Large-Scale Scientific Computations
Springer International Publishing (Verlag)
978-3-031-56207-5 (ISBN)
The 49 full papers included in this book were carefully reviewed and selected from 61 submissions. They were organized in topical sections as follows: preconditioning and multilevel methods; fractures and mixed dimensional modeling: discretizations, solvers, and methodology; machine learning and model order reduction for large scale predictive simulations; fractional differential problems: theoretical aspects, algorithms and applications; variational analysis and optimal control; stochastic optimal control and numerical methods in economics and finance; tensor methods for big data analytics and low-rank approximations of PDEs solutions; applications of metaheuristics to large-scale problems; large-scale models: numerical methods, parallel computations and applications; HPC and HPDA: algorithms and applications.
Invited Papers.- An Implementation of a Coarse-fine Mesh Stabilized Schwarz Method for a Three-space Dimensional PDE-problem.- Mixed Finite Element Methods for the Navier-Stokes-Biot Model.- Preconditioning and Multilevel Methods.- Numerical Comparison of Block Preconditioners for Poroelasticity.- Two-dimensional Semi-linear Riesz Space Fractional Diffusion Equations in Convex Domains: GLT Spectral Analysis and Multigrid Solvers.- Continuation Newton Methods with Applications to Plasticity.- Fractures and Mixed Dimensional Modeling: Discretizations, Solvers, and Methodology.- Mixed and Nitsche's Discretizations of Frictional Contact-mechanics in Fractured Porous Media.- Machine Learning and Model Order Reduction for Large Scale Predictive Simulations.- Towards Efficient SOT-assisted STT-MRAM Cell Switching Using Reinforcement Learning.- Machine Learning Algorithms for Parameter Identification for Reactive Flow in Porous Media.- Randomized Symplectic Model Order Reduction for Hamiltonian Systems.- Adaptive Localized Reduced Basis Methods for Large Scale PDE-constrained Optimization.- Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling.- Fractional Differential Problems: Theoretical Aspects, Algorithms and Applications.- Parametric Analysis of Space-time Fractional Pennes Bioheat Model Using a Collocation Method Based on Radial Basis Functions and Chebyshev Polynomials.- Numerical Determination of Source from Point Observation in a Time-Fractional Boundary-Value Problem on Disjoint Intervals.- The Wright Function - Numerical Approximation and Hypergeometric Representation.- Study of Sparsification Schemes for the FEM Stiffness Matrix of Fractional Diffusion Problems.- Fractional Diffusion Problems with Reflecting Boundaries.- Variational Analysis and Optimal Control.- A Mean Field Model For Counter CBRN Threats.- A Sufficient Condition for a Discrete-Time Optimal Control Problem.- Stochastic Optimal Control and Numerical Methods in Economics and Finance.- Computation of the Unknown Time-Dependent Volatility of American Options from Integral Observations.- Tensor Methods for Big Data Analytics and Low-Rank Approximations of PDEs Solutions.- Efficient Solution of Stochastic Galerkin Matrix Equations via Reduced Basis and Tensor Train Approximation.- The Tensor-Train Mimetic Finite Difference Method For Three-dimensional Maxwell's Wave Propagation Equations.- A Functional Tensor Train Library in RUST for Numerical Integration and Resolution of Partial Differential Equations.- Applications of Metaheuristics to Large-Scale Problems.- Solving the Mountain Car Problem Using Genetic Algorithms.- Ant Algorithm with Local Search Procedure for Multiple Knapsack Problem.- Variable Neighborhood Search inHamming Space.- An Improved Algorithm for Fredholm Integral Equations.- Optimization of the Standard Lattice Sequence for Multidimensional Integrals Regarding Large-Scale Finance Problems.- Circular Intuitionistic Fuzzy Knapsack Problem.- Large-Scale Models: Numerical Methods, Parallel Computations and Applications.- Clouds Formed by Thermals Arising and Evolving under the Influence of the Coriolis Force.- A Nonstandard Finite Difference Method for a General Epidemic Model.- Minimization of Energy Functionals via FEM: Implementation of hp-FEM.- Influence of the Grid Resolutions on the Computer Simulated Transport and Transformation Atmospheric Composition Processes over the Territory of Bulgaria.- Development of New High Performance Computer Architectures and Improvements in Danish Eulerian Model for Long Range Transport of Air Pollutants.- Evaluation of the Effects of the National Emission Reduction Strategies for Years 2020-202
| Erscheinungsdatum | 25.05.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 482 p. 108 illus., 91 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Schlagworte | computations on matrices • Computer Networks • Correlation Analysis • Differential Equations • Discrete Optimization • discretization • evolutionary algorithms • Mathematical Analysis • Mathematical Optimization • Mesh Generation • Numerical analysis • optimization with randomized search heuristics • Ordinary differential equations • Partial differential equations |
| ISBN-10 | 3-031-56207-0 / 3031562070 |
| ISBN-13 | 978-3-031-56207-5 / 9783031562075 |
| Zustand | Neuware |
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