Matrix Methods
An Introduction
2nd Edition
Published on 23. April 1991
Book
Hardback
520 pages
978-0-12-135251-6 (ISBN)
Description
This new edition of Matrix Methods emphasizes applications to Jordan-canonical forms, differential equations, and least squares. The revision now includes an entire new chapter on inner products, additional material on elementary row applications, and hundreds of new exercises.
More details
Edition
2nd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Edition type
New edition
Dimensions
Height: 234 mm
Width: 191 mm
Weight
1061 gr
ISBN-13
978-0-12-135251-6 (9780121352516)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
12/2008
3rd Edition
Academic Press
€81.70
Article exhausted; check for reprint
Person
Richard Bronson is a Professor of Mathematics and Computer Science at Fairleigh Dickinson University and is Senior Executive Assistant to the President. Ph.D., in Mathematics from Stevens Institute of Technology. He has written several books and numerous articles on Mathematics. He has served as Interim Provost of the Metropolitan Campus, and has been Acting Dean of the College of Science and Engineering at the university in New Jersey
Content
Matrices. Basic Concepts. Operations. Matrix Multiplication. Special Matrices. Submatrices and Partitioning. Vectors. The Geometry of Vectors. Simultaneous Linear Equations: Linear Systems. Solutions by Substitution. Gaussian Elimination. Pivoting Strategies. Linear Independence. Rank. Theory of Solutions. Appendix. The Inverse: Introduction. Calculating Inverses. Simultaneous Equations. Properties of the Inverse. LU Decomposition. Appendix. Determinants. Expansion by Confactors. Properties of Determinants. Pivotal Condensation. Inversion. Cramer's Rule. Appendix. Eigenvalues and Eigenvectors. Definitions. Eigenvalues. Eigenvectors. Properties of Eigenvalues and Eigenvectors. Linearly Independent Eigenvectors. Power Methods. Real Inner Products. Introduction. Orthonormal Vectors. Projections and QR?Decompostions. The QR?Algorithm. Least*b1Squares. Matrix Calculus. Well-Defined Functions. Cayley-Hamilton Theorem. Polynomials of Matrices--Distinct Eigenvalues. Polynomials of Matrices--General Case. Fuctions of a Matrix. The Function eAt. Complex Eigenvalues. Properties of eA. Derivatives of a Matrix. Appendix. Linear Differential Equations. Fundamental Form. Reduction of an nth Order Equation. Reduction of a System. Solutions of Systems with Constant Coefficients. Solutions of Systems--General Case. Appendix. Jordan Canonical Forms. Similar Matrices. Diagonalizable Matrices. Functions of Matrices--Diagonalizable Matrices. Generalized Eigenvectors. Chains. Canonical Basis. Jordan Canonical Forms. Functions of Matrices--General Case. The Function eAt. Appendix. Special Matrices. Complex Inner Product. Self-Adjoint Matrices. Real Symmetric Matrices. Orthogonal Matrices. Hermitian Matrices. Unitary Matrices. Summary. Positive Definite Matrices. Answers and Hints to Selected Problems. Index.