1) primal-dual nonlinear rescaling method
原对偶非线性变尺度方法
2) nonlinear primal-dual interior-point method
非线性原对偶内点法
1.
According to nonlinear primal-dual interior-point method, approximate Newton directions are constructed during iteration,and hence the weak coupling system can be fully decomposed.
该算法以非线性原对偶内点法为基础,在迭代计算过程中构造近似牛顿方向,实现弱耦合系统的完全解耦,保证算法具有局部线性收敛特性,且其计算速度要比非线性原对偶内点法快。
2.
In this paper,the node tearing method is adopted to convert the discrete reactive-power optimization model of large-scale power systems into a multi-zone decomposition one,and the nonlinear primal-dual interior-point method with discrete penalty is employed to solve the decomposition model and to further obtain reduced-order linear correction equations with a block structure.
根据节点分裂法将大规模电力系统的离散无功优化模型转化成多区域分解形式,再采用引入离散惩罚的非线性原对偶内点法求解,获得具有分块结构的降阶线性修正方程组。
3) nonlinear primal-dual interior point algorithm
非线性原-对偶内点法
1.
Besides describing the OPF model,this paper focuses on the nonlinear primal-dual interior point algorithm and higher-order correction strategies.
给出了电力系统最优潮流(OPF)的数学模型以及求解该模型的非线性原一对偶内点法,在阐述OPF数学模型的基础上,对基于非线性原-对偶内点法的OPF算法进行了详细的数学描述。
4) nonlinear prime dual interior algorithm
非线性原-对偶内点算法
5) simple dual nonlinear method
简单对偶非线性方法
1.
This paper gives a class of simple dual nonlinear methods (SDNM)for solving linear inequalities,which completes by solving the nonlinear extremum of simple form on the dual space transferred from the primal problem of linear inequalities.
将线性不等式组问题转化为一个形式简单的对偶空间非线性极值问题 ,本文提出了一类新的求解线性不等式组的方法——简单对偶非线性方法。
6) Nonlinear Lagrangians
非线性重新尺度化方法
1.
Nonlinear Lagrangians are variants of the classical Lagrangian,in which the multipliers or constraint functions are involved in nonlinear ways.
非线性Lagrange函数是经典的Lagrange函数的修正形式,它关于乘子向量或约束函数是非线性的函数,非线性重新尺度化方法是基于一类非线性Lagrange函数建立的求解优化问题的方法。
补充资料：原对
1.指原配的一对。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条