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The Mathematics of Matrices

Author : Philip J. Davis
Publisher : John Wiley & Sons
Page : 376 pages
File Size : 18,98 MB
Release : 1973
Category : Mathematics
ISBN :

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Introduction to Matrices and Vectors

Author : Jacob T. Schwartz
Publisher : Courier Corporation
Page : 198 pages
File Size : 39,93 MB
Release : 2012-05-23
Category : Mathematics
ISBN : 0486143708

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Realizing that matrices can be a confusing topic for the beginner, the author of this undergraduate text has made things as clear as possible by focusing on problem solving, rather than elaborate proofs. He begins with the basics, offering students a solid foundation for the later chapters on using special matrices to solve problems.The first three chapters present the basics of matrices, including addition, multiplication, and division, and give solid practice in the areas of matrix manipulation where the laws of algebra do not apply. In later chapters the author introduces vectors and shows how to use vectors and matrices to solve systems of linear equations. He also covers special matrices — including complex numbers, quaternion matrices, and matrices with complex entries — and transpose matrices; the trace of a matrix; the cross product of matrices; eigenvalues and eigenvectors; and infinite series of matrices. Exercises at the end of each section give students further practice in problem solving. Prerequisites include a background in algebra, and in the later chapters, a knowledge of solid geometry. The book was designed as an introductory text for college freshmen and sophomores, but selected chapters can also be used to supplement advanced high school classes. Professionals who need a better understanding or review of the subject will also benefit from this concise guide.

Matrices and Linear Algebra

Author : Hans Schneider
Publisher : Courier Corporation
Page : 430 pages
File Size : 45,68 MB
Release : 2012-06-08
Category : Mathematics
ISBN : 0486139301

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Linear algebra is one of the central disciplines in mathematics. A student of pure mathematics must know linear algebra if he is to continue with modern algebra or functional analysis. Much of the mathematics now taught to engineers and physicists requires it. This well-known and highly regarded text makes the subject accessible to undergraduates with little mathematical experience. Written mainly for students in physics, engineering, economics, and other fields outside mathematics, the book gives the theory of matrices and applications to systems of linear equations, as well as many related topics such as determinants, eigenvalues, and differential equations. Table of Contents: l. The Algebra of Matrices 2. Linear Equations 3. Vector Spaces 4. Determinants 5. Linear Transformations 6. Eigenvalues and Eigenvectors 7. Inner Product Spaces 8. Applications to Differential Equations For the second edition, the authors added several exercises in each chapter and a brand new section in Chapter 7. The exercises, which are both true-false and multiple-choice, will enable the student to test his grasp of the definitions and theorems in the chapter. The new section in Chapter 7 illustrates the geometric content of Sylvester's Theorem by means of conic sections and quadric surfaces. 6 line drawings. lndex. Two prefaces. Answer section.

Matrix Computations and Semiseparable Matrices

Author : Raf Vandebril
Publisher : JHU Press
Page : 516 pages
File Size : 45,92 MB
Release : 2008-12-15
Category : Mathematics
ISBN : 0801896800

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The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These matrices have hidden properties that allow the development of efficient methods and algorithms to accurately compute the matrix eigenvalues. This thorough analysis of semiseparable matrices explains their theoretical underpinnings and contains a wealth of information on implementing them in practice. Many of the routines featured are coded in Matlab and can be downloaded from the Web for further exploration.

Vector Spaces and Matrices

Author : Robert M. Thrall
Publisher : Courier Corporation
Page : 340 pages
File Size : 38,86 MB
Release : 2014-01-15
Category : Mathematics
ISBN : 0486321053

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Students receive the benefits of axiom-based mathematical reasoning as well as a grasp of concrete formulations. Suitable as a primary or supplementary text for college-level courses in linear algebra. 1957 edition.

Random Matrices

Author : Alexei Borodin
Publisher : American Mathematical Soc.
Page : 498 pages
File Size : 24,19 MB
Release : 2019-10-30
Category : Education
ISBN : 1470452804

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Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer science, data science, numerical analysis, biology, ecology, engineering, and operations research. This book provides a snippet of this vast domain of study, with a particular focus on the notations of universality and integrability. Universality shows that many systems behave the same way in their large scale limit, while integrability provides a route to describe the nature of those universal limits. Many of the ten contributed chapters address these themes, while others touch on applications of tools and results from random matrix theory. This book is appropriate for graduate students and researchers interested in learning techniques and results in random matrix theory from different perspectives and viewpoints. It also captures a moment in the evolution of the theory, when the previous decade brought major break-throughs, prompting exciting new directions of research.

Applications of the Theory of Matrices

Author : F. R. Gantmacher
Publisher : Courier Corporation
Page : 336 pages
File Size : 42,57 MB
Release : 2005-01-01
Category : Mathematics
ISBN : 0486445542

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The breadth of matrix theory's applications is reflected by this volume, which features material of interest to applied mathematicians as well as to control engineers studying stability of a servo-mechanism and numerical analysts evaluating the roots of a polynomial. Starting with a survey of complex symmetric, antisymmetric, and orthogonal matrices, the text advances to explorations of singular bundles of matrices and matrices with nonnegative elements. Applied mathematicians will take particular note of the full and readable chapter on applications of matrix theory to the study of systems of linear differential equations, and the text concludes with an exposition on the Routh-Hurwitz problem plus several helpful appendixes. 1959 edition.

Introduction to Applied Linear Algebra

Author : Stephen Boyd
Publisher : Cambridge University Press
Page : 477 pages
File Size : 39,32 MB
Release : 2018-06-07
Category : Business & Economics
ISBN : 1316518965

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A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

The Theory of Matrices

Author : Feliks Ruvimovich Gantmakher
Publisher :
Page : 296 pages
File Size : 38,18 MB
Release : 1960
Category : Matrices
ISBN :

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Hierarchical Matrices: Algorithms and Analysis

Author : Wolfgang Hackbusch
Publisher : Springer
Page : 532 pages
File Size : 13,98 MB
Release : 2015-12-21
Category : Mathematics
ISBN : 3662473240

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This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear systems but also the approximation of matrix functions, e.g., the matrix exponential. Other applications include the solution of matrix equations, e.g., the Lyapunov or Riccati equation. The required mathematical background can be found in the appendix. The numerical treatment of fully populated large-scale matrices is usually rather costly. However, the technique of hierarchical matrices makes it possible to store matrices and to perform matrix operations approximately with almost linear cost and a controllable degree of approximation error. For important classes of matrices, the computational cost increases only logarithmically with the approximation error. The operations provided include the matrix inversion and LU decomposition. Since large-scale linear algebra problems are standard in scientific computing, the subject of hierarchical matrices is of interest to scientists in computational mathematics, physics, chemistry and engineering.