1.

Record Nr.

UNISA996466506403316

Titolo

Tutorials in Mathematical Biosciences IV [[electronic resource] ] : Evolution and Ecology / / edited by Avner Friedman

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008

ISBN

3-540-74331-6

Edizione

[1st ed. 2008.]

Descrizione fisica

1 online resource (VII, 210 p.)

Collana

Mathematical Biosciences Subseries, , 2524-6771 ; ; 1922

Disciplina

576.801/5118

Soggetti

Biomathematics

Mathematical and Computational Biology

Physiological, Cellular and Medical Topics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Inference of Phylogenetic Trees -- Large-Scale Phylogenetic Analysis of Emerging Infectious Diseases -- Reaction–Diffusion Equations and Ecological Modeling -- The Dynamics of Migration–Selection Models -- Some Challenging Mathematical Problems in Evolution of Dispersal and Population Dynamics.

Sommario/riassunto

The book offers an easy introduction to fast growing research areas in evolution of species, population genetics, ecological models, and population dynamics. The first two chapters review the concept and methodologies of phylogenetic trees; computational schemes and illustrations are given, including applications such as tracing the origin of SARS and influenza. The third chapter introduces the reader to ecological models, including predator-prey models. This chapter includes and introduction to reaction-diffusion equations, which are used to analyze the ecological models. The next chapter reviews a broad range of ongoing research in population dynamics, including evolution of dispersal models; it also features interesting mathematical theorems and lists open problems. The final chapter deals with gene frequencies under the action of migration and selection. The book is addressed to readers at the level of grad students and researchers. A background in PDEs is provided.