引入了一类新的含(h,η).单调算子和α-h-强单调算子的广义非线性混合拟变分包含,并建立了关于(h,η)_单调算子的广义图像收敛理论。依据广义图像收敛理论,并应用关于α,-η-单调算子的预解算子技巧,作者提出了一种新的扰动迭代算法来解这类变分不等式。进而,研究了这类算法的收敛性和稳定性。结果是新的,并推广和统一了近期文献中的一些相关结论。
In this paper, we introduce a new generalized nonlinear mixed quasi-variational inclusion involving (h,η)-monotone mappings and a-h-strongly monotone mappings, and establish the generalized-graph-convergence theory about (h, η)- monotone mappings. Based on the generalized-graph-convergence theory, by using the resolvent operator technique about( h,η) -monotone mappings, we suggest a new perturbed iterative algorithm to compute approximate solutions of this class of variational inequality. Further-more , we also discuss the convergence and stability of the perturbed algorithm. Our results are new, unify and generalize some corresponding results in recent literatures.