Stock image for illustration purposes only - book cover, edition or condition may vary.
Evolution of Biological Systems in Random Media
Swishchuk, A. (York University, Toronto, On, Canada); Wu, Jianhong
€ 66.76
FREE Delivery in Ireland
Description for Evolution of Biological Systems in Random Media
Hardback. Containing stochastic non-linear models of biological systems, this book in biomathematics presents results for scalar and vector difference equations in random media with applications to the stochastic biological systems. It also offers an approach to the study of stochastic biological systems in random media such as random evolution approach. Series: Mathematical Modelling: Theory and Applications. Num Pages: 238 pages, biography. BIC Classification: PDE; PS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 14. Weight in Grams: 1140.
The book is devoted to the study of limit theorems and stability of evolving biologieal systems of "particles" in random environment. Here the term "particle" is used broadly to include moleculas in the infected individuals considered in epidemie models, species in logistie growth models, age classes of population in demographics models, to name a few. The evolution of these biological systems is usually described by difference or differential equations in a given space X of the following type and dxt/dt = g(Xt, y), here, the vector x describes the state of the considered system, 9 specifies how the system's states ... Read more
The book is devoted to the study of limit theorems and stability of evolving biologieal systems of "particles" in random environment. Here the term "particle" is used broadly to include moleculas in the infected individuals considered in epidemie models, species in logistie growth models, age classes of population in demographics models, to name a few. The evolution of these biological systems is usually described by difference or differential equations in a given space X of the following type and dxt/dt = g(Xt, y), here, the vector x describes the state of the considered system, 9 specifies how the system's states ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Kluwer Academic Publishers United States
Number of pages
238
Condition
New
Series
Mathematical Modelling: Theory and Applications
Number of Pages
218
Place of Publication
New York, NY, United States
ISBN
9781402015540
SKU
V9781402015540
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Evolution of Biological Systems in Random Media