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.
Similar content being viewed by others
References
Aubin J.P., Frankowska H.: Set-Valued Analysis. Birkhäuser, Boston-Basel-Berlin (1990)
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)
Balbás A., Ballvé M., Jiménez Guerra P.: Sensitivity in multiobjective programming under homogeneity assumptions. J. Multi- Crit. Decis. Anal. 8, 133–138 (1999)
Balbás A., Ballvé M., Jiménez Guerra P.: Density theorems for ideal points in vector optimization. European J. Oper. Res. 133, 260–266 (2001)
Balbás A., Fernández F.J., Jiménez Guerra P.: On the envolvent theorem in multiobjective programming. Indian J. Math. Pures Appl. 26, 1035–1047 (1995)
Balbás A., Jiménez Guerra P.: Sensitivity analysis for convex multiobjective programming in abstract spaces. J. Math. Anal. Appl. 202, 645–648 (1996)
Borwein J.M., Lewis A.S.: Convex Analysis and Nonlinear Optimization. Theory and examples. Springer, Berlin (2000)
Chuong T.D., Yao J.C.: Generalized Clarke epiderivatives of parametric vector optimization problems. J. Optim. Theory Appl. 146, 77–94 (2010)
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)
Jiménez Guerra P., Melguizo M.A., Muñoz M.J.: Sensitivity analysis in multiobjective differential programing. Comput. Math. Appl. 52, 109–120 (2006)
Jiménez Guerra P., Melguizo M.A., Muñoz M.J.: Sensitivity analysis in convex programing. Comput. Math. Appl. 58, 1239–1246 (2009)
Klose J.: Sensitivity Analysis Using the Tangent Derivative. Numer. Funct. Anal. Optim. 13, 143–153 (1992)
Kuk H., Tanino T., Tanaka M.: Sensitivity Analysis in Vector Optimization. J. Optim. Theory Appl. 89, 713–730 (1996)
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)
Luc D.T., Dien P.H.: Differentiable selection of optimal solutions in parametric linear programming. Proc. Amer. Math. Soc. 125(3), 883–892 (1997)
Rudin W.: Functional analysis. McGraw-Hill, New Delhi (1977)
Tanino T.: Sensitivity analysis in multiobjective optimization. J. Optim. Theory Appl. 56, 479–499 (1988)
Tanino T.: Stability and Sensitivity Analysis in Convex Vector Optimization. SIAM J. Control Optim. 26, 524–536 (1988)
Author information
Authors and Affiliations
Corresponding author
Rights 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
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00009-011-0143-7