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Titlebook: Algorithms and Model Formulations in Mathematical Programming; Stein W. Wallace Conference proceedings 1989 Springer-Verlag Berlin Heidelb

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樓主: tornado
51#
發(fā)表于 2025-3-30 08:56:38 | 只看該作者
Der Runde Tisch. Oder: Wo blieb das Volk?Frequently it happens that the parameters needed to define a mathematical program are not precisely known, but can be estimated by sampling or derived from historical data. To be honest, the modeller should treat such parameters as uncertain. This is simple to state but raises profound modelling, algorithmic and analytical issues.
52#
發(fā)表于 2025-3-30 13:48:28 | 只看該作者
53#
發(fā)表于 2025-3-30 17:13:25 | 只看該作者
54#
發(fā)表于 2025-3-30 23:01:29 | 只看該作者
Constructive Dual Methods for Non-Linear Discrete Programing ProblemsRecently a constructive duality theory for integer linear programming has been suggested, Bárcia (1985) and (1986). In this paper we generalize the previous theory for the case of non-linear discrete programming and present an algorithm for the case of quadratic 0-1 problems.
55#
發(fā)表于 2025-3-31 02:26:04 | 只看該作者
56#
發(fā)表于 2025-3-31 05:52:22 | 只看該作者
Multiperiod Linear Stochastic Programming and a Forestry ApplicationA new algorithm is given to solve the multiperiod stochastic linear programming problem
57#
發(fā)表于 2025-3-31 10:13:16 | 只看該作者
Stochastic Equilibrium Programming for Dynamic Oligopolistic MarketsThe aim of this paper is to clarify the relationship between the stochastic programming and dynamic programming approaches for the modelling of dynamic equilibria in a class of uncertain systems.
58#
發(fā)表于 2025-3-31 14:35:23 | 只看該作者
59#
發(fā)表于 2025-3-31 17:41:47 | 只看該作者
Algorithms and Model Formulations in Mathematical Programming978-3-642-83724-1Series ISSN 0258-1248
60#
發(fā)表于 2025-4-1 00:56:09 | 只看該作者
https://doi.org/10.1007/978-3-662-41231-2ghly specialized nonlinear programming algorithms for solving the resulting large-scale problems. It is shown that nonlinear network models can be handled efficiently using serial or vector processing computers. Extensions to stochastic programs are discussed.
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