Particle algorithms for population dynamics in flows

نویسندگان

  • Prasad Perlekar
  • Roberto Benzi
  • Simone Pigolotti
  • Federico Toschi
چکیده

We present and discuss particle based algorithms to numerically study the dynamics of population subjected to an advecting flow condition. We discuss few possible variants of the algorithms and compare them in a model compressible flow. A comparison against appropriate versions of the continuum stochastic Fisher equation (sFKPP) is also presented and discussed. The algorithms can be used to study populations genetics in fluid environments.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Overview of Direct Numerical Simulation of Particle Entrainment in Turbulent Flows

An overview of removal and re-entrainment of particles in turbulent flows is presented. The procedure for the direct numerical simulation (DNS) of the Navier-Stokes equation via a pseudospectral method for simulating the instantaneous fluid velocity field is described. Particle removal mechanisms in turbulent flows in a duct are examined and effects of the near-wall coherent eddies on the parti...

متن کامل

Developing a Dynamic Regression Model for Predicting Future Operating Cash Flow

The purpose of this research is to develop a dynamic regression model for prediction of future operating cash flows of firms accepted in Tehran Stock Exchange. So, the information of 250 companies were considered during 2004 to 2017. In this study, operational and economic variables were added to the fundamental model of Bart, Cram and Nelson (BCN). Due to the simultaneous effect of sales growt...

متن کامل

Multi-objective optimization of nanofluid flow in microchannel heat sinks with triangular ribs using CFD and genetic algorithms

Abstract In this paper, multi-objective optimization (MOO) of Al2O3-water nanofluid flow in microchannel heat sinks (MCHS) with triangular ribs is performed using Computational Fluid Dynamics (CFD) techniques and Non-dominated Sorting Genetic Algorithms (NSGA II). At first, nanofluid flow is solved numerically in various MCHS with triangular ribs using CFD techniques. Finally, the CFD data will...

متن کامل

A Preemptive multimode resource constrained project scheduling model with cash flows

Resource constrained project scheduling problem is one of the most important issues in project planning and management. The objective function of this problem is to minimize the completion time of a project. When there is budget constraint or high risk for investment, using the criteria such as cash flows is so important. The development of computer systems and processors makes it possible to t...

متن کامل

روش‌های مدل‌سازی تطوری در اقتصاد (با تاکید بر عناصر مشترک سازنده آنها)

In this paper we have tried mention to some sort of thewell-known evolutionary modeling approaches in economic territory such as Multi Agent simulations, Evolutionary Computation and Evolutionary Game Theory. As it has been mentioned in the paper, in recent years, the number of Evolutionary contributions applied to Multi-Agent models increased remarkably. However until now there is no consensus...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011