Complex Population Dynamics: Nonlinear Modeling In Ecology, Epidemiology And Genetics
Saved in:
| Title: | Complex Population Dynamics: Nonlinear Modeling In Ecology, Epidemiology And Genetics |
|---|---|
| Description: | This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems. Theoretical mathematical models are perhaps one of the most powerful approaches available for increasing our understanding of the complex population dynamics in these natural systems. Exciting new techniques are currently being developed to meet this challenge, such as generalized or structural modeling, adaptive dynamics or multiplicative processes. Many of these new techniques stem from the field of nonlinear dynamics and chaos theory, where even the simplest mathematical rule can generate a rich variety of dynamical behaviors that bear a strong analogy to biological populations. |
| Authors: | Bernd Blasius, Juergen Kurths, Lewi Stone |
| Resource Type: | eBook. |
| Subjects: | Epidemiology, Mathematics, Ecology, Genetics--Mathematical models, Population biology--Mathematical models, Ecology--Mathematical models, Epidemiology--Mathematical models, Biological models |
| Categories: | SCIENCE / Chaotic Behavior in Systems, MEDICAL / Epidemiology, SCIENCE / Life Sciences / Genetics & Genomics |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | This collection of review articles is devoted to the modeling of ecological, epidemiological and evolutionary systems. Theoretical mathematical models are perhaps one of the most powerful approaches available for increasing our understanding of the complex population dynamics in these natural systems. Exciting new techniques are currently being developed to meet this challenge, such as generalized or structural modeling, adaptive dynamics or multiplicative processes. Many of these new techniques stem from the field of nonlinear dynamics and chaos theory, where even the simplest mathematical rule can generate a rich variety of dynamical behaviors that bear a strong analogy to biological populations. |
|---|---|
| ISBN: | 9789812771575 9789812771582 |
