A relaxed projection method using a new linesearch for the split feasibility problem

  • Suantai, Suthep; 
  • Kesornprom, Suparat; 
  • Pholasa, Nattawut; 
  • Cho, Yeol Je; 
  • Cholamjiak, Prasit
Citations

WEB OF SCIENCE

5
Citations

SCOPUS

6

초록

In this work, we propose a new relaxed projection algorithm for the split feasibility problem with a new linesearch. The proposed method does not require the computation on the matrix inverse and the largest eigenvalue of the matrix. We then prove some weak convergence theorems under suitable conditions in the framework of Hilbert spaces. Finally, we give some numerical examples in signal processing to validate the theoretical analysis results. The obtained results improve the corresponding results in the literature.

키워드

split feasibility problem; CQ-algorithm; Hilbert space; linesearch; signal recovery; CQ ALGORITHM; MAPPINGS; SETS
제목
A relaxed projection method using a new linesearch for the split feasibility problem
저자
Suantai, Suthep; Kesornprom, Suparat; Pholasa, Nattawut; Cho, Yeol Je; Cholamjiak, Prasit
DOI
10.3934/math.2021163
발행일
2021-01
유형
Article
저널명
AIMS MATHEMATICS
권
6
호
3
페이지
2690 ~ 2703