1) the extended vertical linear complementarity problem
广义垂直线性互补问题
1.
In this paper I consider the MAOR method convergence area for LCP(M,q), the MAOR method for the extended vertical linear complementarity problem, the extended vertical linear complementarity problem, localization of the perron roots of matrices.
本文主要研究了线性互补问题的MAOR迭代法、广义垂直线性互补问题、广义垂直线性互补问题的MAOR迭代法以及矩阵Perron根估计。
2) VLCP
垂直线性互补问题
1.
In this paper,by using the Fischer function,the vector linear complementarity problem over a convex polyhedron(VLCP) is equivalently reformulated as a system of nonlinear equations,and we give error bound for VLCP under relatively weaker conditions.
借助Fischer函数将凸多面体上的垂直线性互补问题(VLCP)等价地转化为一个非线性方程组系统,在较弱条件下,给出了VLCP的误差界;同时,给出了一种求解VLCP的Levenberg-Marquardt方法,并在不要求存在非退化解的条件下证明了这种方法的全局收敛性和二次收敛性。
2.
In this paper, under suitable conditions, we provide the representation of the solution set for the vertical linear complementarity problem (VLCP ) via the properties of affine variational inequalities problem.
在适当假设下,借助仿射变分不等式问题解的特点,给出了垂直线性互补问题解集结构,并由此对其绝对误差界和相对误差界进行了探讨。
3) general linear complementarity problem
广义线性互补问题
1.
A gradient-based neural network for the general linear complementarity problem;
解广义线性互补问题的一个基于梯度的神经网络模型
2.
In this paper,a smooth merit function is constructed for general linear complementarity problem(GLCP),which possesses fine coercive property.
本文构造了广义线性互补问题的一个光滑价值函数,该函数具有良好的微分性质。
3.
A nongradient neural network is presented for solving a kind of the general linear complementarity problem.
给出求解一类广义线性互补问题的一个非梯度的神经网络模型。
5) HLCP
广义水平线性互补问题
6) extended vertical linear complementarity problem
扩展的垂直线性互补问题
1.
We extend P_property in the linear complementarity problem to V_P property in the extended vertical linear complementarity problem.
进一步研究扩展的垂直线性互补问题,即将线性互补问题中的P性质在扩展的垂直线性互补问题中推广为V P性质。
补充资料：广义特征值问题数值解法
见代数特征值问题数值解法。
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