Modelling and Optimization of Complex System
Proceedings of the IFIP-TC 7 Working Conference, Novosibirsk, USSR, 3¿9 July, 1978
Herausgegeben:Marchuk, Guri I.
Modelling and Optimization of Complex System
Proceedings of the IFIP-TC 7 Working Conference, Novosibirsk, USSR, 3¿9 July, 1978
Herausgegeben:Marchuk, Guri I.
- Broschiertes Buch
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Produktdetails
- Lecture Notes in Control and Information Sciences 18
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-540-09612-2
- 1979.
- Seitenzahl: 304
- Erscheinungstermin: 1. Juli 1979
- Englisch
- Abmessung: 244mm x 170mm x 17mm
- Gewicht: 527g
- ISBN-13: 9783540096122
- ISBN-10: 3540096124
- Artikelnr.: 25272952
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.
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.