The work treats dynamical systems given by ordinary differential equations in the form $\frac{dX^\varepsilon(t)}{dt}=\varepsilon B(X^\varepsilon(t),Y^\varepsilo

"This book presents a collection of articles that cover areas of mathematics related to dynamical systems. The authors are well-known experts who use geometric

This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science. It focuses on recen

This book develops the theory of continuous and discrete stochastic processes within the context of cell biology. In the second edition the material has been si

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and upper bounds for ergod