Trace Inequalities with Applications to Orthogonal Regression and Matrix Nearness Problems

Ian Coope and Peter Renaud

View Report [PDF - 104 KB]

Abstract

Matrix trace inequalities are finding increased use in many areas such as analysis, where they can be used to generalise several well known classical inequalities, and computational statistics, where they can be applied, for example, to data fitting problems. In this paper we give simple proofs of two useful matrix trace inequalities and provide applications to orthogonal regression and matrix nearness problems.

Back to Research Reports