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Absorbing Boundaires & Layers, Domain Decomposition Methods

, in the context of domain decomposition methods. Several methods were developed including: integral equations, infinite elements, boundary layers;

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An Introduction to Domain Decomposition Methods

Domain decomposition methods are widely used for numerical simulations on parallel machines from tens to hundreds of thousands of cores;

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Non-overlapping Domain Decomposition Methods for Three-dimensional Cardiac Reaction-diffusion Models and Applications.

Non-overlapping Domain Decomposition Methods for Three-dimensional Cardiac Reaction-diffusion Models and Applications. is een boek;

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Domain Decomposition Methods in Science and Engineering XXIV

These are the proceedings of the 24th International Conference on Domain Decomposition Methods in Science and Engineering, which was held;

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Domain Decomposition Methods in Science and Engineering XXV

These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held;

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Domain Decomposition

This book presents an easy-to-read discussion of domain decomposition algorithms, their implementation and analysis. The relationship;

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Domain Decomposition Methods for Non-Conforming Finite Discretizations

Domain decomposition refers to numerical methods for obtaining solutions of scientific and engineering problems by combining solutions to;

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Multiple Shooting and Time Domain Decomposition Methods

time domain decomposition, focusing on multiple shooting and parareal algorithms. The range of topics covers theoretical analysis of the;

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Multiple Shooting and Time Domain Decomposition Methods

time domain decomposition, focusing on multiple shooting and parareal algorithms. The range of topics covers theoretical analysis of the;

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Advances in Audio Watermarking Based on Matrix Decomposition

This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1;

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DirichletDirichlet Domain Decomposition Methods for Elliptic Problems

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems;

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High Performance Simulation for Industrial Paint Shop Applications

corresponding high-performance computing (HPC) methods utilized in this domain. The authors provide a comprehensive introduction to fluid simulations;

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High Performance Simulation for Industrial Paint Shop Applications

corresponding high-performance computing (HPC) methods utilized in this domain. The authors provide a comprehensive introduction to fluid simulations;

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Decomposition Methods for Differential Equations

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution;

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Decomposition Methods for Differential Equations

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution;

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Two Dimensional Integral Equations

of weighted residual methods (collocation method, sub-domain method, least square method and Galerkin method) and two different types of Iterative;

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Acta Numerica Acta Numerica 1994

developments of 1994. Highlights of the year's issue are articles on domain decomposition, mesh adaption, pseudospectral methods and neural networks.;

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Acta Numerica 1994

developments of 1994. Highlights of the year's issue are articles on domain decomposition, mesh adaption, pseudospectral methods and neural networks.;

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Time-domain Optics of Ultrashort Waveforms

Time domain transient electrodynamics of dispersive and glossy media form the subject of this book. This topic is associated with the;

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Numerical Linear Algebra: An Introduction

, domain decomposition methods, multipole expansions, hierarchical matrices and compressed sensing. The book provides rigorous mathematical proofs;

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Numerical Linear Algebra

, domain decomposition methods, multipole expansions, hierarchical matrices and compressed sensing. The book provides rigorous mathematical proofs;

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Parallel Solution of Partial Differential Equations

decomposition methods, parallel multi-grid methods, front tracking methods, sparse matrix techniques, adaptive methods, fictitious domain methods, and;

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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that;

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Computational Methods For Electromagnetic Phenomena

-domain methods * Finite element and plane wave frequency-domain methods for periodic structures * Generalized DG beam propagation method for;

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Stochastic Linear Programming Algorithms

. The following methods are considered: regularized decomposition, stochastic decomposition and successive discrete approximation methods for;

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Advances in Audio Watermarking Based on Singular Value Decomposition

discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against;

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Modern Methods in Scientific Computing and Applications

, to name but a few. One half of this book focuses on the techniques of scientific computing: domain decomposition, the absorption of boundary;

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