%0 Generic %1 citeulike:5090 %A Litinskii, %A Magomedov, %D 2004 %K functional lobal minimization quadratic %T Global minimization of a quadratic functional: neural network approach %U http://arxiv.org/abs/cs.NE/0412109 %X 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.

@misc{citeulike:5090, abstract = {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.}, added-at = {2007-08-18T13:22:24.000+0200}, author = {Litinskii and Magomedov}, biburl = {https://www.bibsonomy.org/bibtex/2639937fe2864d546536909b69f33e3dd/a_olympia}, citeulike-article-id = {5090}, description = {citeulike}, eprint = {cs.NE/0412109}, interhash = {4775a7746f83c0c4276b8425a451b77c}, intrahash = {639937fe2864d546536909b69f33e3dd}, keywords = {functional lobal minimization quadratic}, month = {December}, timestamp = {2007-08-18T13:23:00.000+0200}, title = {Global minimization of a quadratic functional: neural network approach}, url = {http://arxiv.org/abs/cs.NE/0412109}, year = 2004 }