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  • We develop a general convergence theory for the generalized minimal residual method preconditioned by inner iterations for solving least squares problems. The inner iterations are performed by stationary iterative methods. We also present theoretical justifications for using specific inner iterations such as the Jacobi and SOR-type methods. The theory improves previous work [K. Morikuni and K. Hayami, SIAM J. Matrix Anal. Appl., 34 (2013), pp. 1--22], particularly in the rank-deficient case. We also characterize the spectrum of the preconditioned coefficient matrix by the spectral radius of the iteration matrix for the inner iterations and give a convergence bound for the proposed methods. Finally, numerical experiments show that the proposed methods are more robust and efficient compared to previous methods for some rank-deficient problems.
  • We develop a general convergence theory for the generalized minimal residual method preconditioned by inner iterations for solving least squares problems. The inner iterations are performed by stationary iterative methods. We also present theoretical justifications for using specific inner iterations such as the Jacobi and SOR-type methods. The theory improves previous work [K. Morikuni and K. Hayami, SIAM J. Matrix Anal. Appl., 34 (2013), pp. 1--22], particularly in the rank-deficient case. We also characterize the spectrum of the preconditioned coefficient matrix by the spectral radius of the iteration matrix for the inner iterations and give a convergence bound for the proposed methods. Finally, numerical experiments show that the proposed methods are more robust and efficient compared to previous methods for some rank-deficient problems. (en)
Title
  • Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems
  • Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems (en)
skos:prefLabel
  • Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems
  • Convergence of Inner-Iteration GMRES Methods for Rank-Deficient Least Squares Problems (en)
skos:notation
  • RIV/67985807:_____/15:00438625!RIV15-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Morikuni, Keiichi
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 85
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/15:00438625
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • least squares problem; iterative methods; preconditioner; inner-outer iteration; GMRES method; stationary iterative method; rank-deficient problem (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [9C1E20C22713]
http://linked.open...i/riv/nazevZdroje
  • SIAM Journal on Matrix Analysis and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 36
http://linked.open...iv/tvurceVysledku
  • Hayami, K.
  • Morikuni, Keiichi
issn
  • 0895-4798
number of pages
http://bibframe.org/vocab/doi
  • 10.1137/130946009
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