Items where IIASA Author is "Ruszczynski, Andrzej"
Article
Kryazhimskiy, A.V. & Ruszczynski, A. (2001). Constraint aggregation in infinite-dimensional spaces and applications. Mathematics of Operations Research 26 (4), 769-795. 10.1287/moor.26.4.769.10009.
Ermoliev, Y.M., Norkin, V.I. & Ruszczynski, A. (1998). On optimal allocation of indivisibles under uncertainty. Operations Research 46 (4), 381-395.
Pflug, G. ORCID: https://orcid.org/0000-0001-8215-3550, Ruszczynski, A. & Schultz, R. (1998). On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions. Mathematics of Operations Research 23 (1), 204-220. 10.1287/moor.23.1.204.
Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550, Ruszczynski, A. & Schultz, R. (1998). On the Glivenko-Cantelli problem in stochastic programming: Linear recourse and extension. Mathematics of Operations Research 23 (1), 204-220.
Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550, Ruszczynski, A. & Schultz, R. (1998). On the Glivenko-Cantelli problem in stochastic programming: Mixed integer linear recourse. Mathematical Methods of Operations Research, 39-49.
Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550, Norkin, V.I. & Ruszczynski, A. (1998). A branch and bound method for stochastic global optimization. Mathematical Programming, 425-450. 10.1007/BF02680569.
Ruszczynski, A. & Swietanowski, A. (1997). Accelerating the regularized decomposition method for two stage stochastic linear problems. European Journal of Operational Research 101 (2), 328-342. 10.1016/S0377-2217(96)00401-8.
Ermoliev, Y.M., Kryazhimskiy, A.V. & Ruszczynski, A. (1997). Constraint aggregation principle in convex optimization. Mathematical Programming, Series B, 353-372.
Ruszczynski, A. (1997). Decomposition methods in stochastic programming. Mathematical Programming, 333-353.
Altman, A., Amann, M. ORCID: https://orcid.org/0000-0002-1963-0972, Klaassen, G., Ruszczynski, A. & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (1996). Cost-effective sulphur emission reduction under uncertainty. European Journal of Operational Research 90 (3), 395-412. 10.1016/0377-2217(94)00359-9.
Gutjahr, W., Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 & Ruszczynski, A. (1996). Configurations of series-parallel networks with maximum reliability. Microelectronics and Reliability 36 (2), 247-253. 10.1016/0026-2714(95)00004-L.
Ermoliev, Y.M. & Ruszczynski, A. (1996). Convex optimization by radial search. Journal of Optimization Theory and Applications 91 (3), 731-738.
Rosa, C.H. & Ruszczynski, A. (1996). On augmented Lagrangian decomposition methods for multistage stochastic programs. Annals of Operations Research 164 (1), 289-309. 10.1007/BF02187650.
Ruszczynski, A. (1995). On convergence of an augmented Lagrangian decomposition method for sparse convex optimization. Mathematics of Operations Research, 634-656.
Mulvey, J. & Ruszczynski, A. (1995). A new scenario decomposition method for large scale stochastic optimization. Operations Research, 477-490.
Berger, A., Mulvey, J. & Ruszczynski, A. (1994). An extension of the DQA algorithm to convex stochastic programs. SIAM Journal on Optimization 4 (4), 735-753. 10.1137/0804043.
Book Section
Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 & Ruszczynski, A. (2004). A risk measure for income processes. In: Risk Measures for the 21st Century. Eds. Szegoe, G., John Wiley & Sons Inc.. ISBN 0-470-86154-1
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.
Berger, A., Mulvey, J. & Ruszczynski, A. (1994). Restarting strategies for the DQA algorithm. In: Large Scale Optimization: State of the Arts. Eds. Hager, W., Hearn, D. & Pardalos, P., Dordrecht: Kluwer Academic Publishers.
