Vito Volterra Symposium on Mathematical Models in Biology
Springer Berlin (Verlag)
978-3-540-10279-3 (ISBN)
Topic I Models of Natural Selection.- Models of Natural Selection.- Stochastic Theory of Population Genetics and Evolution.- Natural Selection and Continuous Variation.- Some Models for the Evolution of Adaptive Traits.- Evolutionary Game Theory.- Variability and Permanence in Molecular Genetics.- Evolution in Human Populations: Data and Models.- Models of Density- and Frequency- Dependent Selection for the Exploitation of Resources. II. Coevolution of Species in Competition.- Intraspecific Competition and Evolution.- Ecological Implications of Natural Selection.- Topic II Problems in Population Biology and Related Disciplines.- Areas of Overlap of Population Genetics with Related Disciplines.- Completeness and Craft Standards in Ecological Theory.- A Theoretical Approach to the Dynamics of Single Populations.- Stochastic Equations in Neurobiology and Population Biology.- Models for Vector-Borne Parasitic Diseases.- The Dynamics and Control of Direct Life Cycle Helminth Parasites.- Epidemiologic Models of Bacterial Diseases.- Strategic Planning Models for Rubella Vaccination Programmes.- The Cybernetics of Biological Macromolecules.- A Pattern Formation Mechanism and its Application to Mammalian Coat Markings.- Cell Growth as an Autocatalytic Relaxation Process.- Vito Volterra and Contemporary Mathematical Biology.
Erscheint lt. Verlag | 1.12.1980 |
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Reihe/Serie | Lecture Notes in Biomathematics |
Zusatzinfo | VI, 418 p. 20 illus. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 170 x 244 mm |
Gewicht | 700 g |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Mathematik / Informatik ► Mathematik ► Algebra | |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
Schlagworte | Biologisch-mathematisches Modell • Dynamics • Evolution (Biol.) • Genetics • Mathematical Biology • Mathematics • Population • Population biology |
ISBN-10 | 3-540-10279-5 / 3540102795 |
ISBN-13 | 978-3-540-10279-3 / 9783540102793 |
Zustand | Neuware |
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