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  • A numerical method for a (possibly non-convex) scalar variational problem is proposed. This method allows for computation of the Young-measure solution of the generalized relaxed version of the original problem and applies to those cases with polynomial functionals. The Young measures involved in the relaxed problem can be represented by their algebraic moments and also a finite-element mesh is used. Eventually, thus obtained convex semidefinite program can be solved by efficient specialized mathematical-programming solvers. This method is justified by convergence analysis and eventually tested on a 2-dimensional benchmark numerical example. It serves as an example how convex compactification can efficiently be used numerically if enough ``small'', i.e. enough coarse.
  • A numerical method for a (possibly non-convex) scalar variational problem is proposed. This method allows for computation of the Young-measure solution of the generalized relaxed version of the original problem and applies to those cases with polynomial functionals. The Young measures involved in the relaxed problem can be represented by their algebraic moments and also a finite-element mesh is used. Eventually, thus obtained convex semidefinite program can be solved by efficient specialized mathematical-programming solvers. This method is justified by convergence analysis and eventually tested on a 2-dimensional benchmark numerical example. It serves as an example how convex compactification can efficiently be used numerically if enough ``small'', i.e. enough coarse. (en)
Title
  • Coarse-convex-compactification approach to numerical solution of nonconvex variational problems
  • Coarse-convex-compactification approach to numerical solution of nonconvex variational problems (en)
skos:prefLabel
  • Coarse-convex-compactification approach to numerical solution of nonconvex variational problems
  • Coarse-convex-compactification approach to numerical solution of nonconvex variational problems (en)
skos:notation
  • RIV/61388998:_____/10:00351985!RIV11-AV0-61388998
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA1075402), P(LC06052), Z(AV0Z20760514), Z(MSM0021620839)
http://linked.open...iv/cisloPeriodika
  • 4
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
  • 251084
http://linked.open...ai/riv/idVysledku
  • RIV/61388998:_____/10:00351985
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • convex approximations; method of moments; relaxed variational problems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [DEC465AC1D47]
http://linked.open...i/riv/nazevZdroje
  • Numerical Functional Analysis and Optimization
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
  • 31
http://linked.open...iv/tvurceVysledku
  • Roubíček, Tomáš
  • Meziat, R.
  • Patino, D.
http://linked.open...ain/vavai/riv/wos
  • 000278663200004
http://linked.open...n/vavai/riv/zamer
issn
  • 0163-0563
number of pages
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