Parallel variable distribution for total least squares

Hongbin Guo, Rosemary Renaut

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)859-876
Number of pages18
JournalNumerical Linear Algebra with Applications
Issue number9
StatePublished - Nov 2005


  • Errors-in-variables regression
  • Total least squares
  • Variable distribution

ASJC Scopus subject areas

  • Algebra and Number Theory
  • Applied Mathematics


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