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A Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization

机译：参数核功能，产生用于半角优化的内部点方法的最佳已知迭代

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Xiyao Luo;
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1. A Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization [J] . Xiyao Luo, Gang Ma, Xiaodong Hu, American Journal of Applied Mathematics . 2016,第6期

机译：参数核函数产生半定优化的内点方法的最佳已知迭代界
2. COMPLEXITY ANALYSIS OF PRIMAL-DUAL INTERIOR-POINT METHODS FOR SEMIDEFINITE OPTIMIZATION BASED ON A PARAMETRIC KERNEL FUNCTION WITH A TRIGONOMETRIC BARRIER TERM [J] . GUOQIANG WANG, ZHONGCHEN WU, ZHONGTUAN ZHENG, Numerical Algebra, Control and Optimization . 2015,第2期

机译：基于带三角函数障碍项的参数核函数的半对数优化的本对内点方法的复杂性分析
3. A new kind of simple kennel function yielding good iteration bounds for primal-dual interior-point methods [J] . Liu, L., Li, S. Journal of Computational and Applied Mathematics . 2011,第9期

机译：一种新的简单狗窝函数，为原始-对偶内点法产生良好的迭代边界
4. A New Long-Step Path-Following Interior-Point Method with O(vnL) Iteration-Complexity Bound for Semidefinite Programming [C] . Feng Zengzhe, Fang Liang International Conference on Natural Computation;ICNC '09 . 2009

机译：半定规划的具有O（vnL）迭代复杂度界的新长步路径跟踪内点方法
5. Exploiting structure in interior-point methods for linear and semidefinite programming [D] . Nouralishahi, Mehrdad 2006

机译：用于线性和半定规划的内点法中的结构开发
6. SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking [O] . Ioannis Ch. Paschalidis, Yang Shen, Pirooz Vakili, -1

机译：SDU：蛋白质对接中的随机全局优化的基于半定规划的低估方法
7. Complexity analysis of primal-dual interior-point methods for semidefinite optimization based on a parametric kernel function with a trigonometric barrier term [O] . Guoqiang Wang, Zhongchen Wu, Zhongtuan Zheng, 2015

机译：基于参数静脉函数的半纤维优化原语 - 双内点方法的复杂性分析

A Parametric Kernel Function Yielding the Best Known Iteration Bound of Interior-Point Methods for Semidefinite Optimization

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