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Algorithms for Large Scale Linear Algebraic Systems:

techniques, and some iterative optimization tools. The book is a compendium of theoretical and numerical methods for solving large algebraic;

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Numerical Methods for Linear Control Systems

Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and;

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Computational Methods for Approximation of Large-Scale Dynamical Systems

represented by linear time-invariant (LTI) continuous-time (CT) systems. Oftentimes these systems are subject to additional algebraic constraints;

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Applied Iterative Methods

This graduate-level text examines the practical use of iterative methods in solving large, sparse systems of linear algebraic equations and;

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Implicit Linear Systems

where causality is unknown or may change. They are implicit in all variables and closed under the algebraic operations, and hence are useful for;

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Fast Reliable Algorithms for Matrices with Structure

-scale structured systems of linear equations, in many cases, remains a significant open issue. Fast Reliable Algorithms for Matrices with;

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Mathematical Models of Non-linear Phenomena, Processes & Systems

mathematical treatment of non-linear problems, including the methodologies, algorithms and properties of analytical and numerical solutions;

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Parallel Random Search Algorithm

systems with shared memory (OpenMP) and cluster systems (MPI library). The parallel efficiency is estimated for the large-scale non-linear pseudo;

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Computation with Linear Algebraic Groups

Designed as a self-contained account of a number of key algorithmic problems and their solutions for linear algebraic groups, this book;

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Decentralized Estimation and Control for Multisensor Systems

control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or;

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Numerical Algorithms with Fortran

for solving algebraic equations, conjugating gradients for solving linear systems of equations, and the McKee algorithm for solving special;

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Optimization Theory for Large Syste

in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Large scale Graph Analysis System Algorithm and Optimization

This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and;

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Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some;

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Algebraic Systems and Computational Complexity Theory

of polynomial mapping, and piecewise linear algorithms. This text is designed for use by researchers and graduates interested in algebraic equations and;

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Large-Scale Scientific Computing

decomposition and local refinement methods; Robust preconditioning algorithms; Monte Carlo methods and algorithms; Numerical linear algebra; Control;

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Iterative Solution of Large Sparse Systems of Equations

content describing and analysing classical and modern methods with emphasis on the algebraic structure of linear iteration, which is usually;

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Unstructured Scientific Computation on Scalable Multiprocessors

for partial differential equations and sparse linear algebra.The nineteen contributions describe methods to effectively map fluids and;

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Large-Scale Scientific Computing

This book constitutes revised papers from the 12th International Conference on Large-Scale Scientifi;...

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

optimization and linear algebra to use GAMS technology to understand and utilize its important capabilities to optimize algorithms for modeling and;

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Large-Scale Simulation

infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault;

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Large-Scale Simulation

infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault;

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Hierarchical Matrices

perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes;

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Krylov Methods for Nonsymmetric Linear Systems

systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most;

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Krylov Methods for Nonsymmetric Linear Systems

systems of algebraic linear equations and to study their mathematical properties. Solving systems of algebraic linear equations is among the most;

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