Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications

The issues of efficiency and robustness of local propagation methods in conformity to constraint-based programming applications are discussed. Comparative analysis of known algorithms is given and new combined method is proposed. The method allows solving of wider classes of constraint problems for...

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Main Authors: V. A. Semenov, O. V. Sidyaka
Format: Article
Language:English
Published: Ivannikov Institute for System Programming of the Russian Academy of Sciences 2018-10-01
Series:Труды Института системного программирования РАН
Subjects:
Online Access:https://ispranproceedings.elpub.ru/jour/article/view/1069
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spelling doaj-a47cdea37a5b4a9bb72fc46d794b60492020-11-25T00:49:14Zeng Ivannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-011901069Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applicationsV. A. Semenov0O. V. Sidyaka1ИСП РАНИСП РАНThe issues of efficiency and robustness of local propagation methods in conformity to constraint-based programming applications are discussed. Comparative analysis of known algorithms is given and new combined method is proposed. The method allows solving of wider classes of constraint problems for polynomial time. The results of computational experiments are presented to illustrate the method advantages over traditional algorithms.https://ispranproceedings.elpub.ru/jour/article/view/1069<i>методы локального распространения значений и степеней свободы</i><i>программирование в ограничениях</i><i>оценки сложности</i>
collection DOAJ
language English
format Article
sources DOAJ
author V. A. Semenov
O. V. Sidyaka
spellingShingle V. A. Semenov
O. V. Sidyaka
Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
Труды Института системного программирования РАН
<i>методы локального распространения значений и степеней свободы</i>
<i>программирование в ограничениях</i>
<i>оценки сложности</i>
author_facet V. A. Semenov
O. V. Sidyaka
author_sort V. A. Semenov
title Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
title_short Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
title_full Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
title_fullStr Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
title_full_unstemmed Theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
title_sort theoretical and practical complexity estimates for local propagation methods in constraint-based programming applications
publisher Ivannikov Institute for System Programming of the Russian Academy of Sciences
series Труды Института системного программирования РАН
issn 2079-8156
2220-6426
publishDate 2018-10-01
description The issues of efficiency and robustness of local propagation methods in conformity to constraint-based programming applications are discussed. Comparative analysis of known algorithms is given and new combined method is proposed. The method allows solving of wider classes of constraint problems for polynomial time. The results of computational experiments are presented to illustrate the method advantages over traditional algorithms.
topic <i>методы локального распространения значений и степеней свободы</i>
<i>программирование в ограничениях</i>
<i>оценки сложности</i>
url https://ispranproceedings.elpub.ru/jour/article/view/1069
work_keys_str_mv AT vasemenov theoreticalandpracticalcomplexityestimatesforlocalpropagationmethodsinconstraintbasedprogrammingapplications
AT ovsidyaka theoreticalandpracticalcomplexityestimatesforlocalpropagationmethodsinconstraintbasedprogrammingapplications
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