Results 21 to 30 of about 6,659,086 (346)
Stochastic simulation under input uncertainty: A Review
, 2020 Stochastic simulation is an invaluable tool for operations-research practitioners for the performance evaluation of systems with random behavior and mathematically intractable performance measures.
C. G. Corlu, A. Akçay, Wei Xie
semanticscholar +1 more source
Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method [PDF]
, 2014 BackgroundBiochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need ...
Barrio Solórzano, Manuel +11 more
core +1 more source
Replication or Exploration? Sequential Design for Stochastic Simulation Experiments [PDF]
Technometrics, 2017 We investigate the merits of replication, and provide methods for optimal design (including replicates), with the goal of obtaining globally accurate emulation of noisy computer simulation experiments.
M. Binois +3 more
semanticscholar +1 more source
Parallel implementation of stochastic simulation for large-scale cellular processes [PDF]
, 2005 Experimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional ...
Kevin Burrage +6 more
core +1 more source
Entropy, 2019 We show a link between Bayesian inference and information theory that is useful for model selection, assessment of information entropy and experimental design.
Sergey Oladyshkin, Wolfgang Nowak
doaj +1 more source
A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
core +1 more source
Energies, 2022 Hydropower is the most widely used renewable power source worldwide. The current work presents a methodological tool to determine the hydropower potential of a reservoir based on available hydrological information.
Katerina Spanoudaki +3 more
doaj +1 more source
FERN – a Java framework for stochastic simulation and evaluation of reaction networks
BMC Bioinformatics, 2008 Background Stochastic simulation can be used to illustrate the development of biological systems over time and the stochastic nature of these processes.
Zimmer Ralf +2 more
doaj +1 more source
Network Analysis for the Improvement of Food Safety in the International Honey Trade [PDF]
Amfiteatru Economic, 2018 Honey, this relatively homogenous, hard to trace product, characterised by considerable international price differences, and often regulated by high tariff barriers, lends itself to economically motivated product adulteration. The adulteration of honey
József Popp +5 more
doaj +1 more source
Algorithms, 2022 Motivation: Precise tracking of individual cells—especially tracking the family lineage, for example in a developing embryo—has widespread applications in biology and medicine.
Huy Pham +4 more
doaj +1 more source