نتایج جستجو برای: Kolmogorov-type population dynamics

تعداد نتایج: 2330537  

Journal: :bulletin of the iranian mathematical society 2015
l. tan z. hou x. yang

in this paper we use a class of stochastic functional kolmogorov-type model with jumps to describe the evolutions of population dynamics. by constructing a special lyapunov function, we show that the stochastic functional differential equation associated with our model admits a unique global solution in the positive orthant, and, by the exponential martingale inequality with jumps, we dis...

Journal: :Journal of Mathematical Analysis and Applications 2008

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز 1381

‏‎the community dynamics of aquatic coleoptera(insecta)in one of the spring-stream habitats of bammo national park in fars province called cheshmeh-ye-ghanbari is studied as a pilot project and model for acquaintance with and furthering the biodiversity studies on fauna of iran. sixteen species-populations out of nineteen of this community were already identified for their taxonomy and for thei...

In this paper we use a class of stochastic functional Kolmogorov-type model with jumps to describe the evolutions of population dynamics. By constructing a special Lyapunov function, we show that the stochastic functional differential equation associated with our model admits a unique global solution in the positive orthant, and, by the exponential martingale inequality with jumps, we dis...

2003
I. Akushevich L. Akushevich K. Manton A. Yashin

Two models for making population forecasts are presented and discussed. One of them is based on an analytical Gaussian solution of the Kolmogorov-Fokker-Planck equation and regression model for risk factor dynamics. The second is based on more general diffusion type stochastic differential equations. Numerical schemes for parameter estimation from longitudinal data and for forecasting are discu...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده مهندسی 1389

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

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