Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods.

Deutsch, Andreas / Bravo de la Parra, R. / de Boer, R.J. / et. al. (Hrsg.):

ISBN 10: 0817645551 / ISBN 13: 9780817645557

Edité par Birkhäuser Verlag, Basel, Boston, Berlin, 2008

A propos de cet article

Gr.8° 386 Seiten; Orig.-Pappband; 680g; [Englisch]; fine / kaum Gebrauchsspuren 1. Edition; this volume contains a selection of chapters that are an outgrowth of the European Conference of Mathematical and Theoretical Biology (Dresden, 2005) [lgr=L] _ xXx_.

N° de réf. du vendeur 40490

Détails bibliographiques

• Titre: Mathematical Modeling of Biological Systems, Volume II: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods.
• Éditeur: Birkhäuser Verlag, Basel, Boston, Berlin
• Date de parution: 2008
• ISBN à 10 chiffres: 0817645551
• ISBN à 13 chiffres: 9780817645557
• Reliure: Couverture rigide
• Édition: 1. Edition;.
• État de l'article: Sehr gut
• Poids: 680 grammes
• Type de livre: BUCH
• Catalogues du vendeur:
  • Biowissenschaften

A propos de ce titre

Synopsis

Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods.

The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.