About: On R-linear convergence of semi-monotonic inexact augmented Lagrangians for saddle point problems     Goto   Sponge   NotDistinct   Permalink

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  • A variant of the inexact augmented Lagrangian algorithm called SMALE (Dostál in Comput. Optim. Appl. 38:47–59, 2007) for the solution of saddle point problems with a positive definite left upper block is studied. The algorithm SMALEM presented here uses a fixed regularization parameter and controls the precision of the solution of auxiliary unconstrained problems by a multiple of the norm of the residual of the second block equation and a constant which is updated in order to enforce increase of the Lagrangian function. A nice feature of SMALE-M inherited from SMALE is its capability to find an approximate solution in a number of iterations that is bounded in terms of the extreme eigenvalues of the left upper block and does not depend on the off-diagonal blocks. Here we prove the R-linear rate of convergence of the outer loop of SMALE-M for any regularization parameter. The theory is illustrated by numerical experiments
  • A variant of the inexact augmented Lagrangian algorithm called SMALE (Dostál in Comput. Optim. Appl. 38:47–59, 2007) for the solution of saddle point problems with a positive definite left upper block is studied. The algorithm SMALEM presented here uses a fixed regularization parameter and controls the precision of the solution of auxiliary unconstrained problems by a multiple of the norm of the residual of the second block equation and a constant which is updated in order to enforce increase of the Lagrangian function. A nice feature of SMALE-M inherited from SMALE is its capability to find an approximate solution in a number of iterations that is bounded in terms of the extreme eigenvalues of the left upper block and does not depend on the off-diagonal blocks. Here we prove the R-linear rate of convergence of the outer loop of SMALE-M for any regularization parameter. The theory is illustrated by numerical experiments (en)
Title
  • On R-linear convergence of semi-monotonic inexact augmented Lagrangians for saddle point problems
  • On R-linear convergence of semi-monotonic inexact augmented Lagrangians for saddle point problems (en)
skos:prefLabel
  • On R-linear convergence of semi-monotonic inexact augmented Lagrangians for saddle point problems
  • On R-linear convergence of semi-monotonic inexact augmented Lagrangians for saddle point problems (en)
skos:notation
  • RIV/61989100:27740/14:86092153!RIV15-MSM-27740___
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(GP101/09/P601), Z(MSM6198910027)
http://linked.open...iv/cisloPeriodika
  • 1
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  • 34364
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  • RIV/61989100:27740/14:86092153
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  • Periodic boundary conditions; Error bounds; Adaptive precision control; Augmented Lagrangians; Equality constraints; s Quadratic programming (en)
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  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [8437C9DFD1E7]
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  • Computational Optimization and Applications
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  • 58
http://linked.open...iv/tvurceVysledku
  • Dostál, Zdeněk
  • Horák, David
  • Vodstrčil, Petr
http://linked.open...ain/vavai/riv/wos
  • 000334524000003
http://linked.open...n/vavai/riv/zamer
issn
  • 0926-6003
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/s10589-013-9611-2
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  • 27740
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