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Mathematical Modeling Of Biological Population Process
Submission Deadline: May 20, 2018
Lead Guest Editor
Muhamediyeva Dildora
Center for Development Hardware and Software Products Under TUIT, Tashkent University of Information Technologies Named After Al Kharezmi, Tashkent, Uzbekistan
Guest Editors
  • Aripov Mersaid
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Bekmuratov Tulkun
    Center for Development Hardware and Software Products Under TUIT, Tashkent University of Information Technologies Named After Al Kharezmi, Tashkent, Uzbekistan
  • Fayazov Kudratillo
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Khaydarov Abdugappar
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Fayazova Zarina
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Kabiljanova Firuza
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Rahmonov Zafar
    Applied Mathematics, National University of Uzbekistan, Tashkent, Uzbekistan
  • Mingikulov Zafar
    Center for Development Hardware and Software Products Under TUIT, Tashkent University of Information Technologies Named After Al Kharezmi, Tashkent, Uzbekistan
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
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Published Papers
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Introduction
In the world wide distribution of mathematical models of processes described by quasilinear parabolic equations, due to the fact that they are derived from the fundamental conservation laws. Therefore, it is possible that the process of biological populations and physical process that does not have at first glance nothing in common, describe the same nonlinear diffusion equation, only with different numerical parameters. Studies show that the nonlinearities change not only the quantitative characteristics of the processes, but the qualitative picture of their behavior. Interestingly, from the point of view of applications to study the following classes of nonlinear differential equations in which the unknown function and the derivative of this function consists of exponential way. Then, with the comparison theorems of solutions of this class can be extended. In this case, to find a suitable solution of the differential inequality is easier than any exact solution of parabolic equations describing nonlinear processes biological populations.

Aims and Scope:

Reaction-diffusion
Nonlinear tasks
Biological population
Mathematical modeling
Numerical experiment
Visualization
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