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E-book

Title A short history of mathematical population dynamics / Nicolas Bacaër
Published New York : Springer Verlag, 2011

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Description 1 online resource (160 pages) : illustrations
Contents 1. The Fibonacci sequence (1202) -- 2. Halley's life table (1693) -- 3. Euler and the geometric growth of populations (1748-1761) -- 4. Daniel Bernoulli, d'Alembert and the inoculation of smallpox (1760) -- 5. Malthus and the obstacles to geometric growth (1798) -- 6. Verhulst and the logistic equation (1838) -- 7. Bienaymé, Cournot and the extinction of family names (1845-1847) -- 8. Mendel and heredity (1865) -- 9. Galton, Watson and the extinction problem (1873-1875) -- 10. Lotka and stable population theory (1907-1911) -- 11. The Hardy-Weinberg law (1908) -- 12. Ross and malaria (1911) -- 13. Lotka, Volterra and the predator-prey system (1920-1926) -- 14. Fisher and natural selection (1922) -- 15. Yule and evolution (1924) -- 16. McKendrick and Kermack on epidemic modelling (1926-1927) -- 17. Haldane and mutations (1927) -- 18. Erlang and Steffensen on the extinction problem (1929-1933) -- 19. Wright and random genetic drift (1931) -- 20. The diffusion of genes (1937) -- 21. The Leslie matrix (1945) -- 22. Percolation and epidemics (1957) -- 23. Game theory and evolution (1973) -- 24. Chaotic populations (1974) -- 25. China's one-child policy (1980) -- 26. Some contemporary problems
Summary This book traces the history of population dynamics--a theoretical subject closely connected to genetics, ecology, epidemiology and demography--where mathematics has brought significant insights. It presents an overview of the genesis of several important themes: exponential growth, from Euler and Malthus to the Chinese one-child policy; the development of stochastic models, from Mendel's laws and the question of extinction of family names to percolation theory for the spread of epidemics, and chaotic populations, where determinism and randomness intertwine. From a different perspective, it also shows the problems that scientists face when governments ask for reliable predictions to help control epidemics (AIDS, SARS, swine flu), manage renewable resources (fishing quotas, spread of genetically modified organisms) or anticipate demographic evolutions such as aging. -- from Back Cover
Analysis wiskunde
mathematics
geschiedenis
history
populatiegenetica
population genetics
populatiedynamica
population dynamics
mathematische biologie
mathematical biology
wetenschap
science
computerwetenschappen
computer sciences
Mathematics (General)
Wiskunde (algemeen)
Notes Print version record
Subject Mathematical models -- History and criticism
Population forecasting.
Population genetics.
Modelos matemáticos -- Historia y crítica
Mathematical models
Population forecasting
Population genetics
Genre/Form Criticism, interpretation, etc.
Form Electronic book
Author Bacaër, Nicolas
ISBN 9780857291158
0857291157