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.
首先介绍了原-对偶内点算法的主要计算步骤，阐明哪一步上可以进行并行化处理。
This paper first describes the steps involved in primal-dual interior point algorithm and explains which step in it can be parallelized.
最后还对原-对偶内点算法中的计算瓶颈做出了分析，给出了相应的优化解决方案，并展望了该算法的应用前景。
Finally, according to the bottleneck of Primal-Dual Interior-Point Algorithm, corresponding solution is given. And the application of this algorithm in the future is prospected.
基于内点算法的思想，利用广义投影技术构造了一求解线性约束的非线性规划问题的变尺度方向内点算法，并给出了其收敛性证明。
Based on internal algorithm, a generalized variable metric projection internal algorithm for nonlinear programming with linear constraints and the convergence proof are given.
利用牛顿方向和中心路径方向，获得了求解单调线性互补问题的一种内点算法，并证明该算法经过多项式次迭代之后收敛到原问题的一个最优解。
By using Newton direction and centering direction, we establish a feasible interior point algorithm for monotone linear complementarity problem and show that this method is polynomial in complexity.
然后利用切边处理技术，实现任意区域内的布点算法。
Then by cutting boundary technique, algorithm of points placement can be realize in arbitrary areas.
然后利用切边处理技术，实现任意区域内的布点算法。
Then by cutting boundary technique, algorithm of points placement can be realize in arbitrary areas.
应用推荐