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Non-intrusive imprecise stochastic simulation by line sampling
, 2020The non-intrusive imprecise stochastic simulation (NISS) is a general framework for the propagation of imprecise probability models and analysis of reliability.
Jingwen Song +4 more
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Stochastic Simulation of the Chemoton
Artificial Life, 2009Gánti's chemoton model is an illustrious example of a minimal cell model. It is composed of three stoichiometrically coupled autocatalytic subsystems: a metabolism, a template replication process, and a membrane enclosing the other two. Earlier studies on chemoton dynamics yield inconsistent results.
Sven Van Segbroeck +2 more
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ACM SIGAPL APL Quote Quad, 1990
Some recent work on stochastic simulation in APL is reviewed, yielding ideas on future developments and efforts in this area.
Alan M. Sykes, Alan J. Watkins
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Some recent work on stochastic simulation in APL is reviewed, yielding ideas on future developments and efforts in this area.
Alan M. Sykes, Alan J. Watkins
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Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 2019
Nowadays, mathematical modeling is playing a key role in many different research fields. In the context of system biology, mathematical models and their associated computer simulations constitute essential tools of investigation.
Giulia Simoni +3 more
semanticscholar +1 more source
Nowadays, mathematical modeling is playing a key role in many different research fields. In the context of system biology, mathematical models and their associated computer simulations constitute essential tools of investigation.
Giulia Simoni +3 more
semanticscholar +1 more source
2009
Stochastic simulations may be used to describe changes with time of a reaction system in a way that explicitly accounts for the fact that molecules show a significant degree of randomness in their dynamic behavior. The stochastic approach is almost invariably used when small numbers of molecules or molecular assemblies are involved because this ...
Maria J, Schilstra, Stephen R, Martin
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Stochastic simulations may be used to describe changes with time of a reaction system in a way that explicitly accounts for the fact that molecules show a significant degree of randomness in their dynamic behavior. The stochastic approach is almost invariably used when small numbers of molecules or molecular assemblies are involved because this ...
Maria J, Schilstra, Stephen R, Martin
openaire +2 more sources
A Stochastic Simulation of the Decision to Retweet
2013Twitter is a popular microblogging platform that sees a vast increase in use as a marketing communication tool. For any marketing campaign to be successful, word-of-mouth is an essential component. The equivalent of word-of-mouth propagation in Twitter is the retweeting of a message.
Hochreiter, Ronald +1 more
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Prescribed-Time Output-Feedback Control of Stochastic Nonlinear Systems
IEEE Transactions on Automatic Control, 2023We present prescribed-time output-feedback-stabilizing designs for stochastic nonlinear strict-feedback systems. We first propose a new nonscaling output-feedback control scheme to solve the prescribed-time mean-square stabilization problem for ...
Wuquan Li, M. Krstić
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2004
AbstractStochastic simulation, as a tool in decision analysis, is introduced and illustrated with a simple dairy farm budgeting example. Then sampling techniques that are commonly used in stochastic simulation are described, followed by a discussion and illustration of methods to account for stochastic dependency among input variables. Finally, the way
J. B. Hardaker +3 more
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AbstractStochastic simulation, as a tool in decision analysis, is introduced and illustrated with a simple dairy farm budgeting example. Then sampling techniques that are commonly used in stochastic simulation are described, followed by a discussion and illustration of methods to account for stochastic dependency among input variables. Finally, the way
J. B. Hardaker +3 more
openaire +1 more source