Abstract
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.
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© 1989 Springer-Verlag Berlin Heidelberg
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King, A.J. (1989). Estimated Parameters in Mathematical Programming: Modelling and Statistical Issues. In: Wallace, S.W. (eds) Algorithms and Model Formulations in Mathematical Programming. NATO ASI Series, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83724-1_18
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DOI: https://doi.org/10.1007/978-3-642-83724-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83726-5
Online ISBN: 978-3-642-83724-1
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