| Title |
Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization
|
|---|---|
| Published in |
Journal of Optimization Theory and Applications, January 2019
|
| DOI | 10.1007/s10957-018-01469-5 |
| Authors |
Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 57% |
| Computer Science | 2 | 29% |
| Unknown | 1 | 14% |