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Books
Matrices
Matrix Analysis for Scientists and Engineers
Lowest new price: $50.00
Lowest used price: $56.79
List price: $50.00
Author: Alan J. Laub
Brand: Brand: SIAM: Society for Industrial and Applied Mathematics

Matrix Analysis for Scientists and Engineers provides a blend of undergraduate and graduatelevel topics in matrix theory and linear algebra that relieves instructors of the burden of reviewing such material in subsequent courses that depend heavily on the language of matrices. Consequently, the text provides an oftenneeded bridge between undergraduatelevel matrix theory and linear algebra and the level of matrix analysis required for graduatelevel study and research. The text is sufficiently compact that the material can be taught comfortably in a onequarter or onesemester course. Throughout the book, the author emphasizes the concept of matrix factorization to provide a foundation for a later course in numerical linear algebra. The author addresses connections to differential and difference equations as well as to linear system theory and encourages instructors to augment these examples with other applications of their own choosing.
Features:
 Used Book in Good Condition
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Schaum's Outline of Matrix Operations (Schaum's Outlines)
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Lowest used price: $4.52
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Author: Richard Bronson
Brand: Bronson Richard

The ideal review for your matrix operations course More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Stepbystep, authors walk readers through coming up with solutions to exercises in their topic of choice.  363 detailed problems with stepbystep solutions
 Clear, concise explanations of matrix operations
 Help with Eigenvalues and the QR Algorithm
 A solvedproblem approach that teaches you with handson help
 Exercises for improving your problemsolving skills
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 Shaum s Outlines of Matrix Operations
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Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms
Lowest new price: $73.94
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List price: $115.00
Author: Anne Greenbaum
Brand: Brand: Princeton University Press

Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics from physics and engineering. Exercises use MATLAB and promote understanding of computational results.
The book gives instructors the flexibility to emphasize different aspectsdesign, analysis, or computer implementationof numerical algorithms, depending on the background and interests of students. Designed for upperdivision undergraduates in mathematics or computer science classes, the textbook assumes that students have prior knowledge of linear algebra and calculus, although these topics are reviewed in the text. Short discussions of the history of numerical methods are interspersed throughout the chapters. The book also includes polynomial interpolation at Chebyshev points, use of the MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials are available online.  Clear and concise exposition of standard numerical analysis topics
 Explores nontraditional topics, such as mathematical modeling and Monte Carlo methods
 Covers modern applications, including information retrieval and animation, and classical applications from physics and engineering
 Promotes understanding of computational results through MATLAB exercises
 Provides flexibility so instructors can emphasize mathematical or applied/computational aspects of numerical methods or a combination
 Includes recent results on polynomial interpolation at Chebyshev points and use of the MATLAB package Chebfun
 Short discussions of the history of numerical methods interspersed throughout
 Supplementary materials available online
Features:
 Used Book in Good Condition
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Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality
Lowest new price: $49.76
Lowest used price: $40.00
List price: $78.50
Author: J. B. Kuipers
Brand: Jack B Kuipers

Ever since the Irish mathematician William Rowan Hamilton introduced quaternions in the nineteenth centurya feat he celebrated by carving the founding equations into a stone bridgemathematicians and engineers have been fascinated by these mathematical objects. Today, they are used in applications as various as describing the geometry of spacetime, guiding the Space Shuttle, and developing computer applications in virtual reality. In this book, J. B. Kuipers introduces quaternions for scientists and engineers who have not encountered them before and shows how they can be used in a variety of practical situations. The book is primarily an exposition of the quaternion, a 4tuple, and its primary application in a rotation operator. But Kuipers also presents the more conventional and familiar 3 x 3 (9element) matrix rotation operator. These parallel presentations allow the reader to judge which approaches are preferable for specific applications. The volume is divided into three main parts. The opening chapters present introductory material and establish the book's terminology and notation. The next part presents the mathematical properties of quaternions, including quaternion algebra and geometry. It includes more advanced special topics in spherical trigonometry, along with an introduction to quaternion calculus and perturbation theory, required in many situations involving dynamics and kinematics. In the final section, Kuipers discusses stateoftheart applications. He presents a six degreeoffreedom electromagnetic position and orientation transducer and concludes by discussing the computer graphics necessary for the development of applications in virtual reality.
Features:
 Quaternions and Rotation Sequences A Primer with Applications to Orbits Aerospace and Virtual Reality
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Matrix Algebra Useful for Statistics (Wiley Series in Probability and Statistics)
Lowest new price: $90.89
Lowest used price: $77.40
List price: $135.00
Author: Shayle R. Searle

