Visual analysis of a set of function values

Author

Dzemyda, Gintautas

Author_Institution

Inst. of Math. & Inf., Vilnius, Lithuania

Volume

2

fYear

1996

fDate

25-29 Aug 1996

Firstpage

700

Abstract

The goal of investigation was to seek new features far the analysis of extremal problems. A method of visual analysis of a set of objective function values is proposed. It allows us to find a direction where the variation of function is maximal. The method ensures a high quality of analysis when the number of used values of the objective function is small, and a possibility of identifying the specific character of the objective function. The results of analysis are used in the search for a new coordinate system of the extremal problem and in a graphical representation of the observed data. The analysis would allow us to find a better optimization strategy

Keywords

covariance matrices; mathematics computing; minimisation; pattern recognition; probability; set theory; extremal problems; graphical representation; objective function values; optimization strategy; visual analysis; Covariance matrix; Data analysis; Discrete transforms; Independent component analysis; Informatics; Information analysis; Linearity; Mathematics; Optimization methods; Random variables;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546913

Filename

546913