TY - JOUR
T1 - Predictor-corrector methods for general mixed quasi variational inequalities
AU - Aslam Noor, Muhammad
AU - Inayat Noor, Khalida
AU - Al-Khaled, Kamel
PY - 2004/10/15
Y1 - 2004/10/15
N2 - In this paper, we use the auxiliary principle technique to suggest a class of predictor-corrector methods for solving general mixed quasi variational inequalities. The convergence of the proposed methods only requires the partially relaxed strongly monotonicity of the operator, which is weaker than co-coercivity. As special cases, we obtain various known and new results for solving various classes of variational inequalities and related problems.
AB - In this paper, we use the auxiliary principle technique to suggest a class of predictor-corrector methods for solving general mixed quasi variational inequalities. The convergence of the proposed methods only requires the partially relaxed strongly monotonicity of the operator, which is weaker than co-coercivity. As special cases, we obtain various known and new results for solving various classes of variational inequalities and related problems.
KW - Auxiliary principle
KW - Convergence
KW - Fixed points
KW - Iterative methods
KW - Variational inequalities
UR - http://www.scopus.com/inward/record.url?scp=4544341283&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=4544341283&partnerID=8YFLogxK
U2 - 10.1016/j.amc.2003.08.060
DO - 10.1016/j.amc.2003.08.060
M3 - Article
AN - SCOPUS:4544341283
SN - 0096-3003
VL - 157
SP - 643
EP - 652
JO - Applied Mathematics and Computation
JF - Applied Mathematics and Computation
IS - 3
ER -