مشخصات پژوهش

صفحه نخست /Strong Convergence of ...
عنوان Strong Convergence of Regularized New Proximal Point Algorithms
نوع پژوهش مقاله چاپ‌شده
کلیدواژه‌ها 47J25 · 47H05 · 47H09 · 90C29 · 90C90
چکیده We consider the regularization of two proximal point algorithms (PPA)with errors for a maximalmonotone operator in a real Hilbert space, previously studied, respectively, by Xu, and by Boikanyo and Morosanu, where they assumed the zero set of the operator to be nonempty. We provide a counterexample showing an error in Xu’s theorem, and then we prove its correct extended version by giving a necessary and sufficient condition for the zero set of the operator to be nonempty and showing the strong convergence of the regularized scheme to a zero of the operator. This will give a first affirmative answer to the open question raised by Boikanyo and Morosanu concerning the design of a PPA, where the error sequence tends to zero and a parameter sequence remains bounded. Then, we investigate the second PPA with various new conditions on the parameter sequences and prove similar theorems as above, providing also a second affirmative answer to the open question of Boikanyo and Morosanu. Finally, we present some applications of our new convergence results to optimization and variational inequalities.
پژوهشگران سیروس مرادی (نفر دوم)، بهزاد دجعفری روحانی (نفر اول)