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HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
13 years 11 months ago
Stochastic Formal Methods: An Application to Accuracy of Numeric Software
— This paper provides a bound on the number of numeric operations (fixed or floating point) that can safely be performed before accuracy is lost. This work has important implic...
Marc Daumas, David Lester
VMCAI
2005
Springer
13 years 10 months ago
An Overview of Semantics for the Validation of Numerical Programs
Interval computations, stochastic arithmetic, automatic differentiation, etc.: much work is currently done to estimate and to improve the numerical accuracy of programs but few c...
Matthieu Martel
BMCBI
2004
323views more  BMCBI 2004»
13 years 4 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
WOSP
2004
ACM
13 years 10 months ago
From UML activity diagrams to Stochastic Petri nets: application to software performance engineering
Over the last decade, the relevance of performance evaluation in the early stages of the software development life-cycle has been steadily rising. We honestly believe that the int...
Juan Pablo López-Grao, José Mersegue...
ANOR
2006
133views more  ANOR 2006»
13 years 4 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...