## Abstract

Gaussian elimination plays a fundamental role in solving a system *A***x** = **b** of linear equations. In general, instead of solving the given system, one could try to solve the normal equation A^{ T } *A***x** = *A*^{ T }**b**, whose solutions are the true solutions or the least squares solutions depending on whether or not the given system is consistent. Note that the matrix *A*^{ T } *A* is a symmetric square matrix, and so one may assume that the matrix in the system is a square matrix. For this kind of reason, we focus on a diagonal matrix or a linear transformation from a vector space to itself throughout this chapter.

## Keywords

General Solution Recurrence Relation Characteristic Polynomial Linear Differential Equation Companion Matrix
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## Copyright information

© Springer Science+Business Media New York 2004