Pattern separation by convex programming:

It is shown that the pattern separation problem can be formulated and solved as a convex pro gramming problem, i.e., the minimization of a convex function subject to linear constraints. A number of previous investigators have proposed iterative methods for the construction of one or more hyperplanes...

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Bibliographic Details
Main Author: Rosen, J. B. (Author)
Format: Book
Language:English
Published: Stanford, California 1963
Series:Applied Mathematics and Statistics Laboratory <Stanford, Calif.>: Technical report 30
Subjects:
Summary:It is shown that the pattern separation problem can be formulated and solved as a convex pro gramming problem, i.e., the minimization of a convex function subject to linear constraints. A number of previous investigators have proposed iterative methods for the construction of one or more hyperplanes in order s solve pattern recognition problems. It was apparently not recognized that these iterative methods were, in fact, ining a feasible solution to a mathematical programming problem. Very effi cient computer methods have been developed for such programming problems and can be used to advantage for the pattern recognition problem. (Author).
Physical Description:20 S.

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