IDEAS home Printed from https://ideas.repec.org/a/spr/topjnl/v20y2012i2p296-309.html
   My bibliography  Save this article

Error bound results for convex inequality systems via conjugate duality

Author

Listed:
  • Radu Boţ
  • Ernö Csetnek

Abstract

No abstract is available for this item.

Suggested Citation

  • Radu Boţ & Ernö Csetnek, 2012. "Error bound results for convex inequality systems via conjugate duality," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(2), pages 296-309, July.
  • Handle: RePEc:spr:topjnl:v:20:y:2012:i:2:p:296-309
    DOI: 10.1007/s11750-011-0187-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11750-011-0187-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11750-011-0187-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu Li & Ivan Singer, 1998. "Global Error Bounds for Convex Multifunctions and Applications," Mathematics of Operations Research, INFORMS, vol. 23(2), pages 443-462, May.
    2. O. Cornejo & A. Jourani & C. Zălinescu, 1997. "Conditioning and Upper-Lipschitz Inverse Subdifferentials in Nonsmooth Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 95(1), pages 127-148, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. C. Liu & K. Ng, 2015. "On error bounds for systems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 552-566, July.
    2. Vo Si Trong Long, 2024. "On Global Error Bounds for Convex Inequalities Systems," Journal of Optimization Theory and Applications, Springer, vol. 202(3), pages 1359-1384, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. C. Zălinescu, 2003. "A Nonlinear Extension of Hoffman's Error Bounds for Linear Inequalities," Mathematics of Operations Research, INFORMS, vol. 28(3), pages 524-532, August.
    2. K.F. Ng & X.Y. Zheng, 2003. "Error Bounds of Constrained Quadratic Functions and Piecewise Affine Inequality Systems," Journal of Optimization Theory and Applications, Springer, vol. 118(3), pages 601-618, September.
    3. Li, S.J. & Chen, C.R. & Li, X.B. & Teo, K.L., 2011. "Hölder continuity and upper estimates of solutions to vector quasiequilibrium problems," European Journal of Operational Research, Elsevier, vol. 210(2), pages 148-157, April.
    4. Liu, Yulan & Bi, Shujun, 2019. "Error bounds for non-polyhedral convex optimization and applications to linear convergence of FDM and PGM," Applied Mathematics and Computation, Elsevier, vol. 358(C), pages 418-435.
    5. Kung Fu Ng & Xi Yin Zheng, 2004. "Characterizations of Error Bounds for Convex Multifunctions on Banach Spaces," Mathematics of Operations Research, INFORMS, vol. 29(1), pages 45-63, February.
    6. A. Jourani & D. Zagrodny, 2012. "The positiveness of lower limits of the Hoffman constant in parametric polyhedral programs," Journal of Global Optimization, Springer, vol. 53(4), pages 641-661, August.
    7. Hui Huang & Jiangxing Zhu, 2023. "Quasi-Error Bounds for p-Convex Set-Valued Mappings," Journal of Optimization Theory and Applications, Springer, vol. 198(2), pages 805-829, August.
    8. Alexander Y. Kruger, 2016. "Nonlinear Metric Subregularity," Journal of Optimization Theory and Applications, Springer, vol. 171(3), pages 820-855, December.
    9. Anthony G. Pakes, 2021. "Structural properties of generalised Planck distributions," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-33, December.
    10. Yiran He & Jie Sun, 2012. "Minimum recession-compatible subsets of closed convex sets," Journal of Global Optimization, Springer, vol. 52(2), pages 253-263, February.
    11. Ying Cui & Ziyu He & Jong-Shi Pang, 2021. "Nonconvex robust programming via value-function optimization," Computational Optimization and Applications, Springer, vol. 78(2), pages 411-450, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:topjnl:v:20:y:2012:i:2:p:296-309. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.