**Author**: Peter Lancaster

**Publisher:** Academic Press

**ISBN:** 0124355609

**Category:** Computers

**Page:** 570

**View:** 341

**Author**: Peter Lancaster

**Publisher:** Academic Press

**ISBN:** 0124355609

**Category:** Computers

**Page:** 570

**View:** 341

Language: en

Pages: 570

Pages: 570

Matrix algebra; Determinants, inverse matrices, and rank; Linear, euclidean, and unitary spaces; Linear transformations and matrices; Linear transformations in unitary spaces and simple matrices; The jordan canonical form: a geometric approach; Matrix polynomials and normal forms; The variational method; Functions of matrices; Norms and bounds for eigenvalues; Perturbation theory; Linear

Language: en

Pages: 111

Pages: 111

Matric algebra is a mathematical abstraction underlying many seemingly diverse theories. Thus bilinear and quadratic forms, linear associative algebra (hypercomplex systems), linear homogeneous trans formations and linear vector functions are various manifestations of matric algebra. Other branches of mathematics as number theory, differential and integral equations, continued fractions, projective geometry

Language: en

Pages: 317

Pages: 317

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,

Language: en

Pages: 276

Pages: 276

This is an excellent and unusual textbook on the application of the theory of matrices. ... The text includes many chapters of interest to applied mathematicians. --Zentralblatt MATH This book is part of a two-volume set (the first volume is published by the AMS as volume 131 in the same

Language: en

Pages: 272

Pages: 272

This text presents selected aspects of matrix theory that are most useful in developing computational methods for solving linear equations and finding characteristic roots. Topics include norms, bounds and convergence; localization theorems; more. 1964 edition.