Applied And Computational Matrix Analysis

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Computational Matrix Analysis

Author : Alan J. Laub
Publisher : SIAM
Page : 157 pages
File Size : 52,7 Mb
Release : 2012-01-01
Category : Mathematics
ISBN : 9781611972214

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Computational Matrix Analysis by Alan J. Laub Pdf

Using an approach that author Alan Laub calls "matrix analysis for grown-ups," this new textbook introduces fundamental concepts of numerical linear algebra and their application to solving certain numerical problems arising in state-space control and systems theory. It is written for advanced undergraduate and beginning graduate students and can be used as a follow-up to Matrix Analysis for Scientists and Engineers (SIAM, 2005), a compact single-semester introduction to matrix analysis for engineers and computational scientists by the same author. Computational Matrix Analysis provides readers with a one-semester introduction to numerical linear algebra; an introduction to statistical condition estimation in book form for the first time; and an overview of certain computational problems in control and systems theory. The book features a number of elements designed to help students learn to use numerical linear algebra in day-to-day computing or research, including a brief review of matrix analysis, including notation, and an introduction to finite (IEEE) arithmetic; discussion and examples of conditioning, stability, and rounding analysis; an introduction to mathematical software topics related to numerical linear algebra; a thorough introduction to Gaussian elimination, along with condition estimation techniques; coverage of linear least squares, with orthogonal reduction and QR factorization; variants of the QR algorithm; and applications of the discussed algorithms.

Applied and Computational Matrix Analysis

Author : Natália Bebiano
Publisher : Springer
Page : 347 pages
File Size : 46,5 Mb
Release : 2017-03-01
Category : Mathematics
ISBN : 9783319499840

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Applied and Computational Matrix Analysis by Natália Bebiano Pdf

This volume presents recent advances in the field of matrix analysis based on contributions at the MAT-TRIAD 2015 conference. Topics covered include interval linear algebra and computational complexity, Birkhoff polynomial basis, tensors, graphs, linear pencils, K-theory and statistic inference, showing the ubiquity of matrices in different mathematical areas. With a particular focus on matrix and operator theory, statistical models and computation, the International Conference on Matrix Analysis and its Applications 2015, held in Coimbra, Portugal, was the sixth in a series of conferences. Applied and Computational Matrix Analysis will appeal to graduate students and researchers in theoretical and applied mathematics, physics and engineering who are seeking an overview of recent problems and methods in matrix analysis.

Applied Linear Algebra and Matrix Analysis

Author : Thomas S. Shores
Publisher : Springer Science & Business Media
Page : 404 pages
File Size : 41,7 Mb
Release : 2007-08-14
Category : Mathematics
ISBN : 0387331956

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Applied Linear Algebra and Matrix Analysis by Thomas S. Shores Pdf

This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms. Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises.

Functions of Matrices

Author : Nicholas J. Higham
Publisher : SIAM
Page : 431 pages
File Size : 47,5 Mb
Release : 2008-09-11
Category : Mathematics
ISBN : 9780898716467

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Functions of Matrices by Nicholas J. Higham Pdf

“This superb book is timely and is written with great attention paid to detail, particularly in its referencing of the literature. The book has a wonderful blend of theory and code (MATLAB®) so will be useful both to nonexperts and to experts in the field.” — Alan Laub, Professor, University of California, Los Angeles The only book devoted exclusively to matrix functions, this research monograph gives a thorough treatment of the theory of matrix functions and numerical methods for computing them. The author's elegant presentation focuses on the equivalent definitions of f(A) via the Jordan canonical form, polynomial interpolation, and the Cauchy integral formula, and features an emphasis on results of practical interest and an extensive collection of problems and solutions. Functions of Matrices: Theory and Computation is more than just a monograph on matrix functions; its wide-ranging content—including an overview of applications, historical references, and miscellaneous results, tricks, and techniques with an f(A) connection—makes it useful as a general reference in numerical linear algebra.Other key features of the book include development of the theory of conditioning and properties of the Fréchet derivative; an emphasis on the Schur decomposition, the block Parlett recurrence, and judicious use of Padé approximants; the inclusion of new, unpublished research results and improved algorithms; a chapter devoted to the f(A)b problem; and a MATLAB® toolbox providing implementations of the key algorithms.Audience: This book is for specialists in numerical analysis and applied linear algebra as well as anyone wishing to learn about the theory of matrix functions and state of the art methods for computing them. It can be used for a graduate-level course on functions of matrices and is a suitable reference for an advanced course on applied or numerical linear algebra. It is also particularly well suited for self-study. Contents: List of Figures; List of Tables; Preface; Chapter 1: Theory of Matrix Functions; Chapter 2: Applications; Chapter 3: Conditioning; Chapter 4: Techniques for General Functions; Chapter 5: Matrix Sign Function; Chapter 6: Matrix Square Root; Chapter 7: Matrix pth Root; Chapter 8: The Polar Decomposition; Chapter 9: Schur-Parlett Algorithm; Chapter 10: Matrix Exponential; Chapter 11: Matrix Logarithm; Chapter 12: Matrix Cosine and Sine; Chapter 13: Function of Matrix Times Vector: f(A)b; Chapter 14: Miscellany; Appendix A: Notation; Appendix B: Background: Definitions and Useful Facts; Appendix C: Operation Counts; Appendix D: Matrix Function Toolbox; Appendix E: Solutions to Problems; Bibliography; Index.

