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Description
  • Optimalizace a inverzní úlohy pro parciální diferenciální rovnice jsou často formulovány jako úlohy nelineárního programování s omezeními pomocí Lagrangeova formalismu. Nelinearity se řeší sekvenčním kvadratickým programováním. Numerické řešení výsledných sedlo-bodových soustav se pak opírá o iterační metodu. V tomto článku aplikujeme metodu semi-monotónních rozšířených Lagrangiánů, která byla nedávno navržena a analyzována druhým z autorů, a to pro kvadratické programování s rovnostními a jednoduchými omezeními. Tyto úlohy vyvstávají při řešení úloh optimálního řízení a identifikace parametrů. Pomocí předpodmínění multigridem primárního i duálního skalárního součinu a Hessiánu lze ukázat, že algoritmus konverguje v O(1) násobeních matice krát vektor. Numerické výsledky ukazujeme pro segmentaci obrazu a 2-dimenzionální magnetostatiku. (cs)
  • Optimization and inverse problems governed by partial differential equations are often formulated as constrained nonlinear programming problems via the Lagrange formalism. The nonlinearity is treated using the sequential quadratic programming. A numerical solution then hinges on an efficient iterative method for the resulting saddle--point systems. In this paper we apply a semi--monotonic augmented Lagrangians method, recently proposed and analyzed by the second author, for equality and simple--bound constrained quadratic programming subproblems arising from optimal control and parameter identification. Provided multigrid preconditioning of primal and dual space inner products and of the Hessian the algorithm converges at $O(1)$ matrix--vector multiplications. Numerical results are given for applications in image segmentation and 2--dimensional magnetostatics discretized using lowest--order Lagrange finite elements.
  • Optimization and inverse problems governed by partial differential equations are often formulated as constrained nonlinear programming problems via the Lagrange formalism. The nonlinearity is treated using the sequential quadratic programming. A numerical solution then hinges on an efficient iterative method for the resulting saddle--point systems. In this paper we apply a semi--monotonic augmented Lagrangians method, recently proposed and analyzed by the second author, for equality and simple--bound constrained quadratic programming subproblems arising from optimal control and parameter identification. Provided multigrid preconditioning of primal and dual space inner products and of the Hessian the algorithm converges at $O(1)$ matrix--vector multiplications. Numerical results are given for applications in image segmentation and 2--dimensional magnetostatics discretized using lowest--order Lagrange finite elements. (en)
Title
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification (en)
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification (cs)
skos:prefLabel
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification (en)
  • Semi-monotonic augmented Lagrangians for optimal control and parameter identification (cs)
skos:notation
  • RIV/61989100:27240/08:00019177!RIV09-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400300415), P(GP201/05/P008), Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat
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  • 394277
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/08:00019177
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  • constrained quadratic programming; augmented Lagrangians; multigrid; optimal control; parameter identification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [24D060216E2C]
http://linked.open...v/mistoKonaniAkce
  • Graz, Rakousko
http://linked.open...i/riv/mistoVydani
  • Wien
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  • Numerical Mathematics and Advanced Applications - ENUMATH 2007
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dostál, Zdeněk
  • Lukáš, Dalibor
http://linked.open...vavai/riv/typAkce
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-69776-3
http://localhost/t...ganizacniJednotka
  • 27240
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