Parallel variable distribution for total least squares | Zendy

Guo Hongbin | Zendy; Renaut Rosemary A. | Zendy

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Parallel variable distribution for total least squares

Author(s) -

Guo Hongbin,

Renaut Rosemary A.

Publication year - 2005

Publication title -

numerical linear algebra with applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.02

H-Index - 53

eISSN - 1099-1506

pISSN - 1070-5325

DOI - 10.1002/nla.426

Subject(s) - mathematics , domain decomposition methods , variable (mathematics) , least squares function approximation , distribution (mathematics) , algorithm , domain (mathematical analysis) , decomposition , parallel algorithm , mathematical optimization , statistics , finite element method , mathematical analysis , ecology , physics , estimator , biology , thermodynamics

A novel parallel method for determining an approximate total least squares (TLS) solution is introduced. Based on domain decomposition, the global TLS problem is partitioned into several dependent TLS subproblems. A convergent algorithm using the parallel variable distribution technique ( SIAM J. Optim. 1994; 4 :815–832) is presented. Numerical results support the development and analysis of the algorithms. Copyright © 2005 John Wiley & Sons, Ltd.

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