[PDF] Top 20 Population dynamics and stochastic particle systems
Has 10000 "Population dynamics and stochastic particle systems" found on our website. Below are the top 20 most common "Population dynamics and stochastic particle systems".
Population dynamics and stochastic particle systems
... interacting particle systems It is natural and useful to construct interacting particle systems via a probabilis- tic or graphical representation which was introduced by Harris in 1972 ... See full document
117
Analytical Valuation of Contingent Claims by Stochastic Interacting Systems for Stock Market
... of stochastic interacting particle dynamic systems to investigate the statistical properties of fluctuations of stock prices in a stock market, and the corresponding valuation and hedging of ... See full document
8
Asymptotic properties of stochastic population dynamics
... in population dynamics we refer the reader to Gard [6, 7, ...of stochastic modelling has also been used widely in mathemtical finance, for example, in the Nobel prize winning model, ...a ... See full document
18
Monotonicity and condensation in homogeneous stochastic particle systems
... (attractive) particle systems preserve the partial order on the state space in time, which enables the use of powerful coupling techniques to derive rigorous results on large scale dynamic properties such ... See full document
30
Beyond the quasi-particle: Stochastic domain wall dynamics in soft ferromagnetic nanowires
... DW dynamics in comparison to that during free-propagation, which we postulated to closely resemble the cases where DWs were ballistically injected by the current ... See full document
15
Derivation of mean field equations for stochastic particle systems
... • Mean-field equations (11) are often used as approximations in other geometries such as symmetric or asymmetric dynamics on d-dimensional regular lattices. As usual, the larger the dimension the better the ... See full document
27
Population and evolutionary adaptive dynamics of a stochastic predator-prey model
... After the pioneering work of Hadeler and Freedman [1] on three species eco-epidemiological systems, namely, sound prey (susceptible), infected prey (infective) and predator have been studied extensively by ... See full document
22
Large deviations and metastability in condensing stochastic particle systems
... In Chapter 4 we demonstrated how we may exploit the generality of the scales used in Chapter 3 to study the leading order finite-size effects in a condensing zero-range process around the critical point. It was shown ... See full document
189
Strongly overdamped dissipative particle dynamics for fluid-solid systems
... Brownian dynamics systems and their behaviour have been extensively studied and well established, but no such studies exist for overdamped DPD ...stiff stochastic differential equa- tions for which ... See full document
34
Stochastic population dynamics under regime switching II
... shown that the presence of such noise affects population systems significantly. For example, Takeuchi et. al. [26] consider a predator-prey Lotka–Volterra model with Markovian switching between two regimes ... See full document
26
Stochastic population dynamics in spatially extended predator-prey systems
... in Ref. [219]. Yet of course the very simplified idealized models studied here cannot possibly capture the full complexity encountered in natural ecosystems. Nevertheless, we believe that the distinct physics approach of ... See full document
54
Dynamics of condensation in stochastic particle systems
... macroscopic systems in terms of microscopic components governed by local ...biology systems to generic dynamics in evolution, from traffic dynamics to wealth ...microscopic dynamics in ... See full document
168
Large scale dynamics and fluctuations in non equilibrium stochastic particle systems
... the particle current as one of the most important characteristics of nonequilibrium systems in one ...a stochastic lattice ...one particle) [42, 14], also in combination with the matrix ... See full document
141
A branching particle system approximation for a class of FBSDEs
... backward stochastic differential equations (FBSDEs) is proposed by using branching particle systems in a random ...finite particle systems are constructed to obtain the approx- imate ... See full document
34
Stochastic Hybrid Systems in Cellular Neuroscience
... One of the useful features of the tug-of-war model is that it allows various bio- physical processes to be incorporated into the model. For example, a convenient experimental method for changing the stalling force (and ... See full document
71
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
Analysis of a Stochastic Predator-Prey Model in Polluted Environments
... are affected by n independent standard Brownian motions, we have proposed and investigated a stochastic predator- prey populations model in polluted environments. We have established the existence, uniqueness and ... See full document
12
Molecular Dynamics Simulation in Arbitrary Geometries for Nanoscale Fluid Mechanics
... the dynamics of the system [93–98], where the fluxes across the mesh faces are calculated from some of the same information used to (dynamically) create the ... See full document
256
Demography and population dynamics of mountain nyala (Tragelaphus buxtoni) before its population crash in 1991 in the bale mountains national park, Ethiopia
... of population density and stress (Clutton- Brock and Iason, ...the population had better chance of increased reproduction than post population crash ...total population number was higher ... See full document
10
Stochastic Analysis, Model and Reliability Updating of Complex Systems with Applications to Structural Dynamics
... Model updating using measured system response, with or without measured excitation, has a wide range of applications in response prediction, reliability and risk assessment, and control of dynamic systems and ... See full document
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