Proximal Parallel Alternating Direction Method for Monotone Structured Variational Inequalities
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
Proximal Parallel Alternating Direction Method for Monotone Structured Variational Inequalities

Authors: Min Sun, Jing Liu

Abstract:

In this paper, we focus on the alternating direction method, which is one of the most effective methods for solving structured variational inequalities(VI). In fact, we propose a proximal parallel alternating direction method which only needs to solve two strongly monotone sub-VI problems at each iteration. Convergence of the new method is proved under mild assumptions. We also present some preliminary numerical results, which indicate that the new method is quite efficient.

Keywords: structured variational inequalities, proximal point method, global convergence

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088228

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1319

References:


[1] Glowinski, R.: Numerical Methods for Nonlinear Variational Problems. Springer, New York (1984)
[2] Glowinski, R., Le Tallec, P.: Augmented Lagrangian and Operator- Splitting Methods in Nonlinear Mechanics. SIAM Studies in Applied Mathematics, Philadelphia (1989)
[3] Eckstin, J., Fukushima, M.: Some reformulation and applications of the alternating direction method of multipliers. In: Hager, W.W.(ed.), Large Scal Optimization: State of the Art. Kluwer Academic, Dordrecht (1994)
[4] He, B.S., Liao, L.Z., Han, D.R., Yang, H.: A new inexact alternating directions method for monotone variational inequalities. Math. Program, Ser. A 2002, 92: 103-118.
[5] He B.S.: Parallel splitting augmented Lagrangian methods for monotone structured variational inequalities. Comput. Optim. Appl. 2009, 42: 195- 212.
[6] Yuan X.M.: An improved proximal alternating direction method for monoton variational inequalities with separable structure. Comput. Optim. Appl. 2011, 49(1): 17-29.
[7] Gabay, D., Applications of the method of multipliers to variational inequalities. In: M.Fortin and R.Glowinski(Eds) Augmented Lagrange Methods: Applications to the Solution of Boundary- valued Problems( Ams terdam: North Holland), 299-331 (1983)
[8] Gabay, D. and Mercier, B.: A dual algorithm for the solution of nonlinear variational problems via finite-element approximations. Computers and Mathematics with Applications, 1976, 2: 17-40.
[9] Chen, G., Teboulle, M.: A proximal-based decomposition method for convex minimization problem. Math. Program. 1994, 64: 81-101.
[10] Eckstein, J., Bertsekas, D.P.: On the Douglas-Rachford splitting method and the proximal points algorithm for maximal monotone operators. Math. Program. 1992, 55: 293-318.
[11] Fukushima, M.: Application of the alternating direction method of multipliers to separable convex programming problems. Comput. Optim. Appl. 1992, 2: 93-111.
[12] He, B.S., Yang, H., Wang, S.L.: Alternating direction method with self-adaptive parameter for monotone variational inequalities. J. Optim. Theory Appl. 2000, 106: 349-368.
[13] Pardalos, P.M., Phillips, A., Rosen, J.B.: Topics in Parallel Computing in Mathematical Programming. Science Press, Marrickville (1992)
[14] Ye, C.H., Yuan, X.M.: A descent method for structured monotone variational inequalities. Optimization Methods and Software, 2007, 22(2): 329-338.
[15] Jiang, Z.K., Yuan, X.M.: New parallel descent-like method for solving a class of variational inequalities. J. Optim. Theory Appl. 2010, 145(2): 311-323.
[16] He, B.S., Wang, S.L., Yang, H.: A modified variable-penalty alternating directions method for monotone variational inequalities. J. Comput. Math. 2003, 21: 495-504.
[17] Wang, Y.Q., Research of Corn Seeds Contour Detection Algorithm Based on BEMD and Soft Morphology. IJCSI International Journal of Computer Science Issues, 10(1): 664-667.