在一般可行集下，结合非光滑方程组解法及投影映射的性质，讨论了法方程求解变分不等式问题的算法构成。
Under general feasible set, in consideration of the algorithms for nonsmooth equations and the properties of projection map, the algorithms using the normal equation to solve are discussed.
本文提供了在没有非奇异假设的条件下，求解有界约束半光滑方程组的投影信赖域算法。
In this paper, we propose a projected trust-region algorithm for solving bound-constrained smooth systems of equations.
利用凝聚函数一致逼近非光滑极大值函数的性质，将非线性互补问题转化为参数化光滑方程组。
By using a smooth aggregate function to approximate the non-smooth max-type function, nonlinear complementarity problem can be treated as a family of parameterized smooth equations.
带不等式约束的非线性规划，其KKT条件可以通过NCP函数转化为一个非光滑的方程组，然后用熵光滑化函数光滑化，得到一个带参数的方程组。
The KKT conditions of a nonlinear programming with linear inequality constrains can be transformed into a system of equations by NCP function. Then it is smoothed by Entropy smoothing function.
带不等式约束的非线性规划，其KKT条件可以通过NCP函数转化为一个非光滑的方程组，然后用熵光滑化函数光滑化，得到一个带参数的方程组。
The KKT conditions of a nonlinear programming with linear inequality constrains can be transformed into a system of equations by NCP function. Then it is smoothed by Entropy smoothing function.
应用推荐