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A universal algorithm for finding the shortest distance between systems of points.
Blatov, Igor A; Kitaeva, Elena V; Shevchenko, Alexander P; Blatov, Vladislav A.
Afiliação
  • Blatov IA; Volga State University of Telecommunications and Informatics, Moskovskoe sh. 77, Samara, 443010, Russian Federation.
  • Kitaeva EV; Samara Center for Theoretical Material Science (SCTMS), Samara University, Ac. Pavlov Street 1, Samara, 443011, Russian Federation.
  • Shevchenko AP; Samara Center for Theoretical Material Science (SCTMS), Samara University, Ac. Pavlov Street 1, Samara, 443011, Russian Federation.
  • Blatov VA; Samara Center for Theoretical Material Science (SCTMS), Samara University, Ac. Pavlov Street 1, Samara, 443011, Russian Federation.
Acta Crystallogr A Found Adv ; 75(Pt 6): 827-832, 2019 Nov 01.
Article em En | MEDLINE | ID: mdl-31692457
ABSTRACT
Three universal algorithms for geometrical comparison of abstract sets of n points in the Euclidean space R3 are proposed. It is proved that at an accuracy ε the efficiency of all the algorithms does not exceed O(n3/ε3/2). The most effective algorithm combines the known Hungarian and Kabsch algorithms, but is free of their deficiencies and fast enough to match hundreds of points. The algorithm is applied to compare both finite (ligands) and periodic (nets) chemical objects.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article