Auxiliary Principle for Generalized Strongly Nonlinear Mixed Variational-Like Inequalities
Author(s) -
Zeqing Liu,
Chen Lin,
Jeong Sheok Ume,
Shin Min Kang
Publication year - 2009
Publication title -
journal of inequalities and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 50
eISSN - 1029-242X
pISSN - 1025-5834
DOI - 10.1155/2009/758786
Subject(s) - mathematics , variational inequality , nonlinear system , convergence (economics) , class (philosophy) , sequence (biology) , variational principle , mathematical analysis , computer science , physics , quantum mechanics , artificial intelligence , biology , economics , genetics , economic growth
We introduce and study a class of generalized strongly nonlinear mixed variational-like inequalities, which includes several classes of variational inequalities and variational-like inequalities as special cases. By applying the auxiliary principle technique and KKM theory, we suggest an iterative algorithm for solving the generalized strongly nonlinear mixed variational-like inequality. The existence of solutions and convergence of sequence generated by the algorithm for the generalized strongly nonlinear mixed variational-like inequalities are obtained. The results presented in this paper extend and unify some known results
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom