Abstract
We study a local feature of two interior-point methods: a logarithmic barrier function method and a primal-dual method. In particular, we provide an asymptotic analysis on the radius of the sphere of convergence of Newton's method on two equivalent systems associated with the two aforementioned interior-point methods for nondegenerate nonlinear programs. We show that the radii of the spheres of convergence have different asymptotic behavior, as the two methods attempt to follow a solution trajectory {x μ} that, under suitable conditions, converges to a solution as μ → 0. We show that, in the case of the barrier function method, the radius of the sphere of convergence of Newton's method is Θ (μ), while for the primal-dual method the radius is bounded away from zero as μ → 0. This work is an extension of the authors earlier work (Ref. 1) on linear programs.
Similar content being viewed by others
References
Villalobos, M. C., Tapia, R. A., and Zhang, Y., Local Behavior of the Newton Method on Two Equivalent Systems from Linear Programming, Journal of Optimization Theory and Applications, Vol. 112, pp. 239–263, 2002.
Nash, S. G., and Sofer, A., Why Extrapolation Helps Barrier Methods, Technical Report, Operations Research and Engineering Department, George Mason University, Fairfax, Virginia, 1998.
Wright, M. H., Some Properties of the Hessian in the Logarithmic Barrier Function, Mathematical Programming, Vol. 67, pp. 265–295, 1994.
Wright, M. H., Why a Pure Primal Newton Barrier Step May be Infeasible, SIAM Journal on Optimization, Vol. 5, pp. 1–12, 1995.
Wright, M. H., Ill-conditioning and Computational Error in Primal-Dual Interior Methods for Nonlinear Programming, SIAM Journal on Optimization, Vol. 9, pp. 84–111, 1998.
El-bakry, A. S., Tapia, R. A., Tsuchiya, T., and Zhang, Y., On the Formulation and Theory of the Newton Interior-Point Method for Nonlinear Programming, Journal of Optimization Theory and Applications, Vol. 89, pp. 507–541, 1996.
Wright, S. J., On the Convergence of the Newton Log-Barrier Method, Mathematical Programming, Vol. 90, pp. 71–100, 2001.
Avriel, M., Nonlinear Programming: Analysis and Methods, Prentice-Hall, Englewood Cliffs, New Jersey, 1976.
Frisch, R., The Logarithmic Potential Method of Convex Programming, Technical Report, University Institute of Economics, Oslo, Norway, 1955.
Fiacco, A. V., and McCormick, G. P., Nonlinear Programming, Sequential Unconstrained Minimization Techniques, Wiley, New York, NY, 1968; reprinted by SIAM Publications, Philadelphia, Pennsylvania, 1990.
Murray, W., Analytic Expressions for the Eigenvalues and Eigenvectors of Hessian Matrices of Barrier and Penalty Functions, Journal of Optimization Theory and Applications, Vol. 7, pp. 189–196, 1971.
McLinden, L., An Analogue of Moreau's Proximation Theorem, with Application to the Nonlinear Complementary Problem, Pacific Journal of Mathematics, Vol. 88, pp. 101–161, 1980.
Dennis, J. E., and Schnabel, R. B., Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice-Hall, Englewood Cliffs, New Jersey, 1983; reprinted by SIAM Publications, Philadelphia, Pennsylvania, 1996.
Villalobos, M. C., The Behavior of Newton's Method on Two Equivalent Systems from Linear and Nonlinear Programming, PhD Thesis, Department of Computational and Applied Mathematics, Rice University, 1999.
Wright, S. J., and Jarrie, F., On the Role of the Objective Function in Barrier Methods, Mathematical Programming, Vol. 84A, pp. 357–373, 1998.
Hock, W., and Schittkowski, K., Test Examples for Nonlinear Programming Codes, Lecture Notes in Economics and Mathematical Systems, Springer Verlag, Berlin, Germany, 1981.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Villalobos, M.C., Tapia, R.A. & Zhang, Y. Sphere of Convergence of Newton's Method on Two Equivalent Systems from Nonlinear Programming. Journal of Optimization Theory and Applications 121, 489–514 (2004). https://doi.org/10.1023/B:JOTA.0000037601.54325.3d
Issue Date:
DOI: https://doi.org/10.1023/B:JOTA.0000037601.54325.3d