Arthur, W.B. & Ruszczynski, A. (1994). Strategic pricing in markets with increasing returns. In: Increasing Returns and Path-Dependence in the Economy. Eds. Arthur, W.B., Ann Arbor: The University of Michigan Press.
Monograph
Kryazhimskiy, A.V. & Ruszczynski, A. (1997). Constraint Aggregation in Infinite-Dimensional Spaces and Applications [Updated January 1998]. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-97-051
Ogryczak, W. & Ruszczynski, A. (1997). On Stochastic Dominance and Mean-Semideviation Models. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-97-043
Ogryczak, W. & Ruszczynski, A. (1997). From Stochastic Dominance to Mean-Risk Models: Semideviations as Risk Measures. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-97-027
Norkin, V.I., Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 & Ruszczynski, A. (1996). A Branch and Bound Method for Stochastic Global Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-065
Lence, B.J. & Ruszczynski, A. (1996). Managing Water Quality under Uncertainty: Application of a New Stochastic Branch and Bound Method. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-066
Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550, Ruszczynski, A. & Schultz, R. (1996). On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-020
Ruszczynski, A. & Swietanowski, A. (1996). On the Regularized Decomposition Method for Two Stage Stochastic Linear Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-014
Kiwiel, K., Rosa, C.H. & Ruszczynski, A. (1995). Decomposition via Alternating Linearization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-051
Ermoliev, Y.M. & Ruszczynski, A. (1995). Convex Optimization by Radial Search. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-036
Ermoliev, Y.M., Kryazhimskiy, A.V. & Ruszczynski, A. (1995). Constraint Aggregation Principle in Convex Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-015
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
Rosa, C.H. & Ruszczynski, A. (1994). On Augmented Lagrangian Decomposition Methods for Multistage Stochastic Programs. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-125
Altman, A., Amann, M. ORCID: https://orcid.org/0000-0002-1963-0972, Klaassen, G., Ruszczynski, A. & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (1994). Cost-Effective Sulphur Reduction Under Uncertainty. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-119
Flam, S.D. & Ruszczynski, A. (1994). Noncooperative Convex Games: Computing Equilibrium By Partial Regularization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-042
Kallio, M.J. & Ruszczynski, A. (1994). Perturbation Methods for Saddle Point Computation. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-038
Norkin, V.I., Ermoliev, Y.M. & Ruszczynski, A. (1994). On Optimal Allocation of Indivisibles Under Uncertainty. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-021
Kallio, M.J. & Ruszczynski, A. (1994). Parallel Solution of Linear Programs Via Nash Equilibria. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-015
Ruszczynski, A. (1994). A Partial Regularization Method for Saddle Point Seeking. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-020
Ruszczynski, A. (1994). On Augmented Lagrangian Decomposition Methods For Multistage Stochastic Programs. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-005
Altman, A. & Ruszczynski, A. (1993). Cost-effective Sulphur Emission Reduction under Uncertainty. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-062
Kallio, M.J., Ruszczynski, A. & Salo, S. (1993). A Regularized Jacobi Method for Large-Scale Linear Programming. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-061
Gutjahr, W., Pflug, G.C. ORCID: https://orcid.org/0000-0001-8215-3550 & Ruszczynski, A. (1993). Configurations of Series-Parallel Networks with Maximum Reliability. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-060
Ruszczynski, A. (1993). Water Quality Management: Problem Formulations and Solution Methods. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-036
Ruszczynski, A. (1993). Regularized Decomposition of Stochastic Programs: Algorithmic Techniques and Numerical Results. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-021
Ruszczynski, A. (1993). Interior Point Methods in Stochastic Programming. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-93-008
Ruszczynski, A. (1992). Augmented Lagrangian Decomposition for Sparse Convex Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-92-075
Ruszczynski, A., Rogowski, T. & Wierzbicki, A.P. (1990). Contributions to Methodology and Techniques of Decision Analysis (First Stage). IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-90-008
Ruszczynski, A. (1988). Parallel Decomposition of Multistage Stochastic Programming Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-88-094