Global minimization of a quadratic functional: neural network approach

Details Global minimization of a quadratic functional: neural network approach Global minimization of a quadratic functional: neural network approach

2004-12-24

arxiv.org/abs/cs/0412109v1

Computer Science

Neural and Evolutionary Computing

4 pages, Lecture on 7th International Conference on Pattern Recognition and Image Analysis PRIA-07-2004, St. Petersburg, Russi

Scientific paper

The problem of finding out the global minimum of a multiextremal functional
is discussed. One frequently faces with such a functional in various
applications. We propose a procedure, which depends on the dimensionality of
the problem polynomially. In our approach we use the eigenvalues and
eigenvectors of the connection matrix.

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