Block Updating/Downdating Algorithms for Regularised Least Squares Problems and Applications to Linear Discriminant Analysis

Block Updating/Downdating Algorithms for Regularised Least Squares Problems and Applications to Linear Discriminant Analysis

Year:    2020

Author:    Wei Wei, Hua Dai, Weitai Liang

East Asian Journal on Applied Mathematics, Vol. 10 (2020), Iss. 4 : pp. 679–697

Abstract

Block updating and downdating algorithms for regularised least squares problems with multiple right-hand sides based on the economical $QR$ decomposition are proposed. They exploit the initial coefficient matrix structure and use existing solution to establish a solution of the amended problem. Such an approach demonstrates its efficiency in terms of the memory required and the computational cost. Applications to linear discriminant analysis are considered and numerical experiments involving real-world databases show the efficiency of the methods.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.171219.220220

East Asian Journal on Applied Mathematics, Vol. 10 (2020), Iss. 4 : pp. 679–697

Published online:    2020-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    19

Keywords:    Block updating block downdating regularised least squares problem economical QR decomposition linear discriminant analysis.

Author Details

Wei Wei

Hua Dai

Weitai Liang