You are working with the text-only light edition of "H.Lohninger: Teach/Me Data Analysis, Springer-Verlag, Berlin-New York-Tokyo, 1999. ISBN 3-540-14743-8". Click here for further information.

Table of Contents Math Background Matrices Matrix Algebra - Introduction	Index
See also: matrix multiplication, fundamentals

Matrix Algebra
Introduction

Matrix algebra is especially useful and important when dealing with multivariate data. Most of the procedures to analyse and interpret multivariate data can be formulated as matrix operations. There are dedicated programs available, such as MatLabä , which support the handling of matrices and calculations with them.

Here is a list of the most important matrix operations:
 

• basic definitions
• transposed matrix
• addition, subtraction
• multiplication
• inverse matrix
• pseudo-inverse matrix
• determinant
• eigenvectors and eigenvalues

Last Update: 2005-Jän-25