A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Nonnegative sparsity-constrained optimization problem arises in many fields, such as the linear compressing sensing problem and the regularized logistic regression cost function.
In this paper, we introduce a new stepsize rule and establish a gradient projection algorithm.
We also obtain some convergence results under milder conditions.
American Psychological Association (APA)
Li, Ye& Sun, Jun& Qu, Biao. 2020. A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1196814
Modern Language Association (MLA)
Li, Ye…[et al.]. A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1196814
American Medical Association (AMA)
Li, Ye& Sun, Jun& Qu, Biao. A Gradient Projection Algorithm with a New Stepsize for Nonnegative Sparsity-Constrained Optimization. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1196814
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196814