Abstract
The problem of finding a feasible solution to a linear inequality system arises in numerous contexts. We consider solving linear semi-infinite inequality systems via an extension of the relaxation method for finite linear inequality systems. The difficulties are discussed and a convergence result is derived under fairly general assumptions on a large class of linear semi-infinite inequality systems.
Similar content being viewed by others
References
Agmon S.: The relaxation method for linear inequalities. Can. J. Math. 6, 382–392 (1954)
Antunes de Oliveira A., Rojas-Medar M.A.: Proper efficiency in vector infinite programming problems. Optim. Lett. 3(3), 319–328 (2009)
Bartle R.G.: The Elements of Real Analysis. Wiley, New York (1964)
Betro B.: An accelerated central cutting plane algorithm for linear semi-infinite programming. Math. Program., Ser. A 101, 479–495 (2004)
Censor Y., Zenios S.: Parallel optimization: Theory, Algorithms, and Applications. Oxford University Press, New York (1997)
Coope I.D., Watson G.A.: A projected Lagrangian algorithm for semi-infinite programming. Math. Program. 32, 337–356 (1985)
Fang S.-C., Wu S.-Y.: An inexact approach to solving linear semi-infinite programming problems. Optimization 28, 291–299 (1994)
Fang S.-C., Wu S.-Y., Birbil S.I.: Solving variational inequalities defined on a domain with infinitely many linear constraints. Comput. Optim. Appl. 37(1), 67–81 (2007)
Goberna M.A., González E., Martínez-Legaz J.E., Todorov M.I.: Motzkin decomposition of closed convex sets. J. Math. Anal. Appl. 364, 209–221 (2010)
Goberna M.A., López M.A.: Linear semi-infinite optimization theory: an updated survey. Eur. J. Oper. Res. 143, 390–415 (2002)
Goberna M.A., López M.A.: Linear Semi-Infinite Optimization. Wiley, Chichester (1998)
Goffin J-L., Lou Z.Q., Ye Y.: On the complexity of a column generation algorithm for convex or quasiconvex feasibility problems. In: Hanger, W.W., Hearn, D.W., Pardalos, P.M. (eds) Large scale optimization: state of the art, pp. 182–191. Kluwer, Boston (1994)
Goffin J.-L., Lou Z.-Q., Ye Y.: Comlexity analysis of an interior cutting plane method for convex feasibility problems. SIAM J. Optim. 6, 638–652 (1996)
Herman G.T.: Image Reconstruction from Projections: The fundamentals of computerized Tomography. Academic Press, New York (1980)
Hettich R., Kortanek K.O.: Semi-infinite programming: theory, methods and applications. SIAM Rev. 35, 380–429 (1993)
Hu, H.: A projection method for solving infinite systems of linear inequalities. Advances in Optimization and Approximation pp. 186–194. Kluwer, Dordrecht (1994)
Jeroslow R.G.: Some relaxation methods for linear inequalities. Cahiers du Cero 21, 43–53 (1979)
Lin C.-J., Yang E.K., Fang S.-C.: Implementation of an inexact approach to solving linear semi-infinite programming problems. J. Comput. Appl. Math. 61, 87–103 (1995)
Maugeri A., Raciti F.: On general infinite dimensional complementarity problems. Optim. Lett. 2(1), 71–90 (2008)
Motzkin T.S., Shoenberg I.J.: The relaxation method for linear inequalities. Reprinted from Can. J. Math. 6, 393–404 (1954)
Özçam B., Cheng H.: A discretization based smoothing method for solving semi-infinite variational inequalities. J. Ind. Manag. Optim. 1, 219–233 (2005)
Pardalos, P.M., Resende, M. (eds): Handbook of Applied Optimization. Oxford University Press, Oxford (2002)
Richter M.K., Wong K.-C.: Infinite inequality systems and cardinal revelations. Econom. Theory 26, 947–971 (2005)
Watson, G.A.: Numerical Experiments with Globally Convergent Methods for Semi-Infinite Programming Problems. Lecture notes in Economics and Mathematical Systems vol. 215, pp. 193–205. Springer, Berlin (1983)
Author information
Authors and Affiliations
Corresponding author
Additional information
Research partially supported by CONACyT of Mexico, Grant 55681.
Rights and permissions
About this article
Cite this article
González-Gutiérrez, E., Todorov, M.I. A relaxation method for solving systems with infinitely many linear inequalities. Optim Lett 6, 291–298 (2012). https://doi.org/10.1007/s11590-010-0244-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11590-010-0244-4