Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Some Perspectives on Vector Optimization via Image Space Analysis

  • Forum
  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

This note aims at stimulating research on vector optimization through Image Space Analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Antoni, C.: Images, fixed points and vector extremum problems. JOTA 177(3), 1–17 (2018)

    Google Scholar 

  2. Yen, N.D.: An introduction to vector inequalities and some new results. Acta Math. Vietnam 41, 505–529 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  3. Huang, N.T.T., Yao, Y.C., Yen, N.D.: Connectedness structure of the solution set of vector variational inequalities. Optimization 66, 889–901 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  4. Antoni, C., Alshaharani, M.: Some remarks on cone-functions and related fields. JOTA 177(3), 1–8 (2018)

    Google Scholar 

  5. Jahn, J.: Vector Optimization—Theory, Applications and Extensions, 2nd edn. Springer, Heidelberg (2011)

    Book  MATH  Google Scholar 

  6. Antoni, C., Giannessi, F.: Images and existences of constrained scalar and vector extrema. JOTA 177(3), 1–24 (2018)

    Google Scholar 

  7. Moldovan, A., Pellegrini, L.: On regularity for constrained extremum problems. Part 2: necessary optimality conditions. JOTA 142, 165–183 (2009)

    Article  MATH  Google Scholar 

  8. Giannessi, F.: Constrained Optimization and Image Space Analysis, vol 1. Separation of sets and optimality conditions mathematic concepts and methods in science and engineering, vol. 49. Springer, New York (2005)

    MATH  Google Scholar 

Download references

Acknowledgements

This research was funded by the National Plan for Science, Technology and Innovation (MAARIFAH)—King Abdulaziz City for Science and Technology—through the Science & Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM)—the Kingdom of Saudi Arabia, Award Number 13-MAT1682-04.

Author information

Authors and Affiliations

  1. Department of Mathematics, University of Pisa, Pisa, Italy

    Franco Giannessi

Authors
  1. Franco Giannessi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Franco Giannessi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Giannessi, F. Some Perspectives on Vector Optimization via Image Space Analysis. J Optim Theory Appl 177, 906–912 (2018). https://doi.org/10.1007/s10957-018-1275-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-018-1275-8

Keywords

Mathematics Subject Classification

Search

Navigation