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- Mathematical modeling of COVID-19 transmission: the roles of intervention strategies and lockdown
- Guide for Authors
Mathematical Modelling and Analysis publishes original research on all areas of mathematical modelling and analysis. More information All future articles will be published under a CC-BY 4.
Calculus 1st-order ordinary differential equations , some programming skills are helpful. This course is aimed at Bachelor students from Mathematics, Engineering and Science disciplines. How do populations grow? How do viruses spread?
Journal of Mathematical Modeling J. It covers all areas of numerical analysis, numerical solutions of differential and integral equations, numerical linear algebra, optimization theory, approximation theory, control theory and fuzzy theory with applications, mathematical modeling in all major areas of applied sciences, computer simulation and parallel algorithms. Toggle navigation. Articles in Press Current Issue. Journal Archive. Volume 9 Issue 1.
Volume 8 Volume 7 Volume 6 Volume 5 Volume 4 Volume 3 Volume 2 Volume 1 Most Visited Articles. Weak Galerkin finite element method for an inhomogeneous Brusselator model with cross-diffusion. Determining the order of minimal realization of descriptor systems without use of the Weierstrass canonical form. Residual norm steepest descent based iterative algorithms for Sylvester tensor equations. Convergence of the multistage variational iteration method for solving a general system of ordinary differential equations.
Publication Information. Publisher University of Guilan. Davod Khojasteh Salkuyeh. Farshid Mehrdoust. Maziar Salahi. Online ISSN Indexing and Abstracting. Mathematical Reviews.
Mathematical modeling of COVID-19 transmission: the roles of intervention strategies and lockdown
Skip to content. Skip to navigation. This is an interdisciplinary project aiming at developing mathematical tools for the analysis, simulation, and modelling the behavior of brain. We consider the problem of state and parameter reconstruction of typical conductance model neurons from in-vitro measurements of membrane potential. Previous reports available in the literature suggest that the problem is ill-posed mathematically, e. In order to deal with this problem we propose a novel technique that is based on the concepts of observer design, phase-space analysis of invariant sets of the model and the concept of weakly attracting sets from dynamical systems theory.
Mathematical Biosciences and Engineering, , 17 5 : Article views PDF downloads 93 Cited by 0. Mathematical Biosciences and Engineering , , 17 5 : Mathematical Biosciences and Engineering , Volume 17 , Issue 5 : Previous Article Next Article. Research article Special Issues.
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Guide for Authors
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In this paper, a nonlinear deterministic model for the dynamics of corruption is proposed and analysed qualitatively using the stability theory of differential equations. The basic reproduction number with respect to the corruption-free equilibrium is obtained using next-generation matrix method. The conditions for local and global asymptotic stability of corruption-free and endemic equilibria are established.
A mathematical model is a description of a system using mathematical concepts and language. The process of developing a mathematical model is termed mathematical modeling. Mathematical models are used in the natural sciences such as physics , biology , earth science , chemistry and engineering disciplines such as computer science , electrical engineering , as well as in non-physical systems such as the social sciences such as economics , psychology , sociology , political science. Mathematical models are also used in music ,  linguistics  and philosophy for example, intensively in analytic philosophy.
Journal of Mathematical Modeling J. It covers all areas of numerical analysis, numerical solutions of differential and integral equations, numerical linear algebra, optimization theory, approximation theory, control theory and fuzzy theory with applications, mathematical modeling in all major areas of applied sciences, computer simulation and parallel algorithms. Toggle navigation. Articles in Press Current Issue. Journal Archive.
This book discusses significant research and study topics related to mathematical modelling and analysis of infectious diseases. It includes several models and modelling approaches with different aims, such as identifying and analysing causes of occurrence and re-occurrence, causes of spreading, treatments and control strategies. A valuable resource for researchers, students, educators, scientists, professionals and practitioners interested in gaining insights into various aspects of infectious diseases using mathematical modelling and mathematical analysis, the book will also appeal to general readers wanting to understand the dynamics of various diseases and related issues. Skip to main content Skip to table of contents.
This module is assessed through a combination of unseen written examination and coursework exercises.