance of Linear Momentum -- 2.3 Elasticity -- 2.4 The Variational Inequality for Elastic-Perfect-Plastic Mixtures -- 3 The Penalty Equation -- 3.1 Reconstruction of Partial Strains -- 4 The Rothe Approximation -- 4.1 Definition and Solvability of the Rothe Approximation -- 4.2 First Estimates for the Rothe Approximation -- 5 Estimates for the Rothe Approximation -- 6 Convergence of the Rothe Method -- 7 L∞(L2)-Estimate for the Time Derivatives of the Stresses -- 8 Passage to the Limit as the Penalty Parameter μ Tends to Zero -- 9 A Model for the Volume Fraction α and the Yield Parameter Depending on the History of the Rate of the Plastic Strain of the Soft Material -- References -- Modeling and Simulation of Lipid Monolayers as Surfactant in Lung Alveoli -- 1 Biological Function of Surfactant Lipids for the Breathing Cycle -- 2 Microscale Stochastic Multi-particle Model. , 3 Mesoscale Continuum Mixture Model -- 4 Sharp Phase Transition Approximation -- 4.1 Case of Dissolving Ordered Monolayer: λ> -- 0 -- 4.2 Case of Growing Ordered Monolayer: λ< -- 0 -- 4.3 Simulation Results -- 5 One-Dimensional Simulation of the Continuum Phase Field Model -- 5.1 Smoothed Phase Separation in a Fixed Interval -- 5.2 Phase Separation Behavior in an Oscillating Domain Simulating ``Breathing'' -- 6 Conclusions -- References -- Fluid Mixtures and Applications to Biological Systems -- 1 Introduction -- 2 Fluid Mixtures -- 3 Exploiting the Free Energy Inequality -- 4 Remark on Pressure -- 5 Examples -- 6 Handling Gradient Terms -- 7 Polymerization of Actin Filaments -- 8 The Quasistatic Problem -- 9 Fractional Densities -- 10 Diffusion Limit -- 11 Polymer Mixtures Including Gradients -- 12 Conclusion -- References -- A Nested Variational Time Discretization for Parametric Anisotropic Willmore Flow -- 1 Introduction -- 2 Review of the Time Discretization of Isotropic Willmore Flow -- 3 Nested Time Discretization for Anisotropic Willmore Flow -- 4 Finite Element Discretization in Space -- 5 Optimization Algorithm for the Time Steps -- 6 Numerical Results -- References -- Energy Scaling and Domain Branching in Solid-Solid PhaseTransitions -- 1 Introduction -- 2 Upper Bounds -- 2.1 The Case of Two Rank-One Connections -- 2.2 The Case of One Rank-One Connection -- 3 Lower Bound -- 3.1 The Case of Two Rank-One Connections -- 3.2 The Case of One Rank-One Connection -- 4 Outlook -- References -- Part III Numerics for Multiscale Models and Singular Phenomena -- On a Multilevel Preconditioner and its Condition Numbersfor the Discretized Laplacian on Full and Sparse Grids in HigherDimensions -- 1 Introduction -- 2 Discretization -- 2.1 Discretization by an Isotropic Full-Grid -- 2.2 The Multilevel Approach. , 2.3 A Norm Equivalence Based on Orthogonal Subspaces -- 3 A Dimension-Independent Full Grid Preconditioner -- 3.1 Orthogonalization Operator -- 3.2 Preconditioner -- 3.3 Cost Discussion for the New Preconditioner -- 4 Sparse Grids -- 4.1 Definition -- 4.2 Sparse Grid Submatrix and Preconditioner -- 4.3 Cost Discussion -- 5 Prewavelets -- 5.1 Preconditioner -- 5.2 Cost Discussion -- 6 Numerical Experiments -- 7 Concluding Remarks -- References -- Simulation of Droplet Impact with Dynamic Contact Angle Boundary Conditions -- 1 Introduction -- 2 The Moving Contact Line Problem -- 2.1 Modeling Issues -- 2.2 Numerical Issues -- 3 Mathematical Model -- 3.1 The Navier-Stokes Solver -- 3.2 The Contact Angle as a Boundary Condition -- 3.3 The Dynamic Contact Angle Model by Yokoi et al. (C1) -- 3.4 The Dynamic Contact Angle Model by Shikhmurzaev (C2) -- 4 The Numerical Method -- 4.1 Discretization of the Navier-Stokes Equations and the Level-Set Method -- 4.2 Discretization of the Contact Angle Boundary Condition -- 4.3 Implementation of the Contact Angle Models -- 4.4 Methods for Mass Conservation -- 5 Numerical Results -- 5.1 The Contact Angle Model by Yokoi -- 5.2 The Contact Angle Model by Shikhmurzaev -- 5.3 Mass Conservation -- 6 Conclusion -- References -- A Parallel Multiscale Simulation Toolbox for Coupling Molecular Dynamics and Finite Elements -- 1 Introduction -- 1.1 Related Work -- 1.2 Article Contribution and Outline -- 2 Multiscale Simulation Method -- 2.1 Molecular Dynamics -- 2.2 