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Finite Convergence in Stochastic Programming

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Stochastic Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 379))

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Abstract

A differential inclusion is designed for solving stochastic, finite horizon, convex programs. Under a sharpness condition we demonstrate that the resulting method yields finite convergence.

Written in parts at the Univ. of Bayreuth. The research has partially been supported by Ruhrgas via NAVF.

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References

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© 1992 Springer-Verlag Berlin Heidelberg

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Flåm, S.D. (1992). Finite Convergence in Stochastic Programming. In: Marti, K. (eds) Stochastic Optimization. Lecture Notes in Economics and Mathematical Systems, vol 379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-88267-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-88267-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55225-3

  • Online ISBN: 978-3-642-88267-8

  • eBook Packages: Springer Book Archive

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