Scientific Computing and Algorithms in Industrial Simulations : Projects and Products of Fraunhofer SCAI /: Projects and Products of Fraunhofer SCAI. (2017)
- Record Type:
- Book
- Title:
- Scientific Computing and Algorithms in Industrial Simulations : Projects and Products of Fraunhofer SCAI /: Projects and Products of Fraunhofer SCAI. (2017)
- Main Title:
- Scientific Computing and Algorithms in Industrial Simulations : Projects and Products of Fraunhofer SCAI
- Further Information:
- Note: Edited by Michael Griebel, Anton Schüller, Marc Alexander Schweitzer.
- Editors:
- Griebel, Michael
Schüller, Anton
Schweitzer, Marc Alexander - Contents:
- 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 ParallelizationAppendix: 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 Contributions4 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; 5Preface; 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 ParallelizationAppendix: 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 Contributions4 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. 3.1 The First Documented AMG Application3.2 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. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2017
- Extent:
- 1 online resource (VIII, 376 pages), color illustrations
- Subjects:
- 502.85
004
Mathematics
Science -- Data processing
Computer science
Algorithms
Computer science -- Mathematics
Computer software
Numerical analysis
Mathematical models
SCIENCE -- General
Algorithms
Computer science
Computer science -- Mathematics
Computer software
Mathematical models
Mathematics
Numerical analysis
Science -- Data processing
Mathematics -- Number Systems
Computers -- Programming -- Algorithms
Computers -- Mathematical & Statistical Software
Mathematics -- Applied
Numerical analysis
Mathematical & statistical software
Mathematical modelling
Computers -- Computer Science
Maths for scientists
Mathematics
Computational Science and Engineering
Numerical Analysis
Algorithms
Mathematical Software
Mathematical Modeling and Industrial Mathematics
Electronic books
Electronic book - Languages:
- English
- ISBNs:
- 9783319624587
3319624571
9783319624570 - Related ISBNs:
- 331962458X
9783319624570 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.365917
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- 02_344.xml