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Volumn 6, Issue 1, 1991, Pages 423-434

Small-dimensional linear programming and convex hulls made easy

Author keywords

[No Author keywords available]

Indexed keywords


EID: 51249172581     PISSN: 01795376     EISSN: 14320444     Source Type: Journal    
DOI: 10.1007/BF02574699     Document Type: Article
Times cited : (180)

References (20)
  • 1
    • 84936706641 scopus 로고    scopus 로고
    • [AS] C. R. Aragon and R. G. Seidel, Randomized Search Trees, Proc. 30th IEEE Symp. on Foundations of Computer Science (1989), pp. 540–545.
  • 4
    • 84936706639 scopus 로고    scopus 로고
    • [C2] K. L. Clarkson, Las Vegas Algorithms for Linear and Integer Programming when the Dimension is Small, Manuscript Oct. 1989: a preliminary version appeared in Proc. 29th IEEE Symp. on Foundations of Computer Science (1988), pp. 452–456.
  • 7
    • 0022769162 scopus 로고
    • On a Multidimensional Search Technique and Its Applications to the Euclidean One-Centre Problem
    • (1986) SIAM J. Comput. , vol.15 , pp. 725-738
    • Dyer, M.E.1
  • 11
    • 84936706638 scopus 로고    scopus 로고
    • [K] M. Kallay, Convex Hull Algorithms in Higher Dimensions, Manuscript (1981).
  • 16
    • 84936706637 scopus 로고    scopus 로고
    • [S1] R. Seidel, A Convex Hull Algorithm Optimal for Point Sets in Even Dimensions, Technical Report 81-14, Department of Computer Science, University of British Columbia (1981).
  • 17
    • 84936706610 scopus 로고    scopus 로고
    • [S2] R. Seidel, Constructing Higher-Dimensional Convex Hulls at Logarithmic Cost per Face, Proc. 18th ACM Symp. on Theory of Computing (1986), pp. 404–413.
  • 18
    • 84936706609 scopus 로고    scopus 로고
    • [S3] R. Seidel, Backwards Analysis of Randomized Geometric Algorithms (Manuscript).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.