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Применение высокопроизводительных вычислений для поиска троек взаимно частично ортогональных диагональных латинских квадратов порядка 10

Применение высокопроизводительных вычислений для поиска троек взаимно частично ортогональных диагональных латинских квадратов порядка 10

Abstract

Статья посвящена поиску троек взаимно частично ортогональных диагональных латинских квадратов порядка 10. Для каждой известной пары ортогональных диагональных латинских квадратов порядка 10 достраивается третий диагональный латинский квадрат таким образом, чтобы условие ортогональности между ним и квадратами из рассматриваемой пары нарушалось в как можно меньшем количестве ячеек. Используются два подхода: первый основан на сведении исходной задачи к задаче о булевой выполнимости, а второй на использовании метода грубой силы. Построено несколько троек указанного вида с рекордными характеристиками. Эксперименты были проведены в проекте добровольных распределенных вычислений SAT@home, а также на вычислительном кластере.

This paper deals with the search for triples of partially orthogonal Latin squares of order 10. For every known pair of orthogonal Latin squares of order 10 we add a third diagonal Latin square in such a way that the orthogonality condition between it and squares from a considered pair coincides in the maximum possible number of cells. Two approaches are used: the first one is based on reducing an original problem to Boolean satisfiability problem; the second one is based on Brute force method. Several triples of the aforementioned kind with high characteristics were constructed. The experiments were held in the volunteer computing project SAT@home and on a computing cluster.

Keywords

ДИАГОНАЛЬНЫЕ ЛАТИНСКИЕ КВАДРАТЫ,DIAGONAL LATIN SQUARES,ЧАСТИЧНАЯ ОРТОГОНАЛЬНОСТЬ,PARTIAL ORTHOGONALITY,ЗАДАЧА О БУЛЕВОЙ ВЫПОЛНИМОСТИ,BOOLEAN SATISFIABILITY PROBLEM,ДОБРОВОЛЬНЫЕ РАСПРЕДЕЛЕННЫЕ ВЫЧИСЛЕНИЯ,VOLUNTEER COMPUTING,МЕТОД ГРУБОЙ СИЛЫ,BRUTE FORCE,ВЫЧИСЛИТЕЛЬНЫЙ КЛАСТЕР,COMPUTING CLUSTER

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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
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