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Title: A self-correcting variable-metric algorithm framework for nonsmooth optimization

Authors:
 [1];  [2];  [1]
  1. Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA
  2. 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1093/imanum/drz008

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