A self-correcting variable-metric algorithm framework for nonsmooth optimization
- Authors:
-
- Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1498577
- Grant/Contract Number:
- SC0010615; DMS-1016291; DMS-1319356; IIS-1704458
- Resource Type:
- Published Article
- Journal Name:
- IMA Journal of Numerical Analysis
- Additional Journal Information:
- Journal Name: IMA Journal of Numerical Analysis; Journal ID: ISSN 0272-4979
- Publisher:
- Oxford University Press
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Curtis, Frank E., Robinson, Daniel P., and Zhou, Baoyu. A self-correcting variable-metric algorithm framework for nonsmooth optimization. United Kingdom: N. p., 2019.
Web. doi:10.1093/imanum/drz008.
Curtis, Frank E., Robinson, Daniel P., & Zhou, Baoyu. A self-correcting variable-metric algorithm framework for nonsmooth optimization. United Kingdom. doi:10.1093/imanum/drz008.
Curtis, Frank E., Robinson, Daniel P., and Zhou, Baoyu. Thu .
"A self-correcting variable-metric algorithm framework for nonsmooth optimization". United Kingdom. doi:10.1093/imanum/drz008.
@article{osti_1498577,
title = {A self-correcting variable-metric algorithm framework for nonsmooth optimization},
author = {Curtis, Frank E. and Robinson, Daniel P. and Zhou, Baoyu},
abstractNote = {},
doi = {10.1093/imanum/drz008},
journal = {IMA Journal of Numerical Analysis},
number = ,
volume = ,
place = {United Kingdom},
year = {2019},
month = {3}
}
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1093/imanum/drz008
DOI: 10.1093/imanum/drz008
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