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Mendeley readers
| Chapter title |
Stochastic Convex Optimization
|
|---|---|
| Chapter number | 4 |
| Book title |
First-order and Stochastic Optimization Methods for Machine Learning
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-39568-1_4 |
| Book ISBNs |
978-3-03-039567-4, 978-3-03-039568-1
|
| Authors |
Guanghui Lan, Lan, Guanghui |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| China | 3 | 2% |
| Switzerland | 2 | 1% |
| Iran, Islamic Republic of | 1 | <1% |
| Unknown | 126 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 35% |
| Student > Master | 21 | 15% |
| Researcher | 14 | 10% |
| Student > Bachelor | 9 | 7% |
| Professor | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 67 | 49% |
| Engineering | 20 | 15% |
| Mathematics | 15 | 11% |
| Agricultural and Biological Sciences | 3 | 2% |
| Business, Management and Accounting | 2 | 1% |
| Other | 4 | 3% |
| Unknown | 26 | 19% |