Items where Research Program is "Optimization under Uncertainty (OPT)" and Year is 1995

Birge, J.R. & Rosa, C.H. (1995). Modeling investment uncertainty in the costs of global CO2 emission policy. European Journal of Operations Research 83 (3), 466-488. 10.1016/0377-2217(94)00244-7.

Dupacova, J. (1995). Bounds for Stochastic Programs in Particular for Recourse Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-085

Dupacova, J. (1995). Scenario-Based Stochastic Programs: Strategies for Deleting Scenarios. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-014

Ermoliev, Y. & Yashkir, O. (1995). Identification and Optimization in Physics. Kiev: Naukova Dumka.

Ermoliev, Y.M., Kryazhimskiy, A.V. & Ruszczynski, A. (1995). Constraint Aggregation Principle in Convex Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-015

Ermoliev, Y.M. & Ruszczynski, A. (1995). Convex Optimization by Radial Search. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-036

Flam, S.D. (1995). Equilibrium Programming Using Proximal-Like Algorithms. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-055

Futschik, A. & Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 (1995). Confidence sets for discrete stochastic optimization. Annals of Operations Research 56 (1), 95-108. 10.1007/BF02031702.

Kaniovski, Y.M. & Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 (1995). Non-Standard Limit Theorems for Urn Models and Stochastic Approximation Procedures. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-95-008. Reprinted from Stochastic Models, 11(1):79-102 [1995].

Kaniovski, Y.M. & Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 (1995). Non-standard limit theorems for urn models and stochastic approximation procedures. Stochastic Models 11 (1), 79-102. 10.1080/15326349508807332.

Kiwiel, K. (1995). Proximal Minimization Methods with Generalized Bregman Functions. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-024

Kiwiel, K., Rosa, C.H. & Ruszczynski, A. (1995). Decomposition via Alternating Linearization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-051

Mulvey, J. & Ruszczynski, A. (1995). A new scenario decomposition method for large scale stochastic optimization. Operations Research, 477-490.

Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 (1995). Random planar shapes and their statistical recognition. Annals of Mathematics and Artificial Intelligence 13 (3), 267-279. 10.1007/BF01530831.

Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550, Ruszczynski, A. & Schultz, R. (1995). On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-003

Rozycki, R. (1995). Constraint Aggregation Principle: Application to a Dual Transportation Problem. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-103

Ruszczynski, A. (1995). On convergence of an augmented Lagrangian decomposition method for sparse convex optimization. Mathematics of Operations Research, 634-656.

Ruszczynski, A. (1995). On the regularized decomposition method for stochastic programming problems. In: Stochastic Programming: Numerical Techniques and Engineering Applications. Eds. Marti, K. & Kall, P., Heidelberg: Springer-Verlag.

Swietanowski, A. (1995). A Penalty Based Simplex Method for Linear Programming. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-005

van Vliet, C. (1995). Use of the Response Surface Method for the Quantification of a Sexual Behavior Model. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-110