In chapter 2, the generalized nonlinear complementarity problem (GNCP) defined on a polyhedral cone is reformulated as a system of nonlinear equations.
第二章主要是将求解定义在闭凸多面锥上的广义互补问题(GNCP)转化为一个非线性方程组问题。
In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.
在凸规划理论中，通过KT条件，往往将约束最优化问题归结为一个混合互补问题来求解。
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.
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。
We prove that the solution of a nonlinear complementarity problem is exactly the equilibrium point of differential equation system, and prove the asymptotical stability and global convergence.
在一定的条件下我们证明了非线性互补问题的解是该微分方程系统的平衡点，并且证明了该微分方程系统的稳定性和全局收敛性。
By introducing nonlinear complementarity problem function, the original optimization problem is transferred equivalently to a set of nonlinear equations and solved by semi-smooth Newton method.
针对这一优化问题，通过引入非线性互补问题函数，将原优化问题转化为非线性方程组，并采用半光滑牛顿法进行求解。
The generalized nonlinear complementarity problem is the extension of the classical nonlinear complementarity problem. It is very important and useful in industrial and agricultural production.
广义互补问题是互补问题的推广，它在工农业生产等实际问题中有重要的应用。
This model can be formulated as an equilibrium problem with equilibrium constraints (EPEC) and be solved by a nonlinear complementarity method.
该模型所描述的均衡问题是一个具有均衡约束的均衡问题(EPEC)，可用非线性互补方法求解。
This model can be formulated as an equilibrium problem with equilibrium constraints (EPEC) and be solved by a nonlinear complementarity method.
该模型所描述的均衡问题是一个具有均衡约束的均衡问题(EPEC)，可用非线性互补方法求解。
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