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International Journal of Computer Mathematics Volume 88, 2011 - Issue 15
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Section A

A new infeasible interior-point algorithm with full step for linear optimization based on a simple function

Lipu Zhang Department of Mathematics, Zhejiang A & F University, Zhejiang, 311300, China; Department of Mathematics, Shanghai University, Shanghai, 200444, ChinaCorrespondence[email protected]
&
Yinghong Xu Department of Mathematics, Zhejiang Sci-Tech University, Zhejiang, 310018, China
Pages 3163-3185 | Received 22 Dec 2010, Accepted 09 Jun 2011, Published online: 27 Jul 2011

Citations (4)

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Read on this site (1)

Lipu Zhang, Yanqin Bai & Yinghong Xu. (2013) A full-step interior-point algorithm for second-order cone optimization based on a simple locally kernel function. Optimization Methods and Software 28:3, pages 619-639.
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Articles from other publishers (3)

Weiwei Wang, Hongwei Liu & Hongmei Bi. (2018) Simplified full Nesterov–Todd step infeasible interior-point algorithm for semidefinite optimization based on a kernel function. Journal of Applied Mathematics and Computing 59:1-2, pages 445-463.
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Weiwei Wang, Hongwei Liu & Hongmei Bi. (2018) Simplified infeasible interior-point algorithm for linear optimization based on a simple function. Operations Research Letters 46:5, pages 538-542.
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Yinghong Xu, Lipu Zhang & Jing Zhang. (2015) A full-modified-Newton step infeasible interior-point algorithm for linear optimization. Journal of Industrial and Management Optimization 12:1, pages 103-116.
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