1. A recourse certainty equivalent for decisions under uncertainty

   • Aharon Ben-Tal
   • Adi Ben-Israel

   Modelling Approaches Pages: 1 - 44

2. Adaptive approaches to stochastic programming

   • Patrick H. McAllister

   Modelling Approaches Pages: 45 - 62

3. Scenario optimization

   • Ron S. Dembo

   Modelling Approaches Pages: 63 - 80

4. Guaranteeing approach to solving quantile optimization problems

   • A. I. Kibzun
   • V. Yu. Kurbakovskiy

   Modelling Approaches Pages: 81 - 93

5. Stochastic programming with random processes

   • Tomáš Cipra

   Modelling Approaches Pages: 95 - 105

6. Linear programming with stochastic processes as parameters as applied to production planning

   • Raj Jagannathan

   Modelling Approaches Pages: 107 - 114

7. Conditional expectation of integrands and random sets

   • A. Truffert

   Theory Pages: 115 - 156

8. Glivenko-Cantelli type theorems: An application of the convergence theory of stochastic suprema

   • Gabriella Salinetti
   • Roger J. -B. Wets

   Theory Pages: 157 - 168

9. Asymptotic analysis of stochastic programs

   • Alexander Shapiro

   Theory Pages: 169 - 186

10. Normalized convergence in stochastic optimization

    • Yuri M. Ermoliev
    • Vladimir I. Norkin

    Theory Pages: 187 - 198

11. On statistical sensitivity analysis in stochastic programming

    • Jitka Dupačová

    Theory Pages: 199 - 214

12. Statistical verification of optimality conditions for stochastic programs with recourse

    • Julia L. Higle
    • Suvrajeet Sen

    Theory Pages: 215 - 239

13. Stability analysis for stochastic programs

    • Werner Römisch
    • Rüdiger Schultz

    Theory Pages: 241 - 266

14. An upper bound for SLP using first and total second moments

    • P. Kall

    Theory Pages: 267 - 276

15. Bounding separable recourse functions with limited distribution information

    • John R. Birge
    • José H. Dulá

    Theory Pages: 277 - 298

16. On the evaluation of strategies for branching bandit processes

    • K. D. Glazebrook
    • R. J. Boys
    • N. A. Fay

    Theory Pages: 299 - 319