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020 _a9783031562082
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072 7 _aUYA
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072 7 _aCOM014000
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072 7 _aUYA
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245 1 0 _aLarge-Scale Scientific Computations
_h[electronic resource] :
_b14th International Conference, LSSC 2023, Sozopol, Bulgaria, June 5–9, 2023, Revised Selected Papers /
_cedited by Ivan Lirkov, Svetozar Margenov.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIV, 482 p. 108 illus., 91 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13952
505 0 _aInvited 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.
520 _aThis 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.
650 0 _aComputer science.
_958552
650 0 _aComputer networks .
_960157
650 0 _aData structures (Computer science).
_966708
650 0 _aInformation theory.
_957783
650 0 _aComputer engineering.
650 0 _aMathematics
_xData processing.
_965715
650 0 _aComputer science
_xMathematics.
_964041
650 1 4 _aTheory of Computation.
_967552
650 2 4 _aComputer Communication Networks.
_965689
650 2 4 _aData Structures and Information Theory.
_966709
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputational Mathematics and Numerical Analysis.
_966073
650 2 4 _aMathematical Applications in Computer Science.
_965518
700 1 _aLirkov, Ivan.
_eeditor.
_0(orcid)0000-0002-5870-2588
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700 1 _aMargenov, Svetozar.
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_977304
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13952
856 4 0 _uhttps://doi.org/10.1007/978-3-031-56208-2
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