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theoremproof format and is selfcontained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations. In addition, André I. Khuri, who has extensive research and teaching experience in the field, joins this new edition as coauthor. The Second Edition also:  Contains new coverage on vector spaces and linear transformations and discusses computational aspects of matrices
 Covers the analysis of balanced linear models using direct products of matrices
 Analyzes multiresponse linear models where several responses can be of interest
 Includes extensive use of SAS, MATLAB, and R throughout
 Contains over 400 examples and exercises to reinforce understanding along with select solutions
 Includes plentiful new illustrations depicting the importance of geometry as well as historical interludes
Matrix Algebra Useful for Statistics, Second Edition is an ideal textbook for advanced undergraduate and firstyear graduate level courses in statistics and other related disciplines. The book is also appropriate as a reference for independent readers who use statistics and wish to improve their knowledge of matrix algebra. THE LATE SHAYLE R. SEARLE, PHD, was professor emeritus of biometry at Cornell University. He was the author of Linear Models for Unbalanced Data and Linear Models and coauthor of Generalized, Linear, and Mixed Models, Second Edition, Matrix Algebra for Applied Economics, and Variance Components, all published by Wiley. Dr. Searle received the Alexander von Humboldt Senior Scientist Award, and he was an honorary fellow of the Royal Society of New Zealand. ANDRÉ I. KHURI, PHD, is Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and coauthor of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.
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Matrix Differential Calculus with Applications in Statistics and Econometrics, 2nd Edition
Lowest new price: $58.00
Lowest used price: $56.95
List price: $145.00
Author: Jan R. Magnus
Brand: Jan R Magnus

Matrix Differential Calculus With Applications in Statistics and Econometrics Revised Edition Jan R. Magnus, CentER, Tilburg University, The Netherlands and Heinz Neudecker, Cesaro, Schagen, The Netherlands " .deals rigorously with many of the problems that have bedevilled the subject up to the present time."  Stephen Pollock, Econometric Theory "I continued to be pleasantly surprised by the variety and usefulness of its contents "  Isabella Verdinelli, Journal of the American Statistical Association Continuing the success of their first edition, Magnus and Neudecker present an exhaustive and selfcontained revised text on matrix theory and matrix differential calculus. Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioural sciences to econometrics. While the structure and successful elements of the first edition remain, this revised and updated edition contains many new examples and exercises. * Contains the essentials of multivariable calculus with an emphasis on the use of differentials * Many new examples and exercises * Fulfils the need for a unified and selfcontained treatment of matrix differential calculus * Includes new developments in this field Part I presents a concise, yet thorough overview of matrix algebra, while the second part develops the theory of differentials. The remaining Parts III to VI combine the theory and application of matrix differential calculus providing the practitioner and researcher with both a quick review and a detailed reference. Visit our web page http://www.wiley.com/
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 Matrix Differential Calculus with Applications in Statistics and Econometrics
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Topics in Random Matrix Theory (Graduate Studies in Mathematics)
Lowest new price: $51.32
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List price: $64.00
Author: Terence Tao

The field of random matrix theory has seen an explosion of activity in recent years, with connections to many areas of mathematics and physics. However, this makes the current state of the field almost too large to survey in a single book. In this graduate text, we focus on one specific sector of the field, namely the spectral distribution of random Wigner matrix ensembles (such as the Gaussian Unitary Ensemble), as well as iid matrix ensembles. The text is largely selfcontained and starts with a review of relevant aspects of probability theory and linear algebra. With over 200 exercises, the book is suitable as an introductory text for beginning graduate students seeking to enter the field.
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Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
Lowest new price: $74.55
Lowest used price: $36.00
List price: $99.00
Author: James E. Gentle
Brand: James E Gentle

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This muchneeded work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.
Features:
 Matrix Algebra Theory Computations and Applications in Statistics Springer Texts in Statistics
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Matrix Methods, Third Edition: Applied Linear Algebra
Lowest new price: $70.82
Lowest used price: $63.19
List price: $94.95
Author: Richard Bronson

Matrix Methods: Applied Linear Algebra, Third Edition, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems.  Applications like Markov chains, graph theory and Leontief Models are placed in early chapters
 Readability The prerequisite for most of the material is a firm understanding of algebra
 New chapters on Linear Programming and Markov Chains
 Appendix referencing the use of technology, with special emphasis on computer algebra systems (CAS) MATLAB
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HandsOn Matrix Algebra Using R: Active and Motivated Learning with Applications
Lowest new price: $53.46
Lowest used price: $51.00
List price: $55.00
Author: Hrishikesh D Vinod
Brand: Hrishikesh D Vinod

This is the first book of its kind which teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. Instead of a calculator, R is a vastly more powerful free software and graphics system. The book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium. The reader can check each matrix result with numerical examples of exactly what they mean and understand their implications. The book does not shy away from advanced topics, especially the ones with practical applications.
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 Hands on Matrix Algebra Using R Active and Motivated Learning With Applications
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