Numerical Methods for the Maxnear Criterion of Multiple-Sets Canonical Analysis

Numerical Methods for the Maxnear Criterion of Multiple-Sets Canonical Analysis

Year:    2015

Author:    Xin-Guo Liu, Jian-Ping You

Journal of Mathematical Study, Vol. 48 (2015), Iss. 1 : pp. 66–78

Abstract

This paper deals with numerical methods for the Maxnear criterion of multiple-sets canonical analysis. Optimality conditions are derived. Upper and lower bounds of the optimal objective function value are presented. Two iterative methods are proposed. One is an alternating variable method, and the other called Gauss-Seidel method is an inexact version of the alternating variable method. Convergence of these methods are analyzed. A starting point strategy is suggested for both methods. Numerical results are presented to demonstrate the efficiency of these methods and the starting point strategy.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jms.v48n1.15.05

Journal of Mathematical Study, Vol. 48 (2015), Iss. 1 : pp. 66–78

Published online:    2015-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    13

Keywords:    Multiple-sets canonical analysis Maxnear criterion alternating variable method starting point strategy.

Author Details

Xin-Guo Liu

Jian-Ping You