Titlebook: Measurement Uncertainty; An Approach via the Simona Salicone Textbook 2007 Springer-Verlag US 2007 Applied Mathematics.Experiment.Experime

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ent of numerical methods which do not require convexity assumptions to find local maxima and minima of non-linear optimization problems. These methods are also applicable to boundary value, and other, problems. Many new results, both of a numerical and a theoretical na- ture, which are especially re

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https://doi.org/10.1007/978-0-387-46328-5Applied Mathematics; Experiment; Experimental Physics; GUM; Standard; mathematics; measurement; uncertainty

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978-1-4419-4034-6Springer-Verlag US 2007

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Measurement Uncertainty978-0-387-46328-5Series ISSN 1614-7839 Series E-ISSN 2196-999X

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Construction of Random-Fuzzy Variables, its associated uncertainty, no matter what its origin. In fact, an RFV is represented by two membership functions, which are naturally capable of considering the different kinds of uncertainty contributions separately.