
Modelling and Optimization of Complex System
Proceedings of the IFIP-TC 7 Working Conference, Novosibirsk, USSR, 3-9 July, 1978
G.I. Marchuk(Editor)
Springer (Publisher)
Published on 1. July 1979
Book
Paperback/Softback
VI, 293 pages
978-3-540-09612-2 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
12 s/w Abbildungen
VI, 293 p. 12 illus.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 17 mm
Weight
528 gr
ISBN-13
978-3-540-09612-2 (9783540096122)
DOI
10.1007/BFb0004146
Schweitzer Classification
Content
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.