Properties of projection and penalty methods for discretized elliptic control problems

Andrzej Cegielski; Christian Grossmann

Discussiones Mathematicae, Differential Inclusions, Control and Optimization (2007)

  • Volume: 27, Issue: 1, page 23-41
  • ISSN: 1509-9407

Abstract

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In this paper, properties of projection and penalty methods are studied in connection with control problems and their discretizations. In particular, the convergence of an interior-exterior penalty method applied to simple state constraints as well as the contraction behavior of projection mappings are analyzed. In this study, the focus is on the application of these methods to discretized control problem.

How to cite

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Andrzej Cegielski, and Christian Grossmann. "Properties of projection and penalty methods for discretized elliptic control problems." Discussiones Mathematicae, Differential Inclusions, Control and Optimization 27.1 (2007): 23-41. <http://eudml.org/doc/271143>.

@article{AndrzejCegielski2007,
abstract = {In this paper, properties of projection and penalty methods are studied in connection with control problems and their discretizations. In particular, the convergence of an interior-exterior penalty method applied to simple state constraints as well as the contraction behavior of projection mappings are analyzed. In this study, the focus is on the application of these methods to discretized control problem.},
author = {Andrzej Cegielski, Christian Grossmann},
journal = {Discussiones Mathematicae, Differential Inclusions, Control and Optimization},
keywords = {convex programming; control of PDE; projection methods; penalty methods},
language = {eng},
number = {1},
pages = {23-41},
title = {Properties of projection and penalty methods for discretized elliptic control problems},
url = {http://eudml.org/doc/271143},
volume = {27},
year = {2007},
}

TY - JOUR
AU - Andrzej Cegielski
AU - Christian Grossmann
TI - Properties of projection and penalty methods for discretized elliptic control problems
JO - Discussiones Mathematicae, Differential Inclusions, Control and Optimization
PY - 2007
VL - 27
IS - 1
SP - 23
EP - 41
AB - In this paper, properties of projection and penalty methods are studied in connection with control problems and their discretizations. In particular, the convergence of an interior-exterior penalty method applied to simple state constraints as well as the contraction behavior of projection mappings are analyzed. In this study, the focus is on the application of these methods to discretized control problem.
LA - eng
KW - convex programming; control of PDE; projection methods; penalty methods
UR - http://eudml.org/doc/271143
ER -

References

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  1. [1] N. Arada, E. Casas and F. Tröltzsch, Error estimates for the numerical approximation of a semilinear elliptic control problem, Comput. Optim. Appl. 23 (2002), 201-229. Zbl1033.65044
  2. [2] E. Casas and F. Tröltzsch, Error estimates for linear-quadratic elliptic control problems, in: Barbu, V. (ed.) et al., Analysis and optimization of differential systems. IFIP TC7/WG 7.2 International Working Conference. Kluwer, Boston (2003), 89-100. Zbl1027.65088
  3. [3] A. Cegielski, A method of projection onto an acute cone with level control in convex minimization, Math. Programming 85 (1999), 469-490. Zbl0973.90057
  4. [4] K. Deckelnick and M. Hinze, Convergence of a finite element approximation to a state constrained elliptic control problem, Preprint MATH-NM-01-2006, TU Dresden 2006. Zbl1154.65055
  5. [5] K. Goebel and W.A. Kirk, Topics in Metric Fixed Point Theory, Cambrigde Univ. Press, Cambridge 1990. Zbl0708.47031
  6. [6] Ch. Grossmann and H.-G. Roos, Numerische Behandlung partieller Differentialgleichungen (3-rd edition), B.G. Teubner, Stuttgart 2005. 
  7. [7] M. Hinze, A variational discretization concept in control constrained optimization: The linear-quadratic case, Comput. Optim. Appl. 30 (2005), 45-61. Zbl1074.65069
  8. [8] A.A. Kaplan, Convex programming algorithms using the smoothing of exact penalty functions, (Russian), Sib. Mat. Zh. 23 (1982), 53-64. Zbl0498.90066
  9. [9] S. Kim, H. Ahn and S.-C. Cho, Variable target value subgradient method, Math. Programming 49 (1991), 359-369. Zbl0825.90754
  10. [10] K.C. Kiwiel, The efficiency of subgradient projection methods for convex optimization, part I: General level methods, SIAM J. Control Optim. 34 (1996), 660-676. Zbl0846.90084
  11. [11] A. Rösch, Error estimates for linear-quadratic control problems with control constraints, Optim. Methods Softw. 21 (2006), 121-134. Zbl1085.49042
  12. [12] F. Tröltzsch, Optimale Steuerung partieller Differentialgleichungen. Theorie, Verfahren und Anwendungen, Vieweg, Wiesbaden 2005. 
  13. [13] M. Weiser, T. Gänzler and A. Schiela, A control reduced primal interior point method for PDE constrained optimization, ZIB Report 04-38, Zuse-Zentrum Berlin 2004. Zbl1190.90278
  14. [14] E. Zeidler, Nonlinear Functional Analysis and Its Applications. II/A: Linear Monotone Operators, Springer, New York 1990. Zbl0684.47028

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