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Andrews LC, Bernstein HJ. . J Appl Crystallogr. 2016;49:756-761doi: 10.1107/S1600576716004039.
Andrews, L. C., & Bernstein, H. J. (2016). . Journal of applied crystallography, 49756-761. https://doi.org/10.1107/S1600576716004039
Andrews, Lawrence C, and Bernstein, Herbert J. "." Journal of applied crystallography vol. 49 (2016): 756-761. doi: https://doi.org/10.1107/S1600576716004039
Andrews LC, Bernstein HJ. . J Appl Crystallogr. 2016 Apr 12;49:756-761. doi: 10.1107/S1600576716004039. eCollection 2016 Jun 01. PMID: 27275134; PMCID: PMC4886977.
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J Appl Crystallogr. 2016 Apr 12;49:756-761. doi: 10.1107/S1600576716004039. eCollection 2016 Jun 01.

[No title available]

Journal of applied crystallography

Lawrence C Andrews, Herbert J Bernstein

Affiliations

  1. 9515 NE 137th Street, Kirkland, WA 98034, USA.
  2. School of Chemistry and Materials Science, Rochester Institute of Technology, Rochester, NY 14623, USA.

PMID: 27275134 PMCID: PMC4886977 DOI: 10.1107/S1600576716004039

Abstract

Many problems in crystallography and other fields can be treated as nearest-neighbor problems. The neartree data structure provides a flexible way to organize and retrieve metric data. In some cases, it can provide near-optimal performance.

Keywords: nearest-neighbor search; neartree data structure; post office problem

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Publication Types

Grant support