Large-Scale Scientific Computing
13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7¿11, 2021, Revised Selected Papers
Herausgegeben:Lirkov, Ivan; Margenov, Svetozar
Large-Scale Scientific Computing
13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7¿11, 2021, Revised Selected Papers
Herausgegeben:Lirkov, Ivan; Margenov, Svetozar
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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
- Large-Scale Scientific Computations55,99 €
- Computer Algebra in Scientific Computing66,99 €
- Computational Sciences - Modelling, Computing and Soft Computing37,99 €
- Advances in Swarm Intelligence125,99 €
- Computer Algebra in Scientific Computing37,99 €
- Mathematical Optimization Theory and Operations Research37,99 €
- Finite Difference Methods. Theory and Applications38,99 €
-
-
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 metaheuristics to large-scale problems; advanced discretizations and solvers for coupled systems of partial differential equations; optimal control of ODEs, PDEs and applications; tensor and matrix factorization for big-data analysis; machine learning and model order reduction for large scale predictive simulations; HPC and big data: algorithms and applications; and contributed papers.
- Produktdetails
- Lecture Notes in Computer Science 13127
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-97548-7
- 1st ed. 2022
- Seitenzahl: 572
- Erscheinungstermin: 18. März 2022
- Englisch
- Abmessung: 235mm x 155mm x 31mm
- Gewicht: 855g
- ISBN-13: 9783030975487
- ISBN-10: 3030975487
- Artikelnr.: 63354292
- Lecture Notes in Computer Science 13127
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-030-97548-7
- 1st ed. 2022
- Seitenzahl: 572
- Erscheinungstermin: 18. März 2022
- Englisch
- Abmessung: 235mm x 155mm x 31mm
- Gewicht: 855g
- ISBN-13: 9783030975487
- ISBN-10: 3030975487
- Artikelnr.: 63354292
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.