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A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space

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  • Dula, J. H.
  • Helgason, R. V.

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  • Dula, J. H. & Helgason, R. V., 1996. "A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space," European Journal of Operational Research, Elsevier, vol. 92(2), pages 352-367, July.
    • Handle: RePEc:eee:ejores:v:92:y:1996:i:2:p:352-367
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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    3. Stein W. Wallace & Roger J-B. Wets, 1992. "Preprocessing in Stochastic Programming: The Case of Linear Programs," INFORMS Journal on Computing, INFORMS, vol. 4(1), pages 45-59, February.
    4. Stein W. Wallace & Roger J-B Wets, 1995. "Preprocessing in Stochastic Programming: The Case of Capacitated Networks," INFORMS Journal on Computing, INFORMS, vol. 7(1), pages 44-62, February.
    5. Chatterjee, Sangit & Chatterjee, Samprit, 1990. "A note on finding extreme points in multivariate space," Computational Statistics & Data Analysis, Elsevier, vol. 10(1), pages 87-92, August.
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    Cited by:

    1. Peter Fernandes Wanke & Rebecca de Mattos, 2014. "Capacity Issues and Efficiency Drivers in Brazilian Bulk Terminals," Brazilian Business Review, Fucape Business School, vol. 11(5), pages 72-98, October.
    2. Tao Jie, 2020. "Parallel processing of the Build Hull algorithm to address the large-scale DEA problem," Annals of Operations Research, Springer, vol. 295(1), pages 453-481, December.
    3. López, Francisco J., 2011. "Generalizing cross redundancy in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 214(3), pages 716-721, November.
    4. J.H. Dulá & R.M. Thrall, 2001. "A Computational Framework for Accelerating DEA," Journal of Productivity Analysis, Springer, vol. 16(1), pages 63-78, July.
    5. Khezrimotlagh, Dariush & Zhu, Joe & Cook, Wade D. & Toloo, Mehdi, 2019. "Data envelopment analysis and big data," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1047-1054.
    6. J. H. Dulá, 2011. "An Algorithm for Data Envelopment Analysis," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 284-296, May.
    7. Supanut Chaidee & Kokichi Sugihara, 2020. "The Existence of a Convex Polyhedron with Respect to the Constrained Vertex Norms," Mathematics, MDPI, vol. 8(4), pages 1-13, April.
    8. Thanassoulis, Emmanuel & Kortelainen, Mika & Allen, Rachel, 2012. "Improving envelopment in Data Envelopment Analysis under variable returns to scale," European Journal of Operational Research, Elsevier, vol. 218(1), pages 175-185.
    9. Goodness C. Aye & Giray Gozgor & Rangan Gupta, 2020. "Dynamic and Asymmetric Response of Inequality to Income Volatility: The Case of the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 747-762, February.
    10. José H. Dulá & Francisco J. López, 2006. "Algorithms for the Frame of a Finitely Generated Unbounded Polyhedron," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 97-110, February.
    11. J. H. Dulá & R. V. Helgason & N. Venugopal, 1998. "An Algorithm for Identifying the Frame of a Pointed Finite Conical Hull," INFORMS Journal on Computing, INFORMS, vol. 10(3), pages 323-330, August.

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