A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
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: 2016DOI: 10.1109/MSP.2015.2481563
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A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing
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| contributor author | Mingyi Hong | |
| contributor author | Meisam Razaviyayn | |
| contributor author | Zhi-Quan Luo | |
| contributor author | Jong-Shi Pang | |
| date accessioned | 2020-03-13T20:01:34Z | |
| date available | 2020-03-13T20:01:34Z | |
| date issued | 2016 | |
| identifier other | wNsWywjTmlgXSYbxjBmhMGrbzXjJ4v4TKc1C8J3rj0Q4PqykQX.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1430124 | |
| format | general | |
| language | English | |
| title | A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 10547011 | |
| identifier doi | 10.1109/MSP.2015.2481563 | |
| journal title | IEEE Signal Processing Magazine | |
| coverage | Academic | |
| pages | 57-77 | |
| journal volume | 33 | |
| journal issue | 1 | |
| filesize | 3723193 | |
| citations | 3 |