The third chapter mainly deals with the smooth method for second-order cone constrained variational inequality problems.
第三章主要用光滑化方法求解二阶锥约束变分不等式。
In this paper we present a smoothing Newton method for solving ball constrained variational inequalities. Global and superlinear convergence theorems of the proposed method are established.
研究球形约束变分不等式求解的算法，提出一种光滑化牛顿方法，证明了该方法具有全局收敛性和超线性收敛。
Leading evaluation method into design process, the generation strategies of well-constrained VGCN is discussed, and the theories of variational geometric constraints network are established.
并将该评价方法引入设计过程，研究完全约束的变动几何约束网络的生成策略，从而建立了变动几何约束网络理论。
In this paper, We prove the existence of a weak minimum for constrained vector optimization problem by making use of vector variational-like inequality and semi-preinvex functions.
本文通过使用向量似变分不等式和半预不变凸函数来证明约束向量优化的弱极小值的存在性。
In this paper, We prove the existence of a weak minimum for constrained vector optimization problem by making use of vector variational-like inequality and semi-preinvex functions.
本文通过使用向量似变分不等式和半预不变凸函数来证明约束向量优化的弱极小值的存在性。
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