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Adaptive finite element methods for mixed control-state constrained optimal control problems for elliptic boundary value problems

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  • R. Hoppe
  • M. Kieweg

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  • R. Hoppe & M. Kieweg, 2010. "Adaptive finite element methods for mixed control-state constrained optimal control problems for elliptic boundary value problems," Computational Optimization and Applications, Springer, vol. 46(3), pages 511-533, July.
    • Handle: RePEc:spr:coopap:v:46:y:2010:i:3:p:511-533
    DOI: 10.1007/s10589-008-9195-4
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    References listed on IDEAS

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    1. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
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    Cited by:

    1. A. Rösch & K. G. Siebert & S. Steinig, 2017. "Reliable a posteriori error estimation for state-constrained optimal control," Computational Optimization and Applications, Springer, vol. 68(1), pages 121-162, September.
    2. Jianwei Zhou & Danping Yang, 2015. "Legendre–Galerkin spectral methods for optimal control problems with integral constraint for state in one dimension," Computational Optimization and Applications, Springer, vol. 61(1), pages 135-158, May.
    3. Hamdullah Yücel & Peter Benner, 2015. "Adaptive discontinuous Galerkin methods for state constrained optimal control problems governed by convection diffusion equations," Computational Optimization and Applications, Springer, vol. 62(1), pages 291-321, September.
    4. Bui Trong Kien & Arnd Rösch & Nguyen Hai Son & Nguyen Van Tuyen, 2023. "FEM for Semilinear Elliptic Optimal Control with Nonlinear and Mixed Constraints," Journal of Optimization Theory and Applications, Springer, vol. 197(1), pages 130-173, April.

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