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Description
  • V práci je popsán algoritmus pro řešení variačních nerovnic metodou rozložení oblasti typu FETI a je dokázána jeho numerická škálovatelnost. (cs)
  • The FETI method with a natural coarse grid is combined with recently proposed optimal algorithms for the solution of bound and/or equality constrained quadratic programming problems in order to develop a scalable solver for elliptic boundary variational inequalities such as those describing equilibrium of a system of bodies in mutual contact. A discretized model problem is first reduced by the duality theory of convex optimization to the quadratic programming problem with bound and equality constraints. The latter is then modified by means of orthogonal projectors to the natural coarse grid introduced by Farhat, Mandel and Roux. Finally the classical results on linear scalability for linear problems are extended to boundary variational inequalities. The results are validated by numerical experiments. The experiments also confirm that the algorithm enjoys the same parallel scalability as its linear counterpart.
  • The FETI method with a natural coarse grid is combined with recently proposed optimal algorithms for the solution of bound and/or equality constrained quadratic programming problems in order to develop a scalable solver for elliptic boundary variational inequalities such as those describing equilibrium of a system of bodies in mutual contact. A discretized model problem is first reduced by the duality theory of convex optimization to the quadratic programming problem with bound and equality constraints. The latter is then modified by means of orthogonal projectors to the natural coarse grid introduced by Farhat, Mandel and Roux. Finally the classical results on linear scalability for linear problems are extended to boundary variational inequalities. The results are validated by numerical experiments. The experiments also confirm that the algorithm enjoys the same parallel scalability as its linear counterpart. (en)
Title
  • Theoretically supported scalable FETI for numerical solution of variational inequalities
  • Teoreticky odůvodněný škálovatelný FETI algoritmus pro numerické řešení variačních nerovnic (cs)
  • Theoretically supported scalable FETI for numerical solution of variational inequalities (en)
skos:prefLabel
  • Theoretically supported scalable FETI for numerical solution of variational inequalities
  • Teoreticky odůvodněný škálovatelný FETI algoritmus pro numerické řešení variačních nerovnic (cs)
  • Theoretically supported scalable FETI for numerical solution of variational inequalities (en)
skos:notation
  • RIV/61989100:27240/07:00014976!RIV08-AV0-27240___
http://linked.open.../vavai/riv/strany
  • 500-513
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400300415), P(GA101/04/1145), Z(MSM6198910027)
http://linked.open...iv/cisloPeriodika
  • 45
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 455003
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/07:00014976
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Domain decomposition; variational inequality; scalability; parallel algorithms; FETI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [066A035EEA4C]
http://linked.open...i/riv/nazevZdroje
  • SIAM Journal on Numerical Analysis
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2
http://linked.open...iv/tvurceVysledku
  • Dostál, Zdeněk
  • Horák, David
http://linked.open...n/vavai/riv/zamer
issn
  • 0036-1429
number of pages
http://localhost/t...ganizacniJednotka
  • 27240
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