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Nonstationary Processes for Mathematical Programming Problems under the Conditions of Poorly Formalized Constraints and Incomplete Defining Information

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Optimization Techniques IFIP Technical Conference

Part of the book series: Lecture Notes in Computer Science ((LNCIS))

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Abstract

The methods of Mathematical Programming are an effective means for the analysis of complicated systems: technical, economical, some natural systems, etc. However, the following conditions are the reason of the necessity of adaptation of these methods:

  • nonstationary and poorly defined processes;

  • the relations between the components of the system are poorly formalized;

  • the degree of determinancy of the available information can be arbitrary.

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References

  1. И.И. Ерёмин, Вл.Д. Мазуров. О нестационарных процессах математического программирования.-1п: “Нестационарные процессы математического программирования”, Works of Institute of Mathematics and Mechanics, N 14, Sverdlovsk, 1974.

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© 1975 Springer-Verlag Berlin Heidelberg

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Eremin, I.I., Mazurov, V.D. (1975). Nonstationary Processes for Mathematical Programming Problems under the Conditions of Poorly Formalized Constraints and Incomplete Defining Information. In: Marchuk, G.I. (eds) Optimization Techniques IFIP Technical Conference. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-38527-2_6

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  • DOI: https://doi.org/10.1007/978-3-662-38527-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-37713-0

  • Online ISBN: 978-3-662-38527-2

  • eBook Packages: Springer Book Archive

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