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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© 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
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