On an Equivalent Condition between a Stochastic Programming Problem and a Possibilistic Programming Problem

Transactions of the Institute of Systems Control and Information Engineers ◽

10.5687/iscie.4.255 ◽

1991 ◽

Vol 4 (6) ◽

pp. 255-257 ◽

Author(s):

Masahiro INUIGUCHI ◽

Yasufumi KUME

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Equivalent Condition ◽

Stochastic Programming Problem ◽

Possibilistic Programming

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A Bilevel Stochastic Programming Problem with Random Parameters in the Follower’s Objective Function

Journal of Applied and Industrial Mathematics ◽

10.1134/s1990478918040063 ◽

2018 ◽

Vol 12 (4) ◽

pp. 658-667 ◽

Author(s):

S. V. Ivanov

Keyword(s):

Stochastic Programming ◽

Objective Function ◽

Programming Problem ◽

Random Parameters ◽

Stochastic Programming Problem

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Biform game: Reflection as a stochastic programming problem

International Journal of Production Economics ◽

10.1016/j.ijpe.2012.10.021 ◽

2013 ◽

Vol 142 (1) ◽

pp. 124-129 ◽

Author(s):

Nichalin S. Summerfield ◽

Moshe Dror

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Stochastic Programming Problem

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Dual method for the solution of a one-stage stochastic programming problem with random RHS obeying a discrete probability distribution

Mathematical Methods of Operations Research ◽

10.1007/bf01421551 ◽

1990 ◽

Vol 34 (6) ◽

pp. 441-461 ◽

Author(s):

A. Pr�kopa

Keyword(s):

Probability Distribution ◽

Stochastic Programming ◽

Programming Problem ◽

Dual Method ◽

Discrete Probability ◽

Discrete Probability Distribution ◽

Stochastic Programming Problem ◽

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A global algorithm for minimax solutions to a stochastic programming problem

Computers & Operations Research ◽

10.1016/0305-0548(78)90025-4 ◽

1978 ◽

Vol 5 (3) ◽

pp. 197-204 ◽

Author(s):

R.G. Dyson ◽

G. Swaithes

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Stochastic Programming Problem ◽

Minimax Solutions ◽

Global Algorithm

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A Min-Max-Max-Min Approach to Solving a Stochastic Programming Problem with Simple Recourse

Management Science ◽

10.1287/mnsc.38.4.540 ◽

1992 ◽

Vol 38 (4) ◽

pp. 540-554 ◽

Author(s):

D. J. White

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Stochastic Programming Problem ◽

Simple Recourse

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A General Stochastic Programming Problem

Journal of Cybernetics ◽

10.1080/01969727108542906 ◽

1971 ◽

Vol 1 (4) ◽

pp. 106-112 ◽

Author(s):

Yu. M. Yermol'yev

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Stochastic Programming Problem ◽

General Stochastic

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The Generalized Expectation Value Model of Stochastic Programming Problem

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2009.5304741 ◽

2009 ◽

Author(s):

Fachao Li ◽

Yi Liu

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Expectation Value ◽

Stochastic Programming Problem ◽

Value Model ◽

Generalized Expectation

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A two-stage stochastic programming problem of the block type

USSR Computational Mathematics and Mathematical Physics ◽

10.1016/0041-5553(78)90040-x ◽

1978 ◽

Vol 18 (2) ◽

pp. 66-75 ◽

Author(s):

V.I. Tsurkov

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Two Stage ◽

Stochastic Programming Problem

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Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

Information Technology And Control ◽

10.5755/j01.itc.47.4.20103 ◽

2018 ◽

Vol 47 (4) ◽

Author(s):

Ana Ušpurienė ◽

Leonidas Sakalauskas ◽

Gediminas Gricius

Keyword(s):

Stochastic Programming ◽

Programming Problem ◽

Decomposition Method ◽

Two Stage ◽

Stochastic Programming Problem ◽

Scenario Aggregation

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Large Deviations of Empirical Estimates in the Stochastic Programming Problem for the Homogeneous Random Field with a Discrete Parameter

Cybernetics and Systems Analysis ◽

10.1007/s10559-021-00396-0 ◽

2021 ◽

Vol 57 (5) ◽

pp. 704-713

Author(s):

P. S. Knopov ◽

E. J. Kasitskaya

Keyword(s):

Stochastic Programming ◽

Large Deviations ◽

Random Field ◽

Programming Problem ◽

Homogeneous Random Field ◽

Discrete Parameter ◽

Stochastic Programming Problem ◽

Empirical Estimates

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