Skip to main content
Log in

A family of Newton methods for nonsmooth constrained systems with nonisolated solutions

  • Original Article
  • Published:
Mathematical Methods of Operations Research Aims and scope Submit manuscript

Abstract

We propose a new family of Newton-type methods for the solution of constrained systems of equations. Under suitable conditions, that do not include differentiability or local uniqueness of solutions, local, quadratic convergence to a solution of the system of equations can be established. We show that as particular instances of the method we obtain inexact versions of both a recently introduced LP-based Newton method and of a Levenberg-Marquardt algorithm for the solution of systems with nonisolated solutions, and improve on corresponding existing results.

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

  • Behling R, Fischer A (2012) A unified local convergence analysis of inexact constrained Levenberg-Marquardt methods. Optim Lett 6:927–940

    Google Scholar 

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

  • Dembo RS, Eisenstat SC, Steihaug T (1982) Inexact Newton methods. SIAM J Numer Anal 19:400–408

    Article  MathSciNet  MATH  Google Scholar 

  • Facchinei F, Pang J-S (2003) Finite dimensional variational inequalities and complementarity problems. Springer, New York

    Google Scholar 

  • Facchinei F, Fischer A, Kanzow C (1996) Inexact Newton methods for semismooth equations with applications to variational inequality problems. In: Di Pillo G, Giannessi F (eds) Nonlinear Optim Appl. Plenum Press, New York, pp 125–139

    Google Scholar 

  • Facchinei F, Fischer A, Herrich M (2011) An LP-Newton method: nonsmooth equations, KKT systems, and nonisolated solutions. Technical Report, available online at http://www.optimization-online.org/DB_HTML/2011/09/3177.html

  • Fischer A (1997) Solution of monotone complementarity problems with locally Lipschitzian functions. Math Program 76:513–532

    MATH  Google Scholar 

  • Kanzow C, Yamashita N, Fukushima M (2004) Levenberg-Marquardt methods with strong local convergence properties for solving equations with convex constraints. J Comput Appl Math 172:375–397

    Article  MathSciNet  MATH  Google Scholar 

  • Kummer B et al (1998) Newton’s method for non-differentiable functions. In: Guddat J (ed) Mathematical research advances in mathematical optimization. Akademie, Berlin, pp 114–125

    Google Scholar 

  • Pang J-S, Qi L (1993) Nonsmooth equations: motivation and algorithms. SIAM J Optim 3:443–465

    Article  MathSciNet  MATH  Google Scholar 

  • Qi L, Sun J (1993) A nonsmooth version of Newton’s method. Math Program 58:353–367

    Article  MathSciNet  MATH  Google Scholar 

  • Yamashita N, Fukushima M (2001) On the rate of convergence of the Levenberg-Marquardt method. Computing 15(Suppl):239–249

    MathSciNet  Google Scholar 

Download references

Acknowledgments

Part of this research was done while the second author was visiting the Department of Computer, Control, and Management Engineering Antonio Ruberti at the University of Rome La Sapienza. The financial support by the University of Rome La Sapienza is kindly acknowledged. The authors would like thank an anonymous referee for carefully reading the paper and helpful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francisco Facchinei.

Additional information

Dedicated to Professor Hans-Jakob Lüthi on the occasion of his 65th birthday, in honor of his inspiring work in Operations Research.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Facchinei, F., Fischer, A. & Herrich, M. A family of Newton methods for nonsmooth constrained systems with nonisolated solutions. Math Meth Oper Res 77, 433–443 (2013). https://doi.org/10.1007/s00186-012-0419-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00186-012-0419-0

Keywords

Navigation