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Boolean Random Functions

Part of the Lecture Notes in Mathematics book series (LNM,volume 2120)

Abstract

The notion of Boolean random functions is considered which is a generalization of Boolean random closed sets. Their construction is based on the combination of a sequence of primary random functions by the operation ∨ (supremum) or ∧ (infimum), and their main properties (among which the supremum or infimum infinite divisibility) are given in the case of scalar random functions built on Poisson point processes. Examples of applications to the modeling of rough surfaces are given.

Keywords

  • Random Function
  • Primary Function
  • Shot Peening
  • Poisson Point Process
  • Boolean Model

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Dominique Jeulin .

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© 2015 Springer International Publishing Switzerland

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Jeulin, D. (2015). Boolean Random Functions. In: Schmidt, V. (eds) Stochastic Geometry, Spatial Statistics and Random Fields. Lecture Notes in Mathematics, vol 2120. Springer, Cham. https://doi.org/10.1007/978-3-319-10064-7_5

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