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Volumn 23, Issue 2B, 1998, Pages 243-251

An efficient algorithm to compute the distance between two line segments

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0032339757     PISSN: 2193567X     EISSN: 21914281     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (7)
  • 1
    • 0021786858 scopus 로고
    • A Fast Algorithm to Calculate Shortest Distances between Linear Segments and Angular Averages for Soft Repulsive Potentials Depending on Shortest Distances
    • P. Sevilla and S. Lago, "A Fast Algorithm to Calculate Shortest Distances Between Linear Segments and Angular Averages for Soft Repulsive Potentials Depending on Shortest Distances", Inter. Jour. on Computers and Chemistry, 9(1) (1985), pp. 39-42.
    • (1985) Inter. Jour. on Computers and Chemistry , vol.9 , Issue.1 , pp. 39-42
    • Sevilla, P.1    Lago, S.2
  • 3
    • 0022113717 scopus 로고
    • On Fast Computation of Distance between Line Segments
    • V. Lumelsky, "On Fast Computation of Distance Between Line Segments", Inform. Process. Lett. (North-Holland), 21 (1985), pp. 55-61.
    • (1985) Inform. Process. Lett. (North-Holland) , vol.21 , pp. 55-61
    • Lumelsky, V.1
  • 4
    • 0023849908 scopus 로고
    • A Generalization for Mixtures of a Fast Algorithm to Calculate some Intermolecular Orientational Averages
    • S. Lago and C. Vega, "A Generalization for Mixtures of a Fast Algorithm to Calculate some Intermolecular Orientational Averages", Inter. J. on Computers and Chemistry, 12(4) (1988), pp. 343-356.
    • (1988) Inter. J. on Computers and Chemistry , vol.12 , Issue.4 , pp. 343-356
    • Lago, S.1    Vega, C.2
  • 5
    • 0004795615 scopus 로고
    • A Fast Algorithm to Evaluate the Shortest Distance between Rods
    • C. Vega and S. Lago, "A Fast Algorithm to Evaluate the Shortest Distance Between Rods", Inter. J. on Computers and Chemistry, 1993, pp. 55-59.
    • (1993) Inter. J. on Computers and Chemistry , pp. 55-59
    • Vega, C.1    Lago, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.