Probabilistic and Randomized Methods for Design under Uncertainty

In many engineering design and optimization problems, the presence of uncertainty in the data is a central and critical issue. Different fields of engineering use different ways to describe this uncertainty and adopt a variety of techniques to devise designs that are at least partly insensitive or r...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Calafiore, Giuseppe (Editor), Dabbene, Fabrizio (Editor)
Format: Electronic eBook
Language:English
Published: London : Springer London, 2006.
Subjects:
Online Access:Full Text via HEAL-Link

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