1.
C-Functions and Merit Functions for Symmetric Cone Complementarity Problems;
对称锥互补问题的互补函数和价值函数研究
2.
Inexact Generalized Newton Method with New NCP Function
带新的非线性互补函数的广义非精确牛顿法
3.
Research on Dynamic Status of Electricity Market Based on Smooth Nonlinear Complementary Function;
基于光滑非线性互补函数的电力市场动态研究
4.
Dynamic Bidding Model and Numerical Method Studies of Power Market Based on Nonlinear Complementarity Problem;
基于非线性互补函数（NCP）的电力市场动态投标模型和数值方法研究
5.
The SC~1 Property of Expected Residual Functions Arising from Stochastic Complementarity Problems
随机互补问题中ERM-NCP函数的SC~1性
6.
Schur-Convexity of Two Complementary Symmetric Functions
一对互补对称函数的Schur凸性
7.
A New Class of Smoothing Functions for Nonlinear Complementarity Problems
非线性互补问题的一类光滑逼近函数
8.
A Differential Equation Approach, Based on the Space Transformation of Exponential Function, to Complementary Problems;
指数函数空间变换的互补问题的微分方程方法
9.
Smoothing Quasi-Newton for P_0 Function Nonlinear Complementarity Problem;
P_0函数非线性互补问题的光滑化拟牛顿法
10.
A Class of Merit Function and Its Related Properties for Symmetric Cone Complementarity Problems
对称锥互补问题的一类价值函数及其性质
11.
An Aggregate-Function-Based Self-adjusting Interior Point Algorithm for Solving Linear Complementarity Problems
基于凝聚函数的互补问题的自调节内点算法
12.
An Aggregate-Function-Based Smoothing Algorithm for Solving Linear Complementarity Problems
基于凝聚函数的互补问题的光滑化算法
13.
A Differential Equation Approach, Based on the Space Transformation of Square Function, to Complementarity Problems;
基于平方函数空间变换的互补问题的微分方程方法
14.
Government Expenditure and Resident Consumption:Substitution or Mutual-complement--An Empirical Research Based on Nonlinear Effective-Consumption Function;
政府支出与居民消费:替代或互补——基于非线性有效消费函数的实证
15.
Based on the optimality conditions and complementarity conditions for SOCP, a new merit function is defined in the algorithm.
基于二次锥规划的最优性条件和互补条件，定义了一个新的价值函数。
16.
On A Problem of Smarandache Square Complementary Function
关于Smarandache平方补数函数的一个问题
17.
A Note on the Xufficient Condition of Binary Function s Extremum;
二元函数极值的充分条件的一点补充
18.
Note on Quasi-Weak Convergence inC(A,B);
C[a,b]中凸函数拟弱收敛性的补充