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Global error bound for convex inclusion problems

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Abstract

The existence of global error bound for convex inclusion problems is discussed in this paper, including pointwise global error bound and uniform global error bound. The existence of uniform global error bound has been carefully studied in Burke and Tseng (SIAM J. Optim. 6(2), 265–282, 1996) which unifies and extends many existing results. Our results on the uniform global error bound (see Theorem 3.2) generalize Theorem 9 in Burke and Tseng (1996) by weakening the constraint qualification and by widening the varying range of the parameter. As an application, the existence of global error bound for convex multifunctions is also discussed.

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References

  1. Burke J.V. and Tseng P. (1996). A unified analysis of Hoffman’s bound via Fenchel duality. SIAM J. Optim. 6(2): 265–282

    Article  Google Scholar 

  2. Gwinner J. (1977). Closed images of convex multivalued mappings in linear topological spaces with applications. J. Math. Anal. Appl. 60(1): 75–86

    Article  Google Scholar 

  3. He Y.R. and Sun J. (2005). Error bounds for degenerate cone inclusion problems. Math. Oper. Res. 32(3): 701–717

    Article  Google Scholar 

  4. He Y.R. and Sun J. (2006). Second order sufficient conditions for error bounds in Banach spaces. SIAM J. Optim. 17(3): 795–805

    Article  Google Scholar 

  5. Hoffman A.J. (1952). On approximate solutions of systems of linear inequalities. J. Res. Nat. Bur. Stand. 49: 263–265

    Google Scholar 

  6. Huang L.R. and Ng K.F. (2004). On first- and second-order conditions for error bounds. SIAM J. Optim. 14: 1057–1073

    Article  Google Scholar 

  7. Ioffe A.D. (1979). Regular points of Lipschitz functions. Trans. Am. Math. Soc. 251: 61–69

    Article  Google Scholar 

  8. Lewis A.S. and Pang J.-S. (1998). Error bounds for convex inequality systems. In: Crouzeix, J.-P., Martinez-Legaz, J.-E. and Volle, M. (eds) Generalized Convexity, Generalized Monotonicity: Recent Results, pp 75–110. Kluwer, Dordrecht

    Google Scholar 

  9. Luenberger D.G. (1969). Optimization by Vector Space Methods. Wiley, New York

    Google Scholar 

  10. Ng K.F. and Yang W.H. (2002). Error bounds for abstract linear inequality systems. SIAM J. Optim. 13(1): 24–43

    Article  Google Scholar 

  11. Ng K.F. and Zheng X.Y. (2000). Global error bounds with fractional exponents. Math. Program. Ser. B 88(2): 357–370

    Article  Google Scholar 

  12. Rockafellar R.T. (1970). Convex Analysis. Princeton University Press, Princeton, NJ

    Google Scholar 

  13. Wu Z. and Ye J.J. (2002). On error bounds for lower semicontinuous functions. Math. Program. Ser. A 92(2): 301–314

    Article  Google Scholar 

  14. Zălinescu C. (2002). Convex Analysis in General Vector Spaces. World Scientific Publishing, River Edge, NJ

    Google Scholar 

  15. Zălinescu C. (2003). A nonlinear extension of Hoffman’s error bound for linear inequalities. Math. Oper. Res. 28(3): 524–532

    Article  Google Scholar 

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Correspondence to Yiran He.

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He, Y. Global error bound for convex inclusion problems. J Glob Optim 39, 419–426 (2007). https://doi.org/10.1007/s10898-007-9145-1

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  • DOI: https://doi.org/10.1007/s10898-007-9145-1

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