Abstract
We study the proximal method with the regularized logarithmic barrier, originally stated by Attouch and Teboulle for positively constrained optimization problems, in the more general context of nonlinear complementarity problems with monotone operators. We consider two sequences generated by the method. We prove that one of them, called the ergodic sequence, is globally convergent to the solution set of the problem, assuming just monotonicity of the operator and existence of solutions; for convergence of the other one, called the proximal sequence, we demand some stronger property, like paramonotonicity of the operator or the so called “cut property” of the problem.
Similar content being viewed by others
References
Attouch, H., Teboulle, M.: Regularized Lotka–Volterra dynamical system as a continuous proximal-like method in optimization. J. Optim. Theory Appl. 121, 541–570 (2004)
Auslender, A., Teboulle, M., Ben-Tiba, S.: A logarithmic-quadratic proximal method for variational inequalities. Comput. Optim. Appl. 12, 31–40 (1999)
Burachik, R., Dutta, J.: Inexact proximal point methods for variational inequality problems. SIAM J. Optim. 20, 2653–2678 (2010)
Burachik, R.S., Iusem, A.N.: A generalized proximal point algorithm for the nonlinear complementarity problem. RAIRO Recherche Opérationalle 33, 447–479 (1999)
Burachik, R.S., Iusem, A.N., Svaiter, B.F.: Enlargement of maximal monotone operators with application to variational inequalities. Set Valued Anal. 5, 159–180 (1997)
Burachik, R.S., Svaiter, B.F.: \(\varepsilon \)-enlargement of maximal monotone operators in Banach spaces. Set Valued Anal. 7, 117–132 (1999)
Burachik, R.S., Svaiter, B.F.: A relative error tolerance for a family of generalized proximal point methods. Math. Oper. Res. 26(4), 816831 (2001)
Censor, Y., Zenios, S.A.: Proximal minimization algorithm with D-functions. J. Optim. Theory Appl. 73, 451–464 (1992)
Chen, G., Teboulle, M.: Convergence analysis of a proximal-like minimization algorithm using Bregman functions. SIAM J. Optim. 3, 538–543 (1993)
Crouzeix, J.P., Marcotte, P., Zhu, D.: Conditions ensuring the applicability of cutting-plane methods for solving variational inequalities. Math. Program. 88, 521–539 (2000)
Eggermont, P.P.B.: Multiplicative iterative algorithms for convex programming. Linear Algebra Appl. 130, 25–42 (1990)
Erlander, S.: Entropy in linear programs. Math. Program. 21, 137–151 (1981)
Güler, O.: Ergodic convergence in proximal point algorithms with Bregman functions. In Advances in Optimization and Approximation, pp. 155–165. Kluwer, Dordrecht (1994)
Hadjisavvas, N., Schaible, S.: On a generalization of paramonotone maps and its application to solving the Stampacchia variational inequality. Optimization 55, 593–604 (2006)
Iusem, A.N.: Some properties of generalized proximal point methods for quadratic and linear programming. J. Optim. Theory Appl. 85, 593–612 (1995)
Iusem, A.N.: On some properties of paramonotone operators. J. Convex Anal. 5, 269–278 (1998)
Iusem, A.N.: Augmented Lagrangian methods and proximal point methods for convex optimization. Investigación Operativa 8, 12–49 (1999)
Iusem, A.N., Svaiter, B.F., Teboulle, M.: Entropy-like proximal methods in convex programming. Math. Oper. Res. 19, 790–814 (1994)
Iusem, A.N., Teboulle, M.: On the convergence rate of entropic proximal optimization algorithms. Comput. Appl. Math. 12, 153–168 (1993)
Iusem, A.N., Teboulle, M.: Convergence rate analysis of nonquadratic proximal and augmented Lagrangian methods for convex and linear programming. Math. Oper. Res. 20, 657–677 (1995)
Kaplan, A., Tichatschke, R.: Interior proximal method for variational inequalities: case of nonparamonotone operators. Set Valued Anal. 12, 357–382 (2004)
Kiwiel, K.C.: Proximal minimization methods with generalized Bregman functions. SIAM J. Control Optim. 35, 1142–1168 (1997)
Langenberg, N.: On the cutting plane property and the Bregman proximal point algorithm. J. Convex Anal. 18, 601–619 (2011)
Martinet, B.: Régularisation d’inéquations variationnelles par approximations successives. Revue Française de Informatique et Recherche Opérationnelle 4, 154–158 (1970)
Minty, G.: A theorem on monotone sets in Hilbert spaces. J. Math. Anal. Appl. 11, 434–439 (1967)
Rockafellar, R.T.: Monotone operators and the proximal point algorithm. SIAM J. Control Optim. 14, 877–898 (1976)
Silva, P.J.S., Eckstein, J., Humes Jr, C.: Rescaling and stepsize selection in proximal methods using separable generalized distances. SIAM J. Optim. 12, 238–261 (2001)
Silva, P.J.S., Eckstein, J.: Double-regularization proximal methods, with complementarity applications. Comput. Optim. Appl. 33(2–3), 115156 (2006)
Author information
Authors and Affiliations
Corresponding author
Additional information
The work of this author was partially supported by PRONEX-Optimization. Partially supported by CNPq Grant No. 301280/86.
Rights and permissions
About this article
Cite this article
Gárciga Otero, R., Iusem, A. A proximal method with logarithmic barrier for nonlinear complementarity problems. J Glob Optim 64, 663–678 (2016). https://doi.org/10.1007/s10898-015-0266-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10898-015-0266-7