Titlebook: Evolution and Control in Biological Systems; Proceedings of the I A. B. Kurzhanski,K. Sigmund Conference proceedings 1989 Kluwer Academic P

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https://doi.org/10.1007/978-3-663-02404-0what the general properties of a marriage function should be (Fredrickson 1971, see properties 1), 2), 3) below). For such functions we derive a theory of pair formation, that continues and in some sense completes earlier work on this topic. In (Hadeler et al. 1988) we have developed an approach to

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https://doi.org/10.1007/978-3-663-04803-9ve that we can formulate a deterministic theory about individual life. So we need a formulation allowing variation between individuals, seemingly in the same conditions, i. e. we need a stochastic description. The most general such models (though still not general enough!) are those furnished by the

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https://doi.org/10.1007/978-3-322-87723-9des the healthy state of an organism such distribution is also of significance for disease states. Any maldistribution could be a symptom of a disease, for example, in humans, Hodgkin’s disease, hepatitis B, psoriasis, and chronic lymphocytic leukemia. Thus quantification of the norm of distribution

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Distribution of Recirculating Lymphocytes: A Stochastic Model Foundationdes the healthy state of an organism such distribution is also of significance for disease states. Any maldistribution could be a symptom of a disease, for example, in humans, Hodgkin’s disease, hepatitis B, psoriasis, and chronic lymphocytic leukemia. Thus quantification of the norm of distribution

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https://doi.org/10.1007/978-94-009-2358-4AIDS; Markov; Simulation; game theory; infectious disease; mathematical modeling; metabolism; model; modelin

Calculus

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