Z. Artstein and R.J-B. Wets, Stability results for stochastic programs and sensors, allowing for discontinuous objective functions, SIAM Journal on Optimization 4(1994)537–550.
I.L. Averbakh, An iterative method of solving two-stage discrete stochastic programming problems with additively separable variables, USSR Computational Mathematics and Mathematical Physics 31(1991)21–27.
J.R. Birge and M.A.H. Dempster, Stochastic programming approaches to stochastic scheduling, Journal of Global Optimization 9(1996)417–451.
C.C. Carøe, A. Ruszczyński and R. Schultz, Unit commitment under uncertainty via two-stage stochastic programming, in: Proceedings of NOAS 97, eds. C.C. Carøe and D. Pisinger, Technical Report DIKU-TR-97/23, Department of Computer Science, University of Copenhagen, 1997, pp. 21–30. Paper with improved computational results available as SC 98–11 via http://www.zib.de/bib/pub/pw/index.en.html.
C.C. Carøe and R. Schultz, Dual decomposition in stochastic integer programming, Preprint SC 96–46, Konrad-Zuse-Zentrum für Informationstechnik Berlin, 1996.
C.C. Carøe and J. Tind, L-shaped decomposition of two-stage stochastic programs with integer recourse, Technical Report, Institute of Mathematics, University of Copenhagen, 1995, to appear in Mathematical Programming.
C.C. Carøe and J. Tind, A cutting-plane approach to mixed 0–1 stochastic integer programs, European Journal of Operational Research 101(1997)306–316.
D. Dentcheva and W. Römisch, Optimal power generation under uncertainty via stochastic programming, Preprint 96–35, Humboldt-Universität Berlin, Institut für Mathematik, 1996, to appear in K. Marti and P. Kall (eds.), Stochastic Programming Methods and Technical Applications, Lecture Notes in Economics and Mathematical Systems 458, Springer, Berlin, 1998. Revised version available at http://elib.zib.de/echtzeit/abstracts/Preprint–97–6.
C.L. Dert, Asset liability management for pension funds, a multistage chance constrained programming approach, Ph.D. Thesis, Erasmus University, Rotterdam, The Netherlands, 1995.
M. Dyer and L. Stougie, Stochastic programming problems: Complexity and approximability, in preparation.
M.R. Garey and D.S. Johnson, Computers and Intractability; A Guide to the Theory of NP-Completeness, Freeman, New York, 1979.
T.W. Jonsbräten, R.J-B. Wets and D.L. Woodruff, A class of stochastic programs with decision dependent random elelements, Annals of Operations Research, to appear.
P. Kall and J. Mayer, SLP-IOR: An interactive model management system for stochastic linear programs, Mathematical Programming 75(1996)221–240.
W.K. Klein Haneveld, L. Stougie and M.H. van der Vlerk, Some theorems on the convex hull of a function with an application to stochastic integer programming, Discussion Paper TI 94–81, Tinbergen Institute, Amsterdam/Rotterdam, 1994.
W.K. Klein Haneveld, L. Stougie and M.H. van der Vlerk, On the convex hull of the simple integer recourse objective function, Annals of Operations Research 56(1995)209–224.
W.K. Klein Haneveld, L. Stougie and M.H. van der Vlerk, An algorithm for the construction of convex hulls in simple integer recourse programming, Annals of Operations Research 64(1996) 67–81.
W.K. Klein Haneveld, L. Stougie and M.H. van der Vlerk, Convex approximations for simple integer recourse models by perturbing the underlying distribution, Research Report 97A19, SOM, University of Groningen, 1997.
W.K. Klein Haneveld, L. Stougie and M.H. van der Vlerk, Convex simple integer recourse problems, Research Report 97A10, SOM, University of Groningen, 1997.
W.K. Klein Haneveld and M.H. van der Vlerk, On the expected value function of a simple integer recourse problem with random technology matrix, Journal of Computational and Applied Mathematics 56(1994)45–53.
B.J. Lageweg, J.K. Lenstra, A.H.G. Rinnooy Kan and L. Stougie, Stochastic integer programming by dynamic programming, Statistica Neerlandica 39(1985)97–113.
G. Laporte and F.V. Louveaux, The integer L-shaped method for stochastic integer programs with complete recourse, Operations Research Letters 13(1993)133–142.
