A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Original language	English
Pages (from-to)	1710–1733
Number of pages	24
Journal	Mathematics of Operations Research
Volume	49
Issue number	3
DOIs	https://doi.org/10.1287/moor.2022.0286
Publication status	Published - Aug 2024

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title = "A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn",

author = "Chao Zhang and Xiaojun Chen and Shiqian Ma",

year = "2024",

month = aug,

doi = "10.1287/moor.2022.0286",

language = "English",

volume = "49",

pages = "1710–1733",

journal = "Mathematics of Operations Research",

issn = "0364-765X",

publisher = "INFORMS Inst.for Operations Res.and the Management Sciences",

number = "3",

}

TY - JOUR

T1 - A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn

AU - Zhang, Chao

AU - Chen, Xiaojun

AU - Ma, Shiqian

PY - 2024/8

Y1 - 2024/8

U2 - 10.1287/moor.2022.0286

DO - 10.1287/moor.2022.0286

M3 - Journal article

SN - 0364-765X

VL - 49

SP - 1710

EP - 1733

JO - Mathematics of Operations Research

JF - Mathematics of Operations Research

IS - 3

ER -