Skip to main content
Log in

Optimality Analysis of a Class of Semi-infinite Programming Problems

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

Abstract

In this paper, we consider a class of semi-infinite programming problems with a parameter. As the parameter increases, we prove that the optimal values decrease monotonically. Moreover, the limit of the sequence of optimal values exists as the parameter tends to infinity. In finding the limit, we decompose the original optimization problem into a series of subproblems. By calculating the maximum optimal values to the subproblems and applying a fixed-point theorem, we prove that the obtained maximum value is exactly the limit of the sequence of optimal values under certain conditions. As a result, the limit can be obtained efficiently by solving a series of simplified subproblems. Numerical examples are provided to verify the limit obtained by the proposed method.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Hettich, R., Kortanek, K.O.: Semi-infinite programming: theory, methods, and application. SIAM Rev. 35, 380–429 (1993)

    Article  MathSciNet  Google Scholar 

  2. López, M., Still, G.: Semi-infinite programming. Eur. J. Oper. Res. 180, 491–518 (2007)

    Article  MathSciNet  Google Scholar 

  3. Shapiro, A.: Semi-infinite programming, duality, discretization and optimality conditions. Optimization 58, 133–161 (2009)

    Article  MathSciNet  Google Scholar 

  4. Feng, Z.G., Teo, K.L., Rehbock, V.: A smoothing approach for semi-infinite programming with projected new-type algorithm. J. Ind. Manag. Optim. 5, 141–151 (2009)

    MathSciNet  MATH  Google Scholar 

  5. Shiu, T.J., Wu, S.Y.: Relaxed cutting plane method with convexification for solving nonlinear semi-infinite programming. Comput. Optim. Appl. 53(1), 91–113 (2012)

    Article  MathSciNet  Google Scholar 

  6. Wang, S.X., Yuan, Y.X.: Feasible method for convex semi-infinite programming. SIAM J. Optim. 25, 2537–2560 (2010)

    Article  Google Scholar 

  7. Zhang, L.P., Wu, S.Y., Lopez, M.A.: A new exchange method for convex semi-infinite programming. SIAM J. Optim. 20, 2959–2977 (2010)

    Article  MathSciNet  Google Scholar 

  8. Yiu, K.F.C., Yang, X.Q., Nordholm, S., Teo, K.L.: Near-field broadband beamformer design via multidimensional semi-infinite linear programming techniques. IEEE Trans. Speech Audio Process. 11(6), 725–732 (2003)

    Article  Google Scholar 

  9. Feng, Z.G., Yiu, K.F.C., Nordholm, S.: Performance limit of broadband beamformer designs in space and frequency. J. Optim. Theory Appl. 164, 316–341 (2015)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This paper is supported by the grant of National Natural Science Foundation of China (Nos. 11771064, 11991020, 11991023), the Natural Science Foundation of Chongqing (cstc2019jcyj-zdxmX0016), the grant of Guangdong Basic and Applied Basic Research Foundation (No. 2020A1515010463), the program for scientific research start-up funds of Guangdong Ocean University, the grant of Chongqing Normal University (No. 17XLB010). The fourth author is supported by RGC Grant PolyU. (152245/18E) and PolyU Grant ZZGS.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lin Chen.

Additional information

Communicated by Marco Antonio López-Cerdá

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Feng, Z.G., Chen, F., Chen, L. et al. Optimality Analysis of a Class of Semi-infinite Programming Problems. J Optim Theory Appl 186, 398–411 (2020). https://doi.org/10.1007/s10957-020-01708-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-020-01708-8

Keywords

Mathematics Subject Classification

Navigation