Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ http://cyberleninka....arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Гибридный метод управления точностью решения экстремальных задач на графах

Гибридный метод управления точностью решения экстремальных задач на графах

Abstract

In work the hybrid method by accuracy of the decision extreme problems on graphs, based on a combination with an accuracy of two methods of management of combinatory and logical tasks – a method by accuracy of the decision with use of adaptive algorithms with by accuracy of the decision on the basis of parametrical adaptation, and a method of the decision accuracy increase on the basis of repeated use of polynomial algorithms to various substitutions of the initial count is offered. Application of the offered hybrid method is considered applicable for the solution of a problem of definition of the maximum full subgraphs (cliques) of the symmetric graphs.

Предлагается гибридный метод управления точностью решения задач на графах, основанный на сочетании двух методов управления точностью комбинаторно-логических задач – метода управления точностью решения с использованием адаптивных алгоритмов с управляемой точностью решения на основе параметрической адаптации, и метода повышения точности решения на основе многократного использования полиномиальных алгоритмов к различным подстановкам исходного графа. Применение предложенного гибридного метода рассмотрено применительно для решения задачи определения максимальных полных подграфов (клик) симметрического графа.

Keywords

ГРАФЫ, ЭКСТРЕМАЛЬНЫЕ ЗАДАЧИ, АДАПТИВНЫЕ АЛГОРИТМЫ, ПАРАМЕТРЫ АДАПТАЦИИ, ТОЧНОСТЬ РЕШЕНИЯ, РАЗМЕРНОСТЬ ЗАДАЧИ, РЕСУРС ВРЕМЕНИ, ПРОИЗВОДИТЕЛЬНОСТЬ КОМПЬЮТЕРА, БАЗА ДАННЫХ, УПРАВЛЕНИЕ ТОЧНОСТЬЮ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average