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BMCBI
2004
323views more  BMCBI 2004»
13 years 7 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...
CMSB
2007
Springer
14 years 1 months ago
A Unifying Framework for Modelling and Analysing Biochemical Pathways Using Petri Nets
We give a description of a Petri net-based framework for modelling and analysing biochemical pathways, which unifies the qualitative, stochastic and continuous paradigms. Each per...
David Gilbert, Monika Heiner, Sebastian Lehrack
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 7 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
MP
2006
101views more  MP 2006»
13 years 7 months ago
Computational complexity of stochastic programming problems
Stochastic programming is the subfield of mathematical programming that considers optimization in the presence of uncertainty. During the last four decades a vast amount of litera...
Martin E. Dyer, Leen Stougie
CORR
2008
Springer
81views Education» more  CORR 2008»
13 years 7 months ago
Optimal Strategies in Perfect-Information Stochastic Games with Tail Winning Conditions
We prove that optimal strategies exist in perfect-information stochastic games with finitely many states and actions and tail winning conditions.
Florian Horn, Hugo Gimbert