English

Discretization of a matrix in the problem of quadratic functional binary minimization

Neural and Evolutionary Computing 2012-05-04 v1

Abstract

The capability of discretization of matrix elements in the problem of quadratic functional minimization with linear member built on matrix in N-dimensional configuration space with discrete coordinates is researched. It is shown, that optimal procedure of replacement matrix elements by the integer quantities with the limited number of gradations exist, and the efficient of minimization does not reduce. Parameter depends on matrix properties, which allows estimate the capability of using described procedure for given type of matrix, is found. Computational complexities of algorithm and RAM requirements are reduced by 16 times, correct using of integer elements allows increase minimization algorithm speed by the orders.

Keywords

Cite

@article{arxiv.1205.0732,
  title  = {Discretization of a matrix in the problem of quadratic functional binary minimization},
  author = {Boris Kryzhanovsky and Mikhail Kryzhanovsky and Magomed Malsagov},
  journal= {arXiv preprint arXiv:1205.0732},
  year   = {2012}
}

Comments

11 pages, 4 figures, in Russian language

R2 v1 2026-06-21T20:58:15.337Z