상세 보기
A new strong convergence for solving split variational inclusion problems
- Thong, Duong Viet;
- Dung, Vu Tien;
- Cho, Yeol Je
Citations
WEB OF SCIENCE
16Citations
SCOPUS
17초록
The purpose of this article is to propose an algorithm for finding an approximate solution of a split variational inclusion problem for monotone operators. By using inertial method, we get a new and simple algorithm for such a problem. Under standard assumptions, we study the strong convergence theorem of the proposed algorithm. As application, we study the split feasibility problem in real Hilbert spaces. Finally, for supporting the convergence of the proposed algorithm, we also consider several preliminary numerical experiments for solving signal recovery by compressed sensing.
키워드
Inertial method; Contraction method; Split feasibility problem; Signal recovery; 47 J20; 47 J25; INERTIAL PROXIMAL ALGORITHM; MAXIMAL MONOTONE-OPERATORS; NULL POINT PROBLEM; CONTRACTION METHODS; GRADIENT-METHOD; HILBERT-SPACES; PROJECTION; FEASIBILITY; MINIMIZATION; SETS
- 제목
- A new strong convergence for solving split variational inclusion problems
- 저자
- Thong, Duong Viet; Dung, Vu Tien; Cho, Yeol Je
- 발행일
- 2021-02
- 유형
- Article
- 권
- 86
- 호
- 2
- 페이지
- 565 ~ 591