Matrix Analysis and Computations

Author : Zhong-Zhi Bai,Jian-Yu Pan
Publisher : SIAM
Page : 496 pages
File Size : 48,6 Mb
Release : 2021-09-09
Category : Mathematics
ISBN : 9781611976632

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Matrix Analysis and Computations by Zhong-Zhi Bai,Jian-Yu Pan Pdf

This comprehensive book is presented in two parts; the first part introduces the basics of matrix analysis necessary for matrix computations, and the second part presents representative methods and the corresponding theories in matrix computations. Among the key features of the book are the extensive exercises at the end of each chapter. Matrix Analysis and Computations provides readers with the matrix theory necessary for matrix computations, especially for direct and iterative methods for solving systems of linear equations. It includes systematic methods and rigorous theory on matrix splitting iteration methods and Krylov subspace iteration methods, as well as current results on preconditioning and iterative methods for solving standard and generalized saddle-point linear systems. This book can be used as a textbook for graduate students as well as a self-study tool and reference for researchers and engineers interested in matrix analysis and matrix computations. It is appropriate for courses in numerical analysis, numerical optimization, data science, and approximation theory, among other topics

An Introduction to Applied Matrix Analysis

Author : Xiao Qing Jin,Seak-Weng Vong
Publisher : World Scientific Publishing Company
Page : 144 pages
File Size : 47,5 Mb
Release : 2016-05-30
Category : Mathematics
ISBN : 9789814749480

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An Introduction to Applied Matrix Analysis by Xiao Qing Jin,Seak-Weng Vong Pdf

It is well known that most problems in science and engineering eventually progress into matrix problems. This book gives an elementary introduction to applied matrix theory and it also includes some new results obtained in recent years. The book consists of eight chapters. It includes perturbation and error analysis; the conjugate gradient method for solving linear systems; preconditioning techniques; and least squares algorithms based on orthogonal transformations, etc. The last two chapters include some latest development in the area. In Chap. 7, we construct optimal preconditioners for functions of matrices. More precisely, let f be a function of matrices. Given a matrix A, there are two choices of constructing optimal preconditioners for f(A). Properties of these preconditioners are studied for different functions. In Chap. 8, we study the Bottcher–Wenzel conjecture and discuss related problems. This is a textbook for senior undergraduate or junior graduate students majoring in science and engineering. The material is accessible to students who, in various disciplines, have basic linear algebra, calculus, numerical analysis, and computing knowledge. The book is also useful to researchers in computational science who are interested in applied matrix theory.

Matrix Analysis and Applied Linear Algebra

Author : Carl D. Meyer
Publisher : SIAM
Page : 729 pages
File Size : 51,5 Mb
Release : 2000-06-01
Category : Mathematics
ISBN : 9780898714548

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Matrix Analysis and Applied Linear Algebra by Carl D. Meyer Pdf

This book avoids the traditional definition-theorem-proof format; instead a fresh approach introduces a variety of problems and examples all in a clear and informal style. The in-depth focus on applications separates this book from others, and helps students to see how linear algebra can be applied to real-life situations. Some of the more contemporary topics of applied linear algebra are included here which are not normally found in undergraduate textbooks. Theoretical developments are always accompanied with detailed examples, and each section ends with a number of exercises from which students can gain further insight. Moreover, the inclusion of historical information provides personal insights into the mathematicians who developed this subject. The textbook contains numerous examples and exercises, historical notes, and comments on numerical performance and the possible pitfalls of algorithms. Solutions to all of the exercises are provided, as well as a CD-ROM containing a searchable copy of the textbook.

