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Schaum's Outline of Matrix Operations

Schaum's Outline of Matrix Operations - 89 edition

ISBN13: 978-0070079786

Cover of Schaum
ISBN13: 978-0070079786
ISBN10: 0070079781
Cover type:
Edition/Copyright: 89
Publisher: McGraw-Hill Publishing Company
Published: 1989
International: No

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Schaum's Outline of Matrix Operations - 89 edition

ISBN13: 978-0070079786

Schaum and Richard Bronson

ISBN13: 978-0070079786
ISBN10: 0070079781
Cover type:
Edition/Copyright: 89
Publisher: McGraw-Hill Publishing Company

Published: 1989
International: No
Summary

Schaum's Outline of Matrix Operations Theory is a modern version of the successful Schaum's Outline of Matrices by Ayres. It includes numerical methods of obtaining eigenvalues and for solving sets of linear equations, generalized eigenvectors, matrix norms, functions of matrices, and pseudoinverses. Over the last twenty years, matrix methodology has changed greatly to take advantage of the computer and this Outline will reflect those advances. 363 Solved Problems are included. Additionally, this book includes hundreds of supplementary problems.

Schaum's Outlines contains the worked-out solutions to hundreds of problems covered in any college course. This guide covers key concepts in ,Basic Operations , Simultaneous Linear Equations , Square Matrices , Matrix Inversion , Determinants , Vectors , Eigenvalues and Eigenvectors , Functions of Matrices , Canonical Bases , Similarity , Inner Products , Norms , Hermitian Matrices , Positive Definite Matrices , Unitary Transformations , Quadratic Forms and Congruence , Nonnegative Matrices , Patterned Matrices , Power Methods for Locating Real Eigenvalues , The QR Algorithm , Generalized Inverses , and Answers to Supplementary Problems

Table of Contents

Basic Operations.
Simultaneous Linear Equations.
Square Matrices.
Matrix Inversion.
Determinants.
Vectors.
Eigenvalues and Eigenvectors.
Functions of Matrices.
Canonical Bases.
Similarity.
Inner Products.
Norms.
Hermitian Matrices.
Positive Definite Matrices.
Unitary Transformations.
Quadratic Forms and Congruence.
Nonnegative Matrices.
Patterned Matrices.
Power Methods for Locating Real Eigenvalues.
The OR Algorithm.
Generalized Inverses.

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