Items where IIASA Author is "Nurminski, Evgeni"

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Number of items: 28.

Article

Nurminski, E. ORCID: https://orcid.org/0000-0002-7236-6955 & Vorontsov, N. (1980). Trend Analysis in Coal Mining Based on a Pattern Recognition Technique. IFAC Proceedings Volumes 13 (7), 101-104. 10.1016/S1474-6670(17)64717-7.

Hughes, D., Nurminski, E. ORCID: https://orcid.org/0000-0002-7236-6955 & Royston, G. (1980). Use of nondifferentiable optimization in a health care problem. Systems Research 25 (5), 345-352. 10.1002/bs.3830250504.

Ermoliev, Y. & Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1973). Limit extremal problems. Cybernetics and Systems Analysis 9 (4), 691-693. 10.1007/BF01068596.

Book Section

Ermoliev, Y. & Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1980). Stochastic quasigradient algorithms for minimax problems in stochastic programming. In: Stochastic Programming: Proceedings of the 1974 Oxford International Conference. Eds. Dempster, M.A.H., London: Academic Press. ISBN 9780122082504

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1979). On ɛ-subgradient methods of non-differentiable optimization. In: International Symposium on Systems Optimization and Analysis. Eds. Bensoussan, A. & Lions, J.L., pp. 187-195 Germany: Springer Berlin Heidelberg. ISBN 978-3-540-35232-7 10.1007/BFb0002654.

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1979). On ε-Subgradient Methods of Non-Differentiable Optimization. In: International Symposium on Systems Optimization and Analysis. pp. 187-195 Germany: Springer Berlin Heidelberg. ISBN 978-3-662-39921-7 10.1007/978-3-662-39921-7_18.

Ermoliev, Y. & Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1973). Extremal problems of statistics, and numerical methods for stochastic programming. In: Certain Questions on Simulation and Systems Control. Kiev: Izdat. Naukova Dumka.

Ermoliev, Y. & Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1973). Stochastic optimization and mathematical statistics. In: Control and Modeling. Kiev: Institute of Mathematics Press.

Monograph

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 & Balabanov, T. (1983). Decomposition of a Large-Scale Energy Model. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-84-016. Reprinted from Large Scale Systems, 3 [1983].

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1982). Progress in Nondifferentiable Optimization. IIASA Collaborative Paper. IIASA, Laxenburg, Austria: CP-82-S8

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 & Balabanov, T. (1982). Decomposition of a Large-Scale Energy Model. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-82-095

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1982). Subtraction of Convex Sets and Its Application in E-Subdifferential Calculus. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-82-083

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1982). Decomposition Algorithm Based on the Primal-Dual Approximation. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-82-046

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1982). Bibliography on Nondifferentiable Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-82-032

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1982). Convergence and Numerical Expirements with a Decomposition Algorithm. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-82-008

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1981). Decomposition of Two-Block Optimization Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-81-073

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1981). On a Decomposition of Structured Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-81-031

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1981). Pi-Approximation and Decomposition of Large-Scale Problems. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-81-011. Reprinted from Optimization and Optimal Control, pp. 79-88 [1981].

Lemarechal, C. & Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1980). Differentiability of a Support Function of an E-Subgradient. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-80-101

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1980). Numerical Experiments with Decomposition of LP on a Small Computer. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-80-037

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1980). An Application of Nondifferentiable Optimization in Optimal Control. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-81-012. Reprinted from Numerical Optimisation of Dynamic Systems, pp. 137-158 [1980].

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1979). Some Theoretical Considerations on Linkage Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-79-117

Hughes, D.J., Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 & Royston, G. (1979). Nondifferentiable Optimization Promotes Health Care. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-79-090

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 & Vorontsov, N.V. (1979). Trend Analysis for Sparse Data. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-79-089

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1979). Conceptual Newton Method for Solving Multivalued Inclusions: Scalar Case. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-79-050

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1978). Nondifferentiable Optimization with Epsilon Subgradient Methods. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-78-055

Nurminski, E.A. ORCID: https://orcid.org/0000-0002-7236-6955 (1978). On epsilon-Differential Mappings and their Applications in Nondifferentiable Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-78-058

Conference or Workshop Item

Ermoliev, Y. & Nurminski, E. ORCID: https://orcid.org/0000-0002-7236-6955 (1980). Stochastic quasigradient algorithms for minimax problems in stochastic programming. In: Proceedings of an International Conference on Stochastic Programming.

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