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TPHOL
2009
IEEE
16 years 28 days ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler
ECSQARU
2007
Springer
16 years 14 days ago
Interpreting Belief Functions as Dirichlet Distributions
Traditional Dempster Shafer belief theory does not provide a simple method for judging the effect of statistical and probabilistic data on belief functions and vice versa. This put...
Audun Jøsang, Zied Elouedi
FSTTCS
2006
Springer
15 years 10 months ago
Computationally Sound Symbolic Secrecy in the Presence of Hash Functions
The standard symbolic, deducibility-based notions of secrecy are in general insufficient from a cryptographic point of view, especially in presence of hash functions. In this paper...
Véronique Cortier, Steve Kremer, Ralf K&uum...
DBPL
1991
Springer
76views Database» more  DBPL 1991»
15 years 9 months ago
A Functional DBPL Revealing High Level Optimizations
We present a functional DBPL in the style of FP that facilitates the definition of precise semantics and opens up opportunities for far-reaching optimizations. The language is int...
Martin Erwig, Udo W. Lipeck
WSC
2007
15 years 8 months ago
Extension of the direct optimization algorithm for noisy functions
DIRECT (DIviding RECTangles) is a deterministic global optimization algorithm for bound-constrained problems. The algorithm, based on a space-partitioning scheme, performs both gl...
Geng Deng, Michael C. Ferris