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An optimal high-order tensor method for convex optimization
Jiang, Bo; Wang, Haoyue; Zhang, Shuzhong - In: Mathematics of operations research 46 (2021) 4, pp. 1390-1412
Persistent link: https://www.econbiz.de/10012796646
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A first-order primal-dual method for nonconvex constrained optimization based on the augmented Lagrangian
Zhu, Daoli; Zhang, Shuzhong - In: Mathematics of operations research 49 (2024) 1, pp. 125-150
Persistent link: https://www.econbiz.de/10014527298
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Pivot rules for linear programming : a survey on recent theoretical developments
Terlaky, Tamás; Zhang, Shuzhong - 1993
Persistent link: https://www.econbiz.de/10000122427
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A deep cut ellipsoid algorithm for convex programming : theory and applications
Frenk, J. B.; Gromicho, J.; Zhang, Shuzhong - 1994
Persistent link: https://www.econbiz.de/10000122428
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On the strictly complementary slackness relation in linear programming
Zhang, Shuzhong - 1994
Persistent link: https://www.econbiz.de/10000122429
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An O (nL) iteration bound primal-dual cone affine scaling algorithm
Sturm, Jos F.; Zhang, Shuzhong - 1993
Persistent link: https://www.econbiz.de/10000122530
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A dual and interior point approach to solve convex min-max problems
Sturm, Jos F. - 1995
Persistent link: https://www.econbiz.de/10000904880
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On a wide region of centers and primal-dual interior point algorithms for linear programming
Sturm, Jos F.; Zhang, Shuzhong - 1995
Persistent link: https://www.econbiz.de/10000913127
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Duality and self-duality for conic convex programming
Luo, Zhi-Quan; Sturm, Jos F.; Zhang, Shuzhong - 1996
Persistent link: https://www.econbiz.de/10000932249
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On weighted centers for semidefinitive programming
Sturm, Jos F.; Zhang, Shuzhong - 1996
Persistent link: https://www.econbiz.de/10000937955