内点算法是一类重要的数学规划问题。
On the basis of the Perturbed Karush-Kuhn-Tucker (KKT ) conditions of the primal problem, this paper presents a new interior point algorithm to solve power system weighted nonlinear L( norm (IPWNL1) state and parameter estimation problem.
基于原问题的扰动Karush-Kuhn-Tucker(KKT)条件，本文提出了一种新的电力系统加权非线性L1范数状态及参数估计内点算法。
参考来源 - 基于现代内点理论的电力系统加权非线性L·2,447,543篇论文数据，部分数据来源于NoteExpress
提出基于仿射变换的内点算法求解大规模电力系统可靠性评估。
A new interior point algorithm based on the general power transformation is developed.
提出了求解电力系统最优潮流问题新的非线性多中心校正内点算法。
A novel nonlinear multiple centrality corrections interior point algorithm is presented to solve optimal power flow problems of power systems in this paper.
该篇论文针对约束最优化的一般性问题，提出一种具有全局收敛性的内点算法。
In this paper we describe an interior algorithm with global convergence of the general optimization problem.
应用推荐