USSOR methods for solving the rank deficient linear least squares problem

DOI10.1007/s10092-016-0178-zzbMath1372.65116OpenAlexW2329752938MaRDI QIDQ2363674

Yong-Zhong Song, Juan Song

Publication date: 25 July 2017

Published in: Calcolo (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10092-016-0178-z

zbMATH Keywords

linear systemsemiconvergenceleast squares solution of minimal normUSSOR method

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Iterative numerical methods for linear systems (65F10)

Related Items (1)

A note on the optimal parameters of USSOR method for solving linear least squares problems

Cites Work

• Successive overrelaxation methods for solving the rank deficient linear least squares problem
• A modified symmetric successive overrelaxation method for augmented systems
• Determination of the optimal value of relaxation parameter in symmetric SOR method for rectangular coefficient matrices
• A necessary and sufficient condition for semiconvergence and optimal parameter of the SSOR method for solving the rank deficient linear least squares problem
• Symmetric SOR method for augmented systems
• On convergence of the symmetric modified successive overrelaxation method for 2-cyclic coefficient matrices
• AOR iterative methods for rank deficient least squares problems
• Accelerate overrelaxation methods for rank deficient linear systems
• Symmetric block-SOR methods for rank-deficient least squares problems
• Symmetric successive overrelaxation methods for rank deficient linear systems
• Symmetric successive overrelaxation methods for solving the rank deficient linear least squares problem
• Inverses of Rank Invariant Powers of a Matrix
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