Modelling and optimization of complex system : proceedings of the IFIP-TC 7 Working Conference, Novosibirsk, USSR, 3-9 July, 1978
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書誌事項
Modelling and optimization of complex system : proceedings of the IFIP-TC 7 Working Conference, Novosibirsk, USSR, 3-9 July, 1978
（Lecture notes in control and information sciences, 18）
Springer-Verlag, 1979
- : gw
- : us
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注記
"Organized by the IFIP Technical Committee on Optimization with the Computing Center of the Siberian Branch of the USSR Academy of Sciences and sponsored by the USSR Academy of Sciences."
Includes bibliographies
内容説明・目次
目次
Maximum likelihood identification of an immune response model.- Stochastic model of the immune response.- A computational method for hierachical optimization of complex systems.- On regularity of solutions to constratined optimal control problems for systems with control appearing linearly.- Bilinear control structures in immunology.- Mathematical model of a disease and some results of numerical experiments.- Chronic forms of a disease and their treatment according to mathematical immune response models.- The effect of a time lag in the immune reaction.- Immunological aspects of neoplastic growth.- Structure functional arrangement of the immune system.- Mathematical models in immunology and their interpretation.- Clinical immunology: Problems and prospects.- Approximate solution of optimal control problems.- Numerical solution of adaptation problems by means of an evolution strategy.- Some models of taking optimal decisions in standardization.- On optimal control of discrete systems with delays.- Analysis of the influence of a system on objects as a problem of transformation of data tables.- On non-parametric algorithms of optimization.- Approximate solutions of an integer linear programming problem with resource variations.- On technology of modelling and optimization of complex systems.- Application of optimization methods to the problem of mathematical simulation of atmospheric processes and environment.- Optimum design of a magnet with finite elements.- Finite elements approximation in state identification of large scale linear space-distributed systems.- Mathematical modelling of socio-economic system.- On one representation of necessary conditions of optimality for discrete controlled systems.
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