Large-Scale Scientific Computations 14th International Conference, LSSC 2023, Sozopol, Bulgaria, June 5-9, 2023, Revised Selected Papers / [electronic resource] :
edited by Ivan Lirkov, Svetozar Margenov.
- 1st ed. 2024.
- XIV, 482 p. 108 illus., 91 illus. in color. online resource.
- Lecture Notes in Computer Science, 13952 1611-3349 ; .
- Lecture Notes in Computer Science, 13952 .
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 2020-2029 and after 2030 on the AQI on the Territory of Bulgaria -- Mathematical and Computational Modeling of a Nonlinear Elliptic Problem in Divergence Form -- Two Approaches for Identifying Epidemiological Parameters Illustrated with COVID-19 Data for Bulgaria -- Improved Stochastic Lattice Methods for Large-scale Air Pollution Model -- HPC and HPDA: Algorithms and Applications -- Parallel Solution of the Schrödinger-Poisson Equation on GPUs -- Anastylosis of Frescos - a Web Service in an HPC Environment -- A Resolvent Quasi-Monte Carlo Method for Estimating the Minimum Eigenvalues Using the Error Balancing -- Influence of the Grid Resolutions on the Computer Simulated Air Quality Indices over the Territory of Bulgaria -- Application of Active Subspaces for Model Reduction and Identification of Design Space -- EOCSim: A CloudSim-Based Simulator for Earth Observation Data Processing in Clouds -- About Methods of Vector Addition over FiniteFields Using Extended Vector Registers -- Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform -- Parallelisms of PG(3,4) with a Great Number of Regular Spreads -- Contributed Papers -- On Some Quadratic Eigenvalue Problems -- Numerical Determination of Time-dependent Volatility for American Option When the Optimal Exercise Boundary Is Known -- Exploring the Global Solution Space of a Simple Schrödinger-Poisson Problem.
This book constitutes the refereed proceedings of the 14th International Conference on Large-Scale Scientific Computations, LSSC 2023, held in Sozopol, Bulgaria, during June 5-9, 2023. 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.
9783031562082
10.1007/978-3-031-56208-2 doi
Computer science. Computer networks . Data structures (Computer science). Information theory. Computer engineering. Mathematics--Data processing. Computer science--Mathematics. Theory of Computation. Computer Communication Networks. Data Structures and Information Theory. Computer Engineering and Networks. Computational Mathematics and Numerical Analysis. Mathematical Applications in Computer Science.