G. Laporte, F.V. Louveaux, and H. Mercure, The vehicle routing problem with stochastic travel times, Transportation Science 26(1992)161–170.
G. Laporte, F.V. Louveaux and L. van Hamme, Exact solution of a stochastic location problem by an integer L-shaped algorithm, Transportation Science 28(1994)95–103.
A. Løkketangen and D.L. Woodruff, Progressive hedging and tabu search applied to mixed integer (0, 1) multistage stochastic programming, Journal of Heuristics 2(1996)111–128.
F.V. Louveaux and M.H. van der Vlerk, Stochastic programming with simple integer recourse, Mathematical Programming 61(1993)301–325.
G.L. Nemhauser and L.A. Wolsey, Integer and Combinatorial Optimization, Wiley, New York, 1988.
A. Prékopa, Stochastic Programming, Kluwer Academic, Dordrecht, 1995.
R.T. Rockafellar and R.J-B. Wets, Scenarios and policy aggregation in optimization under uncertainty, Mathematics of Operations Research 16(1991)119–147.
A. Ruszczyński, Y. Ermoliev and V. Norkin, On optimal allocation of indivisibles under uncertainty, Operations Research, to appear.
R. Schultz, Continuity and stability in two-stage stochastic integer programming, in: Lecture Notes in Economics and Mathematical Systems, Vol. 379, ed. K. Marti, Springer, Berlin, 1992, pp. 81–92.
R. Schultz, Continuity properties of expectation functions in stochastic integer programming, Mathematics of Operations Research 18(1993)578–589.
R. Schultz, On structure and stability in stochastic programs with random technology matrix and complete integer recourse, Mathematical Programming 70(1995)73–89.
R. Schultz, Rates of convergence in stochastic programs with complete integer recourse, SIAM Journal on Optimization 6(4)(1996)1138–1152.
R. Schultz, L. Stougie and M.H. van der Vlerk, Solving stochastic programs with complete integer recourse: A framework using Gröbner bases, Discussion Paper 9562, CORE, Louvain-la-Neuve, Belgium, 1995; revision to appear in Mathematical Programming.
L. Stougie, Design and Analysis of Algorithms for Stochastic Integer Programming, Vol. 37 of CWI Tracts, Centrum voor Wiskunde en Informatica, Amsterdam, 1987.
L. Stougie and M.H. van der Vlerk, Stochastic integer programming, in: Annotated Bibliographies in Combinatorial Optimization, eds. M. Dell'Amico, F. Maffioli and S. Martello, Wiley, 1997, chap. 9, pp. 127–141.
S. Takriti, J.R. Birge and E. Long, A stochastic model for the unit commitment problem, IEEE Transactions on Power Systems 11(1996)1497–1508.
S. Takriti, B. Krasenbrink and L.S.-Y. Wu, Incorporating fuel constraints and electricity spot prices into the stochastic unit commitment problem, IBM Research Report RC 21066, Mathematical Sciences Department, IBM Research Division, T.J. Watson Research Center, Yorktown Heights, New York, 1997.
S.R. Tayur, R.R. Thomas and N.R. Natraj, An algebraic geometry algorithm for scheduling in the presence of setups and correlated demands, Mathematical Programming 69(1995)369–401.
A. Tomasgard, S. Dye, S.W. Wallace, J.A. Audestad, L. Stougie and M.H. van der Vlerk, Modelling in distributed telecommunications networks, Discussion Paper TI 97–030/4, Tinbergen Institute, Amsterdam/Rotterdam, 1997, to appear in Annals of Operations Research.
M.H. van der Vlerk, Stochastic programming with integer recourse, Ph.D. Thesis, University of Groningen, The Netherlands, 1995.
M.H. van der Vlerk, Stochastic programming bibliography, available via http://mally.eco.rug.nl, 1996–1998.
R. Van Slyke and R.J-B. Wets, L-shaped linear programs with applications to control and stochastic programming, SIAM Journal on Applied Mathematics 17(1969)638–663.
R.M. Wollmer, Two-stage linear programming under uncertainty with 0–1 first-stage variables, Mathematical Programming 19(1980)279–288.
W. Ziemba and J. Mulvey (eds.), World Wide Asset and Liability Management, Cambridge University Press, to appear.