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Some mathematical models in immunology

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Optimization Techniques Part 1

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 6))

Abstract

At the present time immunology has achieved such a success that mathematical simulation is naturally becoming a basic tool in the study of complex processes that take place in a living organism.

Bernet's outstanding investigations of clonal selection stimulated development of theoretical and experimental immunology. His theory has been further refined and specified and now it constitutes a solid basis for mathematical simulation of immune processes.

Today we can say that the immune processes taking place in an organism can be regarded from the viewpoint of description of vital activity of a very complicated system in which optimization processes are included as a natural component. Studies of immune processes in an organism from the viewpoint of the theory of complex systems will make it possible to realize control of these processes particularly in cases when pathologic changes occur in an organism. We can predict that methods of medical treatment of various diseases will be more and more based on profound investigation of mathematical simulation.

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Authors and Affiliations

  1. Computing Center, Novosibirsk, USSR

    G. I. Marchuk

Authors
  1. G. I. Marchuk
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J. Stoer

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© 1978 Springer-Verlag

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Marchuk, G.I. (1978). Some mathematical models in immunology. In: Stoer, J. (eds) Optimization Techniques Part 1. Lecture Notes in Control and Information Sciences, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0007222

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  • DOI: https://doi.org/10.1007/BFb0007222

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-08707-6

  • Online ISBN: 978-3-540-35891-6

  • eBook Packages: Springer Book Archive

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