Journal article
Infeasibility detection in the alternating direction method of multipliers for convex optimization
- Abstract:
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The alternating direction method of multipliers is a powerful operator splitting technique for solving structured optimization problems. For convex optimization problems, it is well known that the algorithm generates iterates that converge to a solution, provided that it exists. If a solution does not exist, then the iterates diverge. Nevertheless, we show that they yield conclusive information regarding problem infeasibility for optimization problems with ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 656.3KB)
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- Publisher copy:
- 10.1007/s10957-019-01575-y
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Authors
Funding
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Journal:
- Journal of Optimization Theory and Applications Journal website
- Volume:
- 183
- Issue:
- 2
- Pages:
- 490-519
- Publication date:
- 2019-08-13
- Acceptance date:
- 2019-07-27
- DOI:
- EISSN:
-
1573-2878
- ISSN:
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0022-3239
- Source identifiers:
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1038820
Item Description
- Language:
- english
- Keywords:
- Pubs id:
-
pubs:1038820
- UUID:
-
uuid:dc140c81-1993-429a-aa70-f72c71fa0ae9
- Local pid:
- pubs:1038820
- Deposit date:
- 2019-08-06
Terms of use
- Copyright date:
- 2019
- Notes:
- This is the accepted manuscript version of the article. The final version is available from Springer Verlag at: http://dx.doi.org/10.1007/s10957-019-01575-y
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