IJPAM: Volume 87, No. 2 (2013)
MONTE CARLO METHOD BASED ON INEXACT
NEWTON TO THE SVIP WITH CONSTRAINT CONDITIONS
NEWTON TO THE SVIP WITH CONSTRAINT CONDITIONS
Shuang Chen
, Zunquan Xia
, Deshui Yu
, Fanyun Meng
Ganjingzi District
Dalian, Liaoning Province, Linggong 2, P.R. CHINA





Dalian, Liaoning Province, Linggong 2, P.R. CHINA
Abstract. In this paper we apply the Monte Carlo method based on inexact
Newton to solving a class of stochastic variational inequality
problems (SVIPs). Locally convergence results of the proposed
methods are proved under appropriate conditions. It show that the
conditions we impose are satisfied and that the solutions,
efficiently generated by proposed the Monte Carlo inexact
Newton-procedure, have desirable properties.
Received: April 21, 2013
AMS Subject Classification: 90C15, 65C05
Key Words and Phrases: stochastic variational inequality problem, Newton approximation
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DOI: 10.12732/ijpam.v87i2.11 How to cite this paper?
Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2013
Volume: 87
Issue: 2