Abstract
We consider the objective function of a simple recourse problem with fixed technology matrix and integer second-stage variables. Separability due to the simple recourse structure allows to study a one-dimensional version instead.
Based on an explicit formula for the objective function, we derive a complete description of the class of probability density functions such that the objective function is convex. This result is also stated in terms of random variables.
Next, we present a class of convex approximations of the objective function, which are obtained by perturbing the distributions of the right-hand side parameters. We derive a uniform bound on the absolute error of the approximation. Finally, we give a representation of convex simple integer recourse problems as continuous simple recourse problems, so that they can be solved by existing special purpose algorithms.
Similar content being viewed by others
References
Birge, J.R., Louveaux, F.V.: Introduction to Stochastic Programming. Springer Verlag, New York (1997)
Kall, P., Wallace, S.W.: Stochastic Programming. Wiley, Chichester (1994). Also available as PDF file at http://www.unizh.ch/ior/Pages/Deutsch/Mitglieder/Kall/bib/ka-wal-94.pdf
Klein Haneveld, W.K., Stougie, L., van der Vlerk, M.H.: On the convex hull of the simple integer recourse objective function. Ann. Oper. Res. 56, 209–224 (1995)
Klein Haneveld, W.K., Stougie, L., van der Vlerk, M.H.: An algorithm for the construction of convex hulls in simple integer recourse programming. Ann. Oper. Res. 64, 67–81 (1996)
Klein Haneveld, W.K., van der Vlerk, M.H.: Stochastic integer programming: General models and algorithms. Ann. Oper. Res. 85, 39–57 (1999)
Louveaux, F.V., Schultz, R.: Stochastic integer programming. In: A. Ruszczynski, A. Shapiro (eds.) Stochastic Programming, chap. 4, pp. 213–266. Elsevier (2003). Handbooks in Operations Research and Management Science, vol. 10
Louveaux, F.V., van der Vlerk, M.H.: Stochastic programming with simple integer recourse. Math. Program. 61, 301–325 (1993)
Mayer, J.: Stochastic Linear Programming Algorithms: A Comparison Based on a Model Management System. Optimization theory and applications; v. 1. Gordon and Breach Science Publishers, OPA Amsterdam, The Netherlands (1998)
Nesterov, Yu., Nemirovski, A.: Interior point polynomial methods in Convex Programming: theory and applications. SIAM Series in Applied Mathematics. SIAM (1994)
Prékopa, A.: Stochastic Programming. Kluwer Academic Publishers, Dordrecht (1995)
Rudin, W.: Principles of Mathematical Analysis, second edn. McGraw-Hill, New York (1964)
Ruszczynski, A., Shapiro, A. (eds.): Stochastic Programming, Handbooks in Operations Research and Management Science, vol. 10. Elsevier (2003)
Schultz, R.: Continuity properties of expectation functions in stochastic integer programming. Math. Oper. Res. 18, 578–589 (1993)
Stochastic programming introduction.Stochastic Programming Community Home Page sponsored by COSP, http://stoprog.org
Stougie, L., van der Vlerk, M.H.: Stochastic integer programming. In: M. Dell'Amico, F. Maffioli, S. Martello (eds.) Annotated Bibliographies in Combinatorial Optimization, chap. 9, pp. 127–141. Wiley (1997)
van der Vlerk, M.H.: Stochastic programming with integer recourse. Ph.D. thesis, University of Groningen, The Netherlands (1995)
van der Vlerk, M.H.: On multiple simple recourse models. Math. Methods of OR 62 (2), 225–242 (2005)
van der Vlerk, M.H.: Simplification of recourse models by modification of recourse data. In: K. Marti, Y. Ermoliev, G. Pflug (eds.) Dynamic Stochastic Optimization, pp. 321–336. Springer (2003). Lecture Notes in Economics and Mathematical Systems, vol. 532
van der Vlerk, M.H.: Convex approximations for complete integer recourse models. Math. Program. 99(2), 297–310 (2004)
van der Vlerk, M.H.: Convex approximations for a class of mixed-integer recourse models. Research Report 2005–10, Stochastic Programming E-Print Series, http://www.speps.info (2005)
Wets, R.J-B.: Solving stochastic programs with simple recourse. Stochastics 10, 219–242 (1984)
Author information
Authors and Affiliations
Corresponding author
Additional information
Research of the third author has been made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences.
Rights and permissions
About this article
Cite this article
Klein Haneveld, W., Stougie, L. & van der Vlerk, M. Simple integer recourse models: convexity and convex approximations. Math. Program. 108, 435–473 (2006). https://doi.org/10.1007/s10107-006-0718-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10107-006-0718-4