Numerical Matrix Analysis

Author : Ilse C. F. Ipsen
Publisher : SIAM
Page : 135 pages
File Size : 51,7 Mb
Release : 2009-07-23
Category : Mathematics
ISBN : 9780898716764

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Numerical Matrix Analysis by Ilse C. F. Ipsen Pdf

Matrix analysis presented in the context of numerical computation at a basic level.

Applied Linear Algebra and Matrix Analysis

Author : Thomas S. Shores
Publisher : Springer
Page : 0 pages
File Size : 47,8 Mb
Release : 2008-11-01
Category : Mathematics
ISBN : 0387512950

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Applied Linear Algebra and Matrix Analysis by Thomas S. Shores Pdf

This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms. Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises.

Matrix Analysis for Scientists and Engineers

Author : Alan J. Laub
Publisher : SIAM
Page : 159 pages
File Size : 55,5 Mb
Release : 2005-01-01
Category : Mathematics
ISBN : 9780898715767

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Matrix Analysis for Scientists and Engineers by Alan J. Laub Pdf

"Prerequisites for using this text are knowledge of calculus and some previous exposure to matrices and linear algebra, including, for example, a basic knowledge of determinants, singularity of matrices, eigenvalues and eigenvectors, and positive definite matrices. There are exercises at the end of each chapter."--BOOK JACKET.

Numerical Methods in Matrix Computations

Author : Åke Björck
Publisher : Springer
Page : 800 pages
File Size : 43,5 Mb
Release : 2014-10-07
Category : Mathematics
ISBN : 9783319050898

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Numerical Methods in Matrix Computations by Åke Björck Pdf

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given. Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers as well as recent research papers. This makes the book useful also as a reference and guide to further study and research work.

Matrix Iterative Analysis

Author : Richard S Varga
Publisher : Springer Science & Business Media
Page : 363 pages
File Size : 46,7 Mb
Release : 2009-12-05
Category : Mathematics
ISBN : 9783642051562

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Matrix Iterative Analysis by Richard S Varga Pdf

This book is a revised version of the first edition, regarded as a classic in its field. In some places, newer research results have been incorporated in the revision, and in other places, new material has been added to the chapters in the form of additional up-to-date references and some recent theorems to give readers some new directions to pursue.

Numerical Matrix Analysis

Author : Ilse C. F. Ipsen
Publisher : SIAM
Page : 136 pages
File Size : 43,7 Mb
Release : 2009-01-01
Category : Mathematics
ISBN : 9780898717686

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Numerical Matrix Analysis by Ilse C. F. Ipsen Pdf

The purpose of this book is to promote understanding of two phenomena: sensitivity of linear systems and least squares problems, and numerical stability of algorithms. Sensitivity and stability are analyzed as mathematical properties, without reference to finite precision arithmetic. The material is presented at a basic level, emphasizing ideas and intuition, but in a mathematically rigorous fashion. The derivations are simple and elegant, and the results are easy to understand and interpret. The book is self-contained. It was written for students in all areas of mathematics, engineering, and the computational sciences, but can easily be used for self-study. This text differs from other numerical linear algebra texts by offering the following: a systematic development of numerical conditioning; a simplified concept of numerical stability in exact arithmetic; simple derivations; a high-level view of algorithms; and results for complex matrices.

An Introduction to Applied Matrix Analysis

Author : 金小庆,黄锡荣
Publisher : Unknown
Page : 130 pages
File Size : 50,8 Mb
Release : 2016
Category : Matrices
ISBN : 7040449943

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An Introduction to Applied Matrix Analysis by 金小庆,黄锡荣 Pdf

The Total Least Squares Problem

Author : Sabine Van Huffel,Joos Vandewalle
Publisher : SIAM
Page : 302 pages
File Size : 54,8 Mb
Release : 1991-01-01
Category : Mathematics
ISBN : 9780898712759

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The Total Least Squares Problem by Sabine Van Huffel,Joos Vandewalle Pdf

This is the first book devoted entirely to total least squares. The authors give a unified presentation of the TLS problem. A description of its basic principles are given, the various algebraic, statistical and sensitivity properties of the problem are discussed, and generalizations are presented. Applications are surveyed to facilitate uses in an even wider range of applications. Whenever possible, comparison is made with the well-known least squares methods. A basic knowledge of numerical linear algebra, matrix computations, and some notion of elementary statistics is required of the reader; however, some background material is included to make the book reasonably self-contained.