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~isPartOf:"Journal of scheduling"
~isPartOf:"Mathematics of operations research"
~person:"Chen, Xiaojun"
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conjugate gradient method
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constrained nonsmooth nonconvex optimization
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Chen, Xiaojun
Sviridenko, Maxim
9
Nagarajan, Viswanath
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Basu, Amitabh
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Błażewicz, Jacek
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Cornuéjols, Gérard
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Végh, László A.
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Williamson, David P.
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Ye, Jane J.
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Bolte, Jérôme
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Toh, Kim-Chuan
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Xu, Huifu
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Ye, Yinyu
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Zambelli, Giacomo
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Ahmadi, Amir Ali
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Artigues, Christian
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Bomze, Immanuel M.
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Lasserre, Jean-Bernard
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Laurent, Monique
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Lee, Jon
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Lisser, Abdel
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Journal of scheduling
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1
Sparse solutions of a class of constrained optimization problems
Yang, Lei
;
Chen, Xiaojun
;
Xiang, Shuhuang
- In:
Mathematics of operations research
47
(
2022
)
3
,
pp. 1932-1956
Persistent link: https://www.econbiz.de/10013374977
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2
Generalized conjugate gradient methods for l1 regularized convex quadratic programming with finite convergence
Lu, Zhaosong
;
Chen, Xiaojun
- In:
Mathematics of operations research
43
(
2018
)
1
,
pp. 275-303
Persistent link: https://www.econbiz.de/10011818761
Saved in:
3
Optimality and complexity for constrained optimization problems with nonconvex regularization
Bian, Wei
;
Chen, Xiaojun
- In:
Mathematics of operations research
42
(
2017
)
4
,
pp. 1063-1084
Persistent link: https://www.econbiz.de/10011773305
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