[PDF] Top 20 Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
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Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
... la simulation de mod` eles de r´ eactions hybrides stochastiques/d´ eterministes permettant ` a la fois d’avoir recours ` a des pas de temps adaptatifs dans l’int´ egration des ´ equations d´ eterministes et de ... See full document
13
Simplifying Stochastic Mathematical Models of Biochemical Systems
... of biochemical reactions within a cell is crucial for understanding cellular dynamics ...as systems of chemical ...In systems with some low molecular populations, the random fluctuations associated ... See full document
9
Derivation of process algebraic models of biochemical systems
... biological systems have traditionally been mod- eled using dierential ...biological systems has been published in form of deterministic dierential ...for simulation of such ...a ... See full document
136
Adaptive correction of deterministic models to produce probabilistic forecasts
... the adaptive gain behaves in a less than ideal ...current simulation of the flood forecasting ...past simulation of the flood forecasting model and the corresponding adaptive ... See full document
17
The stochastic multiplicative cascade structure of deterministic numerical models of the atmosphere
... cades models were developed. These phenomenological models are designed to reproduce some of the symmetries of the governing dynamical equations, specifically the scale by scale conservation of turbulent ... See full document
15
Asynchronous coupling of hybrid models for efficient simulation of multiscale systems
... between models, i.e. on the magnitude of S i . For coupled models that are highly scale separated ( S i > S tol ), the smaller-scale model will remain quasi-equilibrated to the dynamics of the ... See full document
13
Delay-dependent robust stability of stochastic delay systems with Markovian switching
... of hybrid stochastic delay systems, one of the important issues in the study of stochastic systems, has received considerable ...of hybrid stochastic delay ...of ... See full document
6
A comparison of stochastic systems with different types of delays
... to stochastic models with delays in this paper) have enjoyed considerable research attention in the past decade, especially the efforts on the development of algorithms to simulate such systems ...to ... See full document
42
A decision support system for strategic maintenance planning in offshore wind farms
... Table 4: Comparison of results between the deterministic and stochastic models Deterministic model Technicians Turbine technician onshore Foundation technician Electrical Technician Turb[r] ... See full document
32
Incorporating terminal velocities into Lagrangian stochastic models of particle dispersal in the atmospheric boundary layer
... Lagrangian stochastic models for simulation of tracer-particle trajectories [1] I have assumed that the turbulent velocities experienced by particles along their trajectories can be represented as ... See full document
17
An improved bat algorithm with artificial neural networks for classification problems
... Although, deterministic techniques such as BPNN, Recurrent Neural Networks (RNN) or Levenberg-Marquardt (LM) have been used extensively in many optimization problems but these methods face slow convergence or ... See full document
62
Can geocomputation save urban simulation? Throw some agents into the mixture, simmer and wait ...
... with systems that are already used in planning ...micro-scale models we are developing can be viewed as a logical extension of the ‘traditional’ model ...between models, a set of constraints ... See full document
37
Models for the analysis of tunnelling construction processses
... general, simulation modelling can be distinguished into two main categories, namely ‘general purpose simulation systems’ and ‘special purpose simulation ...purpose simulation tools ... See full document
185
A Comparison of Threshold Parameters in Deterministic SIS and SI1I2S Models and Stochastic SIS and SI1I2S Models.
... disease free state. To determine the long term average behavior of the stochastic model we run numerical simulations for 1,000 trials at higher time steps. Figures 2.2b-d show the results of these simulations. We ... See full document
52
Deterministic Models of the Physical Layer through Signal Simulation
... and deterministic models of the network protocol layers, whereas rather simple and stochastic models, based on the signal-to-noise ratio, are used for the simulation of the phys- ical ... See full document
8
Hybrid simulation:historical lessons, present challenges and futures
... Hybrid simulation in health: Healthcare has been a particularly fruitful application area for hybrid simulation ...healthcare systems, which are characterized by complexity, ... See full document
16
Comparison between stochastic and deterministic selection-mutation models
... We performed many other numerical simulations with different λ values. In these sim- ulations, we obtain many cases where the stochastic model differs from the deterministic one in picking the winning trait ... See full document
18
Simulation of malaria epidemiology and control in the highlands of western Kenya
... [54]. Simulation results indicate that changes in temperature resulting in a change in EIP or resting dur- ation and changes in the overall volume of rainfall resulting in a slight change in EIR are not likely to ... See full document
14
Deterministic and Stochastic Schistosomiasis Models with General Incidence
... mathematical models for schistosomiasis dis- ease have been done ([4-15] and the references ...therein). Stochastic differential equation (SDE) model is a natural generalization of ordinary differential ... See full document
12
Stochastic Hybrid Systems in Cellular Neuroscience
... of stochastic hybrid ...piecewise deterministic differential equation, which can be used to generate sample paths of the stochastic ...channel models of ...a deterministic ... See full document
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