Large-Scale Scientific Computing (eBook, PDF)
13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised Selected Papers
Redaktion: Lirkov, Ivan; Margenov, Svetozar
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Alle Infos zum eBook verschenken
Large-Scale Scientific Computing (eBook, PDF)
13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised Selected Papers
Redaktion: Lirkov, Ivan; Margenov, Svetozar
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This book constitutes revised selected papers from the 13th International Conference on Large-Scale Scientific Computing, LSSC 23021, which was held in Sozopol, Bulgaria, during June 7-11, 2021. The 60 papers included in this book were carefully reviewed and selected from a total of 73 submissions. The volume also includes two invited talks in full paper length. The papers were organized in topical sections as follows: Fractional diffusion problems: numerical methods, algorithms and applications; large-scale models: numerical methods, parallel computations and applications; application of…mehr
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- Large-Scale Scientific Computations (eBook, PDF)60,95 €
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Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: Springer Nature Switzerland
- Seitenzahl: 554
- Erscheinungstermin: 17. März 2022
- Englisch
- ISBN-13: 9783030975494
- Artikelnr.: 63617696
- Verlag: Springer Nature Switzerland
- Seitenzahl: 554
- Erscheinungstermin: 17. März 2022
- Englisch
- ISBN-13: 9783030975494
- Artikelnr.: 63617696
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
a New Java Package for Meta-heuristic Searches.- Synergy between Convergence and Divergence - Review of Concepts and Methods.- Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems.- Intuitionistic Fuzzy Approach for Outsourcing Provider Selection in a Refinery.- Quantitative Relationship Between Particulate Matter and Morbidity.- Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations.- Decoupling Methods for Systems of Parabolic Equations.- Optimal Control of ODEs, PDEs and Applications.- Random Lifting of Set-valued Maps.- Höolder Regularity in Bang-Bang Type Affine Optimal Control Problems.- Simultaneous Space-time Finite Element Methods for Parabolic Optimal Control Problems.- A New Algorithm for the LQR Problem with Partially Unknown Dynamics.- Tensor and Matrix Factorization for Big-Data Analysis.- Solving Systems of Polynomial Equations - a Tensor Approach.- Nonnegative Tensor-train Low-rank Approximations of the Smoluchowski Coagulation Equation.- Boolean Hierarchical Tucker Networks on Quantum Annealers.- Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.- Machine Learning and Model Order Reduction for Large Scale Predictive Simulations.- Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems.- A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows.- A Multiscale Fatigue Model for the Degradation of Fiber-reinforced Materials.- A Classification Algorithm for Anomaly Detection in Terahertz Tomography.- Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue.- Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.- HPC and Big Data: Algorithms and Applications.- On the Use of Low-discrepancy Sequences in the Training of Neural Networks.- A PGAS-based Implementation for the Parallel Minimum Spanning Tree Algorithm.- Comparison of Di_erent Methods for Multiple Imputation by Chain Equation.- Monte Carlo Method for Estimating Eigenvalues Using Error Balancing.- Multi-Lingual Emotion Classification Using Convolutional Neural Networks.- On Parallel MLMC for Stationary Single Phase Flow Problem.- Numerical Parameter Estimates of Beta-uniform Mixture Models.- Large-Scale Computer Simulation of the Performance of the Generalized Nets Model of the LPF-algorithm.- Contributed Papers.- A New Error Estimate for a Primal-Dual Crank-Nicolson Mixed Finite Element Using Lowest Degree Raviart-Thomas Spaces for Parabolic Equations.- A Finite Volume Scheme for a Wave Equation with Several Time Independent Delays.- Recovering the Time-Dependent Volatility in Jump-Diffusion Models from Nonlocal Price Observations.- On the Solution of Contact Problems with Tresca Friction by the Semismooth* Newton Method.- Fitted Finite Volume Method for Unsaturated Flow Parabolic Problems with Space Degeneration.- Minimization of p-Laplacian via the Finite Element Method in MATLAB.- Quality Optimizationof Seismic-derived Surface Meshes of Geological Bodies.
a New Java Package for Meta-heuristic Searches.- Synergy between Convergence and Divergence - Review of Concepts and Methods.- Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems.- Intuitionistic Fuzzy Approach for Outsourcing Provider Selection in a Refinery.- Quantitative Relationship Between Particulate Matter and Morbidity.- Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations.- Decoupling Methods for Systems of Parabolic Equations.- Optimal Control of ODEs, PDEs and Applications.- Random Lifting of Set-valued Maps.- Höolder Regularity in Bang-Bang Type Affine Optimal Control Problems.- Simultaneous Space-time Finite Element Methods for Parabolic Optimal Control Problems.- A New Algorithm for the LQR Problem with Partially Unknown Dynamics.- Tensor and Matrix Factorization for Big-Data Analysis.- Solving Systems of Polynomial Equations - a Tensor Approach.- Nonnegative Tensor-train Low-rank Approximations of the Smoluchowski Coagulation Equation.- Boolean Hierarchical Tucker Networks on Quantum Annealers.- Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.- Machine Learning and Model Order Reduction for Large Scale Predictive Simulations.- Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems.- A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows.- A Multiscale Fatigue Model for the Degradation of Fiber-reinforced Materials.- A Classification Algorithm for Anomaly Detection in Terahertz Tomography.- Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue.- Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.- HPC and Big Data: Algorithms and Applications.- On the Use of Low-discrepancy Sequences in the Training of Neural Networks.- A PGAS-based Implementation for the Parallel Minimum Spanning Tree Algorithm.- Comparison of Di_erent Methods for Multiple Imputation by Chain Equation.- Monte Carlo Method for Estimating Eigenvalues Using Error Balancing.- Multi-Lingual Emotion Classification Using Convolutional Neural Networks.- On Parallel MLMC for Stationary Single Phase Flow Problem.- Numerical Parameter Estimates of Beta-uniform Mixture Models.- Large-Scale Computer Simulation of the Performance of the Generalized Nets Model of the LPF-algorithm.- Contributed Papers.- A New Error Estimate for a Primal-Dual Crank-Nicolson Mixed Finite Element Using Lowest Degree Raviart-Thomas Spaces for Parabolic Equations.- A Finite Volume Scheme for a Wave Equation with Several Time Independent Delays.- Recovering the Time-Dependent Volatility in Jump-Diffusion Models from Nonlocal Price Observations.- On the Solution of Contact Problems with Tresca Friction by the Semismooth* Newton Method.- Fitted Finite Volume Method for Unsaturated Flow Parabolic Problems with Space Degeneration.- Minimization of p-Laplacian via the Finite Element Method in MATLAB.- Quality Optimizationof Seismic-derived Surface Meshes of Geological Bodies.
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