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Mesh independence and fast local convergence of a primal-dual active-set method for mixed control-state constrained elliptic control problems

Published online by Cambridge University Press:  17 February 2009

M. Hintermüller
Affiliation:
Department of Mathematics and Scientific Computing University of GrazHeinrichstr 36 A-8010 Graz Austriamichael.hintermueller@uni-graz.at.
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A class of mixed control-state constrained optimal control problems for elliptic partial differential equations arising, for example, in Lavrentiev-type regularized state constrained optimal control is considered. Its numerical solution is obtained via a primal-dual activeset method, which is equivalent to a class of semi-smooth Newton methods. The locally superlinear convergence of the active-set method in function space is established, and its mesh independence is proved. The paper contains a report on numerical test runs including a comparison with a short-step path-following interior-point method and a coarse-to-fine mesh sweep, that is, a nested iteration technique, for accelerating the overall solution process. Finally, convergence and regularity properties of the regularized problems with respect to a vanishing Lavrentiev parameter are considered. 2000 Mathematics subject classification: primary 65K05; secondary 90C33.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2007

References

[1] Adams, R. A., Sobolev spaces(Academic Press, New York-London, 1975).Google Scholar
[2] Allgower, E. L., Bohmer, K., Potra, F. A. and Rheinboldt, W. C., “A mesh-independence principle for operator equations and their discretizations”, SIAM J Numer Anal 23 (1986) 160169.CrossRefGoogle Scholar
[3] Alt, W., Discretization and mesh-independence of Newton's method for generalized equations, Volume 195 of Lecture Notes in Pure andAppl. Math. (Dekker, New York, 1998) 130.Google Scholar
[4] Arada, N., Casas, E. and Troltzsch, F., “Error estimates for the numerical approximation of a semilinear elliptic control problem”, Comput Optim Appl 23 (2002) 201229.CrossRefGoogle Scholar
[5] Bank, R. E., Gill, P. E. and Marcia, R. F., Interior methods for a class of elliptic variational inequalities, Volume 30 of Led. Notes Comput. Sci. Eng. (Springer, Berlin, 2003) 218235.Google Scholar
[6] Bergounioux, M., Haddou, M., Hintermiiller, M. and Kunisch, K., “A comparison of a Moreau- Yosida-based active set strategy and interior point methods for constrained optimal control problems”, SIAM J Optim. 11 (2000) 495521.CrossRefGoogle Scholar
[7] Bergounioux, M. and Kunisch, K., “Primal-dual strategy for state-constrained optimal control problems”, Comput Optim Appl. 22 (2002) 193224.CrossRefGoogle Scholar
[8] Bergounioux, M. and Kunisch, K., “On the structure of Lagrange multipliers for state-constrained optimal control problems”, Systems Control Lett. 48 (2003) 169176.CrossRefGoogle Scholar
[9] Casas, E., “Control of an elliptic problem with pointwise state constraints”, SIAM J Control Optim 24 (1986) 13091318.CrossRefGoogle Scholar
[10] Chen, X., Nashed, Z. and Qi, L., “Smoothing methods and semismooth methods for nondifferentiable operator equations”, SIAMJ Numer Anal (electronic) 38 (2000) 12001216.CrossRefGoogle Scholar
[11] Gilbarg, D. and Trudinger, N. S., Elliptic Partial Differential Equations of Second Order, Volume 224 of Crundlehren der mathematischen Wissenschaften (Springer Verlag, Berlin, 1977).CrossRefGoogle Scholar
[12] Hintermuller, M., Ito, K. and Kunisch, K., “The primal-dual active set strategy as a semismooth Newton method”, SIAM J Optim. 13 (2003) 865888.CrossRefGoogle Scholar
[13] Hintermuller, M. and Kunisch, K., “Feasible and non-interior path-following in constrained minimization with low multiplier regularity”, SIAM J Control Optim. 45 (2006) 11981221.CrossRefGoogle Scholar
[14] Hintermuller, M. and Ulbrich, M., “A mesh-independence result for semismooth Newton methods”, Math Program. 101 (2004) 151184.CrossRefGoogle Scholar
[15] Kummer, B., “Generalized Newton and NCP methods: convergence, regularity, actions”, Discuss Math Differ Incl. 20 (2000) 209244.CrossRefGoogle Scholar
[16] Luenberger, D. G., Optimization by vector space methods (John Wiley ' Sons Inc., New York, 1969).Google Scholar
[17] Meyer, C., Priifert, U. and Troltzsch, F., “On two numerical methods for state-constrained elliptic control problems”, Technical Report 5–2005, Department of Mathematics, TU Berlin, 2005.Google Scholar
[18] Mifflin, R., “Semismooth and semiconvex functions in constrained optimization”, SIAM J Control Optimization 15 (1977) 959972.CrossRefGoogle Scholar
[19] Priifert, U., Troltzsch, F. and Weiser, M., “The convergence of an interior point method for an elliptic control problem with mixed control-state constraints”, Technical report, TU Berlin, 2004, Preprint 36–2004.Google Scholar
[20] Qi, L. and Sun, J., “A nonsmooth version of Newton's method”, Math Programming 58 (3, Ser. A) (1993) 353367.CrossRefGoogle Scholar
[21] Robinson, S. M., “Generalized equations and their solutions. I. Basic theory. Point-to-set maps and mathematical programming”, Math Programming Stud. 10 (1979) 128141.CrossRefGoogle Scholar
[22] Robinson, S. M., “Strongly regular generalized equations”, Math Open Res. 5 (1980) 4362.CrossRefGoogle Scholar
[23] Robinson, S. M., “Generalized equations and their solutions. II. Applications to nonlinear programming. Optimality and stability in mathematical programming.”, Math Programming Stud. 19 (1982) 200221.CrossRefGoogle Scholar
[24] Troltzsch, F., Optimale Steuerung partieller Differentialgleichungen (Vieweg, Wiesbaden, Germany, 2005).CrossRefGoogle Scholar
[25] Wright, S. J., Primal-dual Interior-Point Methods (Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 1997).CrossRefGoogle Scholar