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Numerical Methods in Matrix Computations

methods is given. Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas;

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Matrix Computations

in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation;

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Fundamentals of Matrix Computations

Fundamentals of Matrix Computations deals with the concept of matrix computations, a technique of singular value homogenization and its;

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Matrix Computations

mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters;

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Fundamentals of Matrix Computations

is an excellent book for courses on matrix computations and applied numerical linear algebra at the upper-undergraduate and graduate level. The;

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Numerical Methods for Engineers and Scientists Using MATLAB (R)

as numerical solutions of initial-value and boundary-value problems. The author then presents the numerical solution of the matrix eigenvalue;

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Numerical Methods for Stochastic Computations

The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes;

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Quaternion Matrix Computations

In this monograph, the authors describe state-of-the-art real structure-preserving algorithms for quaternion matrix computations;

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Numerical And Symbolic Computations Of Generalized Inverses

is important for numerical-symbolic computations.;

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Matrix Computations and Semiseparable Matrices - Eigenvalve and Singular Value Methods V2

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and;

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Matrix Methods in Data Mining and Pattern Recognition

This thoroughly revised second edition provides an updated treatment of numerical linear algebra techniques for solving problems in data;

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Matrix, Numerical, and Optimization Methods in Science and Engineering

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Fundamentals of Matrix Computations

A significantly revised and improved introduction to a critical aspect of scientific computationMatrix computations lie at the heart;

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Numerical Methods for Scientists and Engineers

This book presents an exhaustive and in-depth exposition of the various numerical methods used in scientific and engineering computations;

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Structured Matrix Based Methods for Approximate Polynomial GCD

polynomial GCD are presented, along with extensive numerical tests. The use of matrix structure allows, in particular, to lower the asymptotic;

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Soft Numerical Computing in Uncertain Dynamic Systems

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at;

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Numerical Computations: Theory and Algorithms

The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical;

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Matrices, Moments and Quadrature with Applications

Tikhonov regularization. This book will interest researchers in numerical linear algebra and matrix computations, as well as scientists and;

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Polynomial and Matrix Computations

techniques of data compres sion and the study of numerical approximation properties of polynomial and matrix algorithms), and on computations with;

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Large Scale Scientific Computing

carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on numerical modeling of fluids and;

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Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

of current interest in numerical linear algebra. Exploitation of these less obvious structural properties can be of great importance in the design;

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Large-Scale Scientific Computing

approaches; numerical methods for multiphysics problems; large-scale models: numerical methods, parallel computations and applications;

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Analysis of Numerical Methods

courses, this book offers lucid, carefully presented coverage of norms, numerical solution of linear systems and matrix factoring, iterative;

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An Introduction to Numerical Methods and Analysis, Third Edition

The new edition of the popular introductory textbook on numerical approximation methods and mathematical analysis, with a unique emphasis;

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Numerical Linear Algebra

systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems;

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