ISSN:
1573-2878
Keywords:
Cluster theory
;
artificial intelligence
;
decision rules
;
optical lens systems
;
nonlinear programming
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract Optical lens design problems are solved by numerical optimization. If we describe an optical lens system by constructive parameters, we may identify such a system by a vectorx ∈ ℝ n . To find an adequate system for a given problem, we have to organize the optimization process in a parameter space with a fixed dimensionn. Often, such an optimization leads to inadequate results. For this reason, we have to alter the number of lenses contained in the system. Consequently, we have to change the dimension of the space for the parametric description of the lens system. This paper describes a special sequential cluster algorithm to realize the move from one parameter space to another by computation.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00938306
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