Continuum Mechanics and Finite Elements -- 2.3 Coupling Method -- 2.3.1 Coupling with Overlap -- 2.3.2 Damping High Fluctuation Modes -- 2.3.3 Complete Algorithm -- 3 Multiscale Simulation Toolbox -- 3.1 Interface Design -- 3.1.1 Opaque Handles -- 3.1.2 Access Epochs -- 3.1.3 Piggybacking of Metadata -- 3.2 Description of the Maci Code -- 4 Parallelization Aspects. , 4.1 Challenges -- 4.2 Data Distribution in the Maci Code -- 4.3 Parallel Assembly -- 4.4 Runtime Support -- References -- A Moving Least Squares Approach to the Construction of Discontinuous Enrichment Functions -- 1 Introduction -- 2 Particle Data -- 3 The Moving Least Squares Method -- 4 Adjacency Based Modification -- 5 Proof of Concept -- 6 Concluding Remarks -- References -- Second Moment Analysis for Robin Boundary Value Problems on Random Domains -- 1 Introduction -- 2 Robin Boundary Value Problems on Random Domains -- 3 Variational Formulation -- 4 Solving Tensor Product Boundary Value Problems -- 4.1 An Abstract View on the Linearization Approach -- 4.2 Sparse Tensor Product Spaces -- 4.3 Sparse Multilevel Frames -- 4.4 Combination Technique -- 4.5 Low-Rank Approximation -- 5 Finite Element Discretization -- 5.1 Parametric Finite Elements -- 5.2 Galerkin Discretization -- 5.3 Implementation of the Combination Technique -- 5.4 Implementation of the Low-Rank Approximation -- 6 Numerical Results -- 6.1 Model Verification -- 6.2 A Correlation Kernel of Arbitrary Smoothness -- 6.3 A Correlation Kernel of Finite Smoothness -- 7 Concluding Remarks -- References -- Simulation of Q-Tensor Fields with Constant Orientational Order Parameter in the Theory of Uniaxial Nematic Liquid Crystals -- 1 Introduction and Derivation of the Mathematical Setting -- 2 Euler Lagrange Equations for ELdG and EOF -- 3 Discrete Setting -- 3.1 Monotonicity Estimates -- 3.2 Euler Lagrange Equation in the Discrete Setting -- 4 Iterative Algorithms -- 4.1 Fully Discrete Algorithm for Discrete Harmonic Director Fields -- 4.2 Fully Discrete Algorithm for Discrete Q Harmonic Tensor Fields -- 5 Analysis of the Algorithms and Q Harmonic Tensor Fields -- 5.1 Stability and Convergence of the Tensor Field Algorithm -- 5.2 Weak Compactness Result for Q Harmonic Tensor Fields. , 6 Numerical Experiments.
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  • 3
    Online-Ressource
    Online-Ressource
    Basel :Springer Basel AG,
    Schlagwort(e): Biopolymers -- Congresses. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (305 pages)
    Ausgabe: 1st ed.
    ISBN: 9783034880435
    Serie: Mathematics and Biosciences in Interaction Series
    Sprache: Englisch
    Anmerkung: Intro -- Copyright -- Table of Contents -- Preface -- Introduction -- Index.
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  • 4
    Digitale Medien
    Digitale Medien
    Springer
    Numerical algorithms 18 (1998), S. 209-232 
    ISSN: 1572-9265
    Schlagwort(e): multivariate numerical quadrature ; Smolyak’s construction ; sparse grids ; complexity ; curse of dimension ; 65C20 ; 65D30 ; 65D32 ; 65M99 ; 65R20 ; 65U05 ; 65Y20
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik , Mathematik
    Notizen: Abstract We present new and review existing algorithms for the numerical integration of multivariate functions defined over d-dimensional cubes using several variants of the sparse grid method first introduced by Smolyak [49]. In this approach, multivariate quadrature formulas are constructed using combinations of tensor products of suitable one-dimensional formulas. The computing cost is almost independent of the dimension of the problem if the function under consideration has bounded mixed derivatives. We suggest the usage of extended Gauss (Patterson) quadrature formulas as the one‐dimensional basis of the construction and show their superiority in comparison to previously used sparse grid approaches based on the trapezoidal, Clenshaw–Curtis and Gauss rules in several numerical experiments and applications. For the computation of path integrals further improvements can be obtained by combining generalized Smolyak quadrature with the Brownian bridge construction.
    Materialart: Digitale Medien
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