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Proceedings Paper

Ill-conditioning during damped least squares optimization of optical systems
Author(s): Christopher C. Hull
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Paper Abstract

Three methods have been investigated for detecting linear dependence between variables during damped least squares optimization. They are the angle (delta) between column vectors calculated from the scalar product, the normalized standard deviation of the ratios of corresponding elements and the singular values computed from a singular value decomposition. Optimization runs were made on a test lens where attempts were made to eliminate the causes of ill- conditioning by removing variables which were close to linear dependence. Results showed an improvement in the final merit function for all techniques with the exception of singular values. There was also a difference in the final solution forms which indicated that attempting to improve the conditioning of the matrix equations at source was advantageous for the test lens examined with forms closer to the optimum for the two successful techniques used for detecting linear dependence.

Paper Details

Date Published: 23 August 1996
PDF: 8 pages
Proc. SPIE 2774, Design and Engineering of Optical Systems, (23 August 1996); doi: 10.1117/12.246704
Show Author Affiliations
Christopher C. Hull, City Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 2774:
Design and Engineering of Optical Systems
Joseph J. M. Braat, Editor(s)

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