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Ngày xuất bản: 15/01/2024
Số lượt xem tóm tắt: 225
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DOI: https://doi.org/10.59907/daujs.2.4.2023.202
Số xuất bản
Tập 2 Số 4 (2023): English Edition
Chuyên mục
KHOA HỌC TỰ NHIÊN
Trích dẫn bài báo
Trần, V. T. (2024). A New Inertial Subgradient Projection Algorithm for Solving Pseudomonotone Equilibrium Problems. Tạp chí Khoa học Đại học Đông Á, 2(4). https://doi.org/10.59907/daujs.2.4.2023.202

A New Inertial Subgradient Projection Algorithm for Solving Pseudomonotone Equilibrium Problems

Trần Văn Thắng

Nội dung chính của bài viết

Tóm tắt

In this paper, we introduce a new inertial subgradient projection algorithm for finding a solution of an equilibrium problem in a real Hilbert space. The proposed algorithm combines subgradient projection methods with the self-adaptive and inertial techniques to generate iteration sequences. The convergent theorem are established under mild assumptions. Several fundamental experiments are shown to illustrate our algorithm.

Chi tiết bài viết

Từ khóa

Equilibrium problem, subgradient, projection, pseudomonotone, self adaptive stepsize, inertial technique

Tài liệu tham khảo

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