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Structured Matrix Based Methods for Approximate Polynomial GCD

computations, the polynomial GCD problem can be expressed in matrix form: the second part of the book focuses on this point of view and analyses the;

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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

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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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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Fundamentals of Matrix Computations

This new, modernized edition provides a clear and thorough introduction to matrix computations,a key component of scientific computing;

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Numerical Methods for Stochastic Computations

the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension;

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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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Linear Algebra and Matrix Computations with MATLAB (R)

This book focuses the solutions of linear algebra and matrix analysis problems, with the exclusive use of MATLAB. The topics include;

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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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Matrix Computations

on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Numerical Methods in Matrix Computations

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers;

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Core-Chasing Algorithms for the Eigenvalue Problem

of a polynomial by solving the companion matrix eigenvalue problem. The authors received a SIAM Outstanding Paper prize for this work. This;

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Numerical Methods for Roots of Polynomials - Part I

iterations, and matrix methods. There is an extensive chapter on evaluation of polynomials, including parallel methods and errors. There are pointers;

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Polynomial Operator Equations in Abstract Spaces and Applications

. Polynomial Operator Equations in Abstract Spaces and Applications - an outgrowth of fifteen years of the author's research work - presents new and;

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Code Design For Dependable Systems

Theoretical and practical tools to master matrix code design strategy and technique Error correcting and detecting codes are essential to;

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Handbook of Matrices

, simple method for describing long and complicated computations. This is a comprehensive handbook and dictionary of terms for matrix theory.;

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Lattice Basis Reduction

, number theory, polynomial factorization, and matrix canonical forms.;

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Complexity of Computer Computations

matrix and polynomial calculations, sorting and other combinatorial problems, iterative com putations, solving equations, and computer resource;

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Polynomial Operator Equations in Abstract Spaces and Applications

. Polynomial Operator Equations in Abstract Spaces and Applications - an outgrowth of fifteen years of the author's research work - presents new and;

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Lecture Notes On Knot Invariants

detailed Hecke algebra and braid representation to illustrate the original Jones polynomial (rather than the algebraic formal definition many other;

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Lecture Notes On Knot Invariants

detailed Hecke algebra and braid representation to illustrate the original Jones polynomial (rather than the algebraic formal definition many other;

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Computational Aspects of Modular Forms and Galois Representations

Modular forms are tremendously important in various areas of mathematics, from number theory and algebraic geometry to combinatorics and;

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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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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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Linear Algebra

points of the Gaussian elimination algorithm. Discusses vector spaces and linear transformations using matrix computations. Takes advantage;

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