Items related to Evolution of Biological Systems in Random Media: Limit...

Evolution of Biological Systems in Random Media: Limit Theorems and Stability: 18 (Mathematical Modelling: Theory and Applications, 18) - Hardcover

Book 6 of 12: Mathematical Modelling: Theory and Applications

Swishchuk, Anatoly; Jianhong Wu

 
9781402015540: Evolution of Biological Systems in Random Media: Limit Theorems and Stability: 18 (Mathematical Modelling: Theory and Applications, 18)

Synopsis

This is a new book in biomathematics, which includes new models of stochastic non-linear biological systems and new results for these systems. These results are based on the new results for non-linear difference and differential equations in random media. This book contains:

-New stochastic non-linear models of biological systems, such as biological systems in random media: epidemic, genetic selection, demography, branching, logistic growth and predator-prey models;
-New results for scalar and vector difference equations in random media with applications to the stochastic biological systems in 1);
-New results for stochastic non-linear biological systems, such as averaging, merging, diffusion approximation, normal deviations and stability;
-New approach to the study of stochastic biological systems in random media such as random evolution approach.

"synopsis" may belong to another edition of this title.

Synopsis

This is a new book in biomathematics, which includes new models of stochastic non-linear biological systems and new results for these systems. These results are based on the new results for non-linear difference and differential equations in random media. This book contains: new stochastic non-linear models of biological systems, such as biological systems in random media: epidemic, genetic selection, demography, branching, logistic growth and predator-prey models; new results for scalar and vector difference equations in random media with applications to the stochastic biological systems; new results for stochastic non-linear biological systems, such as averaging, merging, diffusion approximation, normal deviations and stability; and new approach to the study of stochastic biological systems in random media such as random evolution approach.

"About this title" may belong to another edition of this title.