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Implicit optimality criterion for convex SIP problem with box constrained index set

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Abstract

We consider a convex problem of Semi-Infinite Programming (SIP) with a multidimensional index set defined by a finite number of box constraints. In study of this problem we apply the approach suggested in Kostyukova et al. (Int. J. Math. Stat. 13(J08):13–33, 2008) for convex SIP problems with one-dimensional index sets and based on the notions of immobile indices and their immobility orders. For the problem under consideration we formulate optimality conditions that are explicit and have the form of criterion. We compare this criterion with other known optimality conditions for SIP and show its efficiency in the convex case.

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References

  • Abrams R, Kerzner L (1978) A simplified test for optimality. J Optim Theory Appl 25(1):161–170

    Article  Google Scholar 

  • Ben Tal A, Kerzner L, Zlobec S (1980) Optimality conditions for convex semi-infinite programming problems. Nav Res Logist 27(3):413–435

    Article  Google Scholar 

  • Bonnans JF, Shapiro A (2000) Perturbation analysis of optimization problems. Springer, New York

    Google Scholar 

  • Borwein JM, Wolkowicz H (1981) Regularizing the abstract convex program. J Math Anal Appl 83:495–530

    Article  Google Scholar 

  • Borwein JM, Wolkowicz H (1982) Characterizations of optimality without constraint qualification for the abstract convex program. Math Program Stud 19:77–100

    Article  Google Scholar 

  • Charnes A, Cooper WW, Kortanek KO (1969) On the theory of semi-infinite programming and some generalizations of Kuhn–Tucker saddle point theorems for arbitrary convex functions. Nav Res Logist, 16:41–51

    Google Scholar 

  • Fajardo MD, López MA (2006) Some results about the facial geometry of convex semi-infinite systems. Optimization 55(5–6):661–684

    Article  Google Scholar 

  • Goberna MA, López MA (eds) (2001) Semi-infinite programming: recent advances. Kluwer, Dordrecht

    Google Scholar 

  • Goberna MA, Jeyakumar V, López MA (2008) Necessary and sufficient constraint qualifications for systems of infinite convex inequalities. J Nonlinear Anal 68:1184–1194

    Article  Google Scholar 

  • Gruber G, Kruk S, Rendl F, Wolkowicz H (1997) Pre-solving for semidefinite program without constraint qualifications. In: Gruber G et al. (ed) Proceedings of HPOP97, second workshop on high perfomance optimization techniques, Rotterdam, Netherlands

    Google Scholar 

  • Gustafson S-A (1979) On semi-infinite programming in numerical analysis. In: Hettich R (ed) Semi-infinite programming. Lecture notes in control and inf sci, vol 15. Springer, Berlin, pp 137–153

    Chapter  Google Scholar 

  • Hettich R, Jongen HTh (1978) Semi-infinite programming: Conditions of optimality and applications. In: Stoer J (ed) Optimization Techniques, Part 2. Lecture notes in control and information sciences, vol 7, pp 1–11

    Google Scholar 

  • Hettich R, Kortanek KO (1993) Semi-infinite programming: Theory, methods and applications. SIAM Rev 35:380–429

    Article  Google Scholar 

  • Hettich R, Still G (1995) Second order optimality conditions for generalized semi-infinite programming problems. Optimization 34:195–211

    Article  Google Scholar 

  • Jeyakumar V, Lee GM, Dihn N (2003) New sequential Lagrange multiplier conditions characterizing optimality without constraint qualification for convex programs. SIAM J Optim, 14(2):534–547

    Article  Google Scholar 

  • Jongen HTh, Wetterling W, Zwier G (1987) On sufficient conditions for local optimality in semi-infinite programming. Optimization 18:165–178

    Article  Google Scholar 

  • Klatte D (1994) Stable local minimizers in semi-infinite optimization: Regularity and second-order conditions. J Comput Appl Math 56(1–2):137–157

    Article  Google Scholar 

  • Kortanek KO, Medvedev VG (2005) Semi-infinite programming and new applications in finance. In: Floudas C, Pardalos P (eds) Encyclopedia of optimization. Kluwer Academic, Norwell

    Google Scholar 

  • Kostyukova OI, Tchemisova TV (2010a) Sufficient optimality conditions for convex semi-infinite programming. Optim Methods Softw, 25(2):279–297

    Article  Google Scholar 

  • Kostyukova OI, Tchemisova TV (2010b) Optimality criteria without constraint qualification for linear semidefinite problems, accepted to publication in the special issue of JMS “Algebraic Techniques in Graph Theory and Optimization”

  • Kostyukova OI, Tchemisova TV, Yermalinskaya SA (2008) On the algorithm of determination of immobile indices for convex SIP problems. Int J Math Stat, 13(J08):13–33

    Google Scholar 

  • Li W, Nahak Ch, Singer I (2000) Constraint qualifications for semi-infinite systems of convex inequalities. SIAM J Optim, 11(1):31–52

    Article  Google Scholar 

  • Polak E (1983) Semi-infinite optimization in engineering design. In: Fiacco AV, Kortanek KO (eds) Semi-infinite programming and applications. Lecture notes in econom and math systems. Springer, Berlin, pp 236–248

    Chapter  Google Scholar 

  • Ramana MV (1995) An exact duality theory for semidefinite programming and its complexity implications. DIMACS Technical report 95-02R, RUTCOR, Rutgers University, New Brunswick, NJ

  • Rückmann JJ, Shapiro A (1999) First-order optimality conditions in generalized semi-infinite programming. J Optim Theory Appl, 101(3):677–691

    Article  Google Scholar 

  • Rückmann JJ, Shapiro A (2001) Second-order optimality conditions in generalized semi-infinite programming. Set-Valued Anal, 9(1–2):169–186

    Article  Google Scholar 

  • Stein O, Still G (2000) On optimality conditions for generalized semi-infinite programming problems. J Optim Theory Appl, 104(2):443–458

    Article  Google Scholar 

  • Still G (1999) Generalized semi-infinite programming: theory and methods. Eur J Oper Res, 119:301–313

    Article  Google Scholar 

  • Tijs SH (1979) Semi-infinite linear programs and semi-infinite matrix games. Nieuw Arch Wiskd 27:197–214

    Google Scholar 

  • Wolkowicz H (1983) Method of reduction in convex programming. J Optim Theory Appl, 40(3):349–378

    Article  Google Scholar 

  • Wolkowicz H, Saigal R, Vandenberghe L (eds) (2000) Handbook of semidefinite programming: Theory, algorithms, and applications. Kluwer Academic, Norwell

    Google Scholar 

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Correspondence to T. V. Tchemisova.

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Kostyukova, O.I., Tchemisova, T.V. Implicit optimality criterion for convex SIP problem with box constrained index set. TOP 20, 475–502 (2012). https://doi.org/10.1007/s11750-011-0189-5

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