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Potential Reduction Methods for the Nonlinear Complementarity Problem

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Progress in Optimization

Part of the book series: Applied Optimization ((APOP,volume 30))

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Abstract

A general framework of potential reduction methods is proposed for solving the nonlinear complementarity problem NCP(F). It is shown that this class of methods not only cover the traditional potential reduction methods, but also generate new methods which have not appeared before. The interesting feature is that we generalize the Hadamard product x o y in the commonly used formulation: F(x) - y = 0, x o y = 0, x ≥ 0, y ≥ 0, when transforming the nonlinear complementarity problem into a simply constrained system of equations. Global convergence is established under no more than the standard assumptions. Stronger convergence results are proved when special reformulations are considered.

This work was supported by the Australian Research Council. Most of this owrk was carried out when the author was in the Department of Mathematics and Statistics, The University of Melbourne.

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References

  1. B. Chen, X. Chen and C. Kanzow, A penalized Fischer-Burmeister NCP- function: Theoretical investigation and numerical results. Preprint 126, Institute of Applied Mathematics, University of Hamburg, Hamburg, Germany, 1997.

    Google Scholar 

  2. R.W. Cottle, J.-S. Pang and R.E. Stone, The Linear Complementarity Problems. Academic Press, New York, 1992.

    Google Scholar 

  3. F. Facchinei and C. Kanzow, Beyond monotonicity in regularization methods for nonlinear complementarity problems. Technical Report, Dipartmento di Informatica e Sistemistica, Universitá di Roma “La Sapienza”, Roma, 1997.

    Google Scholar 

  4. M.C. Ferris and J.-S. Pang, Engineering and economic applications of complementarity problems. SIAM Review, 39, 1997, 669–713.

    Article  MathSciNet  MATH  Google Scholar 

  5. M.C. Ferris and J.-S. Pang, Complementarity and Variational Problems: State of the Art. SIAM Publications, 1996.

    Google Scholar 

  6. A. Fischer, A special Newton-type optimization method. Optimization, 24, 1992, 269–284.

    Article  MathSciNet  MATH  Google Scholar 

  7. M. Fukushima, Merit functions for variational inequality and complementarity problems. In Nonlinear Optimization and Applications, G. Di Pillo and F. Giannessi, eds., Plenum Press, New York, 1996, pp. 155–170.

    Google Scholar 

  8. P.T. Harker and J.-S. Pang, Finite-dimensional variational inequality and nonlinear complementarity problem: A survey of theory, algorithms and applications. Mathematical Programming, 48, 1990, 161–220.

    Article  MathSciNet  MATH  Google Scholar 

  9. H. Jiang and L. Qi, A new nonsmooth equations approach to nonlinear complementarity problems. SIAM Journal on Control and Optimization, 35, 1997, 178–193.

    Article  MathSciNet  MATH  Google Scholar 

  10. H. Jiang and D. Ralph, Global and local superlinear convergence analysis of Newton-type methods for semismooth equations with smooth least squares. To appear in Reformulation - Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, M. Fukushima and L. Qi, eds.

    Google Scholar 

  11. C. Kanzow and H. Kleinmichel, A new class of semismooth Newton-type methods for nonlinear complementarity problems. Preprint 118, Institute of Applied Mathematics, University of Hamburg, Hamburg, Germany, January 1997.

    Google Scholar 

  12. J.-S. Pang, Complementarity problems. In Handbook of Global Optimization, R. Horst and P. Pardalos, eds., Kluwer Academic Publishers, Boston, 1994, pp. 271–338.

    Google Scholar 

  13. L. Qi and D. Sun, Nonsmooth equations and smoothing Newton methods. To appear in Chapter 7, this volume.

    Google Scholar 

  14. T. Wang, R.D.C. Monteiro and J.-S. Pang, An interior point potential reduction method for constrained equations. Mathematical Programming, 74, 1996, 159–197.

    Article  MathSciNet  MATH  Google Scholar 

  15. S.J. Wright and D. Ralph, A superlinear infeasible interior-point algorithm for monotone complementarity problems. Mathematics of Operations Research, 21, 1996, 815–838.

    Article  MathSciNet  MATH  Google Scholar 

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© 1999 Kluwer Academic Publishers

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Jiang, H. (1999). Potential Reduction Methods for the Nonlinear Complementarity Problem. In: Progress in Optimization. Applied Optimization, vol 30. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3285-5_9

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  • DOI: https://doi.org/10.1007/978-1-4613-3285-5_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-3287-9

  • Online ISBN: 978-1-4613-3285-5

  • eBook Packages: Springer Book Archive

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