Special Issue on Mathematical Modeling Of Biological Population Process

Submission Deadline: May 20, 2018

Please click the link to know more about Manuscript Preparation: http://www.mmajournal.org/submission

  • 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 Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • 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
  • 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

  • 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.

    Papers should be formatted according to the guidelines for authors (see: http://www.mmajournal.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.