Skip to main content
Log in

Sensitivity Analysis in Differential Programming through the Clarke Derivative

  • Published:
Mediterranean Journal of Mathematics Aims and scope Submit manuscript

Abstract

In this paper we deal with the sensitivity analysis in multiobjective differential programs with equality constraints. More specifically, we focused on analyzing the quantitative behavior of a certain set (non necessarily singleton) of optima according to changes of the right-hand side parameters. We prove that the sensitivity of the program is measured by a Lagrange multiplier plus a projection of its derivative. The sensitivity analysis is accomplished by utilizing the Clarke derivative, which transmits its characteristic stability to the obtained result.

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.

Similar content being viewed by others

References

  1. Aubin J.P., Frankowska H.: Set-Valued Analysis. Birkhäuser, Boston-Basel-Berlin (1990)

    MATH  Google Scholar 

  2. Balbás A., Ballvé M., Jiménez Guerra P.: Sensitivity and optimality conditions in the multiobjective differential programming. Indian J. Math. Pures Appl. 29, 671–680 (1988)

    Google Scholar 

  3. Balbás A., Ballvé M., Jiménez Guerra P.: Sensitivity in multiobjective programming under homogeneity assumptions. J. Multi- Crit. Decis. Anal. 8, 133–138 (1999)

    Article  MATH  Google Scholar 

  4. Balbás A., Ballvé M., Jiménez Guerra P.: Density theorems for ideal points in vector optimization. European J. Oper. Res. 133, 260–266 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  5. Balbás A., Fernández F.J., Jiménez Guerra P.: On the envolvent theorem in multiobjective programming. Indian J. Math. Pures Appl. 26, 1035–1047 (1995)

    MATH  Google Scholar 

  6. Balbás A., Jiménez Guerra P.: Sensitivity analysis for convex multiobjective programming in abstract spaces. J. Math. Anal. Appl. 202, 645–648 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  7. Borwein J.M., Lewis A.S.: Convex Analysis and Nonlinear Optimization. Theory and examples. Springer, Berlin (2000)

    MATH  Google Scholar 

  8. Chuong T.D., Yao J.C.: Generalized Clarke epiderivatives of parametric vector optimization problems. J. Optim. Theory Appl. 146, 77–94 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. Dauer J.P., Osman M.S.A.: Decomposition of the parametric space in multiobjective convex programs using the generalized Tchebycheff norm. J. Math. Anal. Appl. 107, 156–166 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  10. Jiménez Guerra P., Melguizo M.A., Muñoz M.J.: Sensitivity analysis in multiobjective differential programing. Comput. Math. Appl. 52, 109–120 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  11. Jiménez Guerra P., Melguizo M.A., Muñoz M.J.: Sensitivity analysis in convex programing. Comput. Math. Appl. 58, 1239–1246 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  12. Klose J.: Sensitivity Analysis Using the Tangent Derivative. Numer. Funct. Anal. Optim. 13, 143–153 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kuk H., Tanino T., Tanaka M.: Sensitivity Analysis in Vector Optimization. J. Optim. Theory Appl. 89, 713–730 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  14. Hansen P., Labbé M., Wendell R.E.: Sensitivity analysis in multiple objective linear programming: The tolerance approach. Europ. J. of Oper. Res. 38(1), 63–69 (1989)

    Article  MATH  Google Scholar 

  15. Luc D.T., Dien P.H.: Differentiable selection of optimal solutions in parametric linear programming. Proc. Amer. Math. Soc. 125(3), 883–892 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  16. Rudin W.: Functional analysis. McGraw-Hill, New Delhi (1977)

    Google Scholar 

  17. Tanino T.: Sensitivity analysis in multiobjective optimization. J. Optim. Theory Appl. 56, 479–499 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  18. Tanino T.: Stability and Sensitivity Analysis in Convex Vector Optimization. SIAM J. Control Optim. 26, 524–536 (1988)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pedro Jiménez Guerra.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jiménez Guerra, P., Melguizo Padial, M.A. Sensitivity Analysis in Differential Programming through the Clarke Derivative. Mediterr. J. Math. 9, 537–550 (2012). https://doi.org/10.1007/s00009-011-0143-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00009-011-0143-7

Mathematics Subject Classification (2010)

Keywords

Navigation