Skip to main content
Log in

Estimating the Frèchet Normal Cone in Optimization Problems with Nonsmooth Vanishing Constraints

  • Research Paper
  • Published:
Iranian Journal of Science and Technology, Transactions A: Science Aims and scope Submit manuscript

Abstract

The paper deals with the mathematical programming problems with nonsmooth vanishing constraints. The main focus is on the estimating the Frèchet normal cone of feasible set and presenting some stationary conditions for the problem. The obtained results generalize and improve some recent theorems in differentiable case.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Achtziger W, Kanzow C (2007) Mathematical programs with vanishing constraints: optimality conditions and constraint qualifications. Math Program 114:69–99

    Article  MathSciNet  MATH  Google Scholar 

  • Achtziger W, Hoheisel T, Kanzow C (2013) A smoothing-regularization approach to mathematical programs with vanishing constraints. Comput Optim Appl 55:733–767

    Article  MathSciNet  MATH  Google Scholar 

  • Ansari Ardali A, Movahedian N, Nobakhtian S (2016) Optimality conditions for nonsmooth mathematical programs with equilibrium constraints, using convexificators. Optimization 65:67–85

    Article  MathSciNet  MATH  Google Scholar 

  • Bigi G, Pappalardo M, Passacantando M (2016) Optimization tools for solving equilibrium problems with nonsmooth data. J Optim Theory Appl 171:887–905

    Article  MathSciNet  MATH  Google Scholar 

  • Bonnans JF, Shapiro A (2000) Perturbation analysis of optimization problems. Springer, New York

    Book  MATH  Google Scholar 

  • Clarke FH (1983) Optimization and nonsmooth analysis. Wiley Interscience, New York

    MATH  Google Scholar 

  • Giorgi G, Gwirraggio A, Thierselder J (2004) Mathematics of optimization. Smooth and Nonsmooth cases. Elsivier, Amsterdam

    Google Scholar 

  • Hoheisel T, Kanzow C (2007) First- and second-order optimality conditions for mathematical programs with vanishing constraints. Appl Math 52:495–514

    Article  MathSciNet  MATH  Google Scholar 

  • Hoheisel T, Kanzow C (2008) Stationarity conditions for mathematical programs with vanishing constraints using weak constraint qualifications. J Math Anal Appl 337:292–310

    Article  MathSciNet  MATH  Google Scholar 

  • Hoheisel T, Kanzow C (2009) On the Abadie and Guignard constraint qualifications for mathematical programs with vanishing constraints. Optimization 58:431–448

    Article  MathSciNet  MATH  Google Scholar 

  • Luu DV (2016) Optimality condition for local efficient solutions of vector equilibrium problems via convexificators applications. J Optim Theory Appl 171:643–665

    Article  MathSciNet  MATH  Google Scholar 

  • Mishra SK, Singh V, Laha V (2016) On duality for mathematical programs with vanishing constraints. Annal Oper Res 243:249–272

    Article  MathSciNet  MATH  Google Scholar 

  • Movahedian N (2017) Bounded Lagrange multiplier rules for general nonsmooth problems and application to mathematical programs with equilibrium constraints. J Glob Optim 67:829–850

    Article  MathSciNet  MATH  Google Scholar 

  • Movahedian N (2012) Calmness of set-valued mappings between Asplund spaces and application to equilibrium problems. Set Valued Var Anal 20(3):499–518

    Article  MathSciNet  MATH  Google Scholar 

  • Movahedian N, Nobakhtian S (2010) Necessary and sufficient conditions for nonsmooth mathematical programs with equilibrium constraints. Nonlinear Anal 72:2694–2705

    Article  MathSciNet  MATH  Google Scholar 

  • Mordukhovich B (2008) Optimization and equilibrium problems with equilibrium constraints in infinite-dimensional spaces. Optimization 57:715–741

    Article  MathSciNet  MATH  Google Scholar 

  • Rockafellar RT (1970) Convex analysis. Princeton University Press, Princeton

    Book  MATH  Google Scholar 

  • Rockafellar RT, Wets B (1998) Variational analysis. Springer, Berlin

    Book  MATH  Google Scholar 

  • Scholtes S (2004) Nonconvex structures in nonlinear programming. Oper Res 52:368–383

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nader Kanzi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kazemi, S., Kanzi, N. & Ebadian, A. Estimating the Frèchet Normal Cone in Optimization Problems with Nonsmooth Vanishing Constraints. Iran J Sci Technol Trans Sci 43, 2299–2306 (2019). https://doi.org/10.1007/s40995-019-00683-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40995-019-00683-8

Keywords

Mathematics Subject Classification

Navigation