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  • Je uvedena nová metoda pro účinné řešení třídy konvexních semidefinitních programů. Tato metoda rozšiřuje sekvenční konvexní programování (SCP) na optimalizační problémy s maticovými proměnnými. Základní myšlenkou metody je aproximovat původní optimalizační problém posloupností subproblémů, ve kterých jsou nelineární funkce (v proměnných maticích) aproximovány konvexními blokově separabilními funkcemi. V subproblémech jsou semidefinitní programy s příznivou strukturou, které mohou být účinně vyřešeny stávajícím SDP softwarem. Je ukázáno, že metoda je globálně konvergentní. (cs)
  • A new method for the efficient solution of a class of convex semidefinite programming problems is introduced. The method extends the sequential convex programming (SCP) concept to optimization problems with matrix variables. The basic idea of the new method is to approximate the original optimization problem by a sequence of subproblems, in which nonlinear functions (defined in matrix variables) are approximated by block separable convex functions. The subproblems are semidefinite programs with a favorable structure which can be efficiently solved by existing SDP software. The new method is shown to be globally convergent. The article is concluded by a series of numerical experiments with free material optimization problems demonstrating the effectiveness of the generalized SCP approach.
  • A new method for the efficient solution of a class of convex semidefinite programming problems is introduced. The method extends the sequential convex programming (SCP) concept to optimization problems with matrix variables. The basic idea of the new method is to approximate the original optimization problem by a sequence of subproblems, in which nonlinear functions (defined in matrix variables) are approximated by block separable convex functions. The subproblems are semidefinite programs with a favorable structure which can be efficiently solved by existing SDP software. The new method is shown to be globally convergent. The article is concluded by a series of numerical experiments with free material optimization problems demonstrating the effectiveness of the generalized SCP approach. (en)
Title
  • A Sequential Convex Semidefinite Programming Algorithm for Multiple-Load Free Material Optimization
  • A Sequential Convex Semidefinite Programming Algorithm for Multiple-Load Free Material Optimization (en)
  • Sekvenční algoritmus pro konvexní semidefinití programování aplikovaný na volnou optimalizaci materiálu (cs)
skos:prefLabel
  • A Sequential Convex Semidefinite Programming Algorithm for Multiple-Load Free Material Optimization
  • A Sequential Convex Semidefinite Programming Algorithm for Multiple-Load Free Material Optimization (en)
  • Sekvenční algoritmus pro konvexní semidefinití programování aplikovaný na volnou optimalizaci materiálu (cs)
skos:notation
  • RIV/67985556:_____/09:00323060!RIV09-AV0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA1075402), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 301573
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/09:00323060
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • structural optimization; material optimization; semidefinite programming; sequential convex programming (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [B19FACF2A2C1]
http://linked.open...i/riv/nazevZdroje
  • SIAM Journal on 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
  • 20
http://linked.open...iv/tvurceVysledku
  • Kočvara, Michal
  • Stingl, M.
  • Leugering, G.
http://linked.open...n/vavai/riv/zamer
issn
  • 1052-6234
number of pages
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