然后，利用光滑化方法求解这两个问题。
第三章主要用光滑化方法求解二阶锥约束变分不等式。
The third chapter mainly deals with the smooth method for second-order cone constrained variational inequality problems.
方法应用中心路径的性质及NCP函数，构造了求解半定规划的光滑化方法。
Methods Exploiting some characterizations of the central path and the NCP function, a smoothing-type method for the solution of semidefinite programs are derived.
分别采用光滑化函数法和求解lc1函数类型方法对牛顿型算法进行研究求解。
In this paper, a special support vector regression machine algorithm is proposed, within which smoothing function and method to solve LC1 type functions are combined to solve Newton-type algorithm.
有限的数值算例表明该方法比现有的对数光滑化算法能在更短的时间内找到高质量的解。
Limited numerical results indicate that this approach is able to produce good-quality solutions in much less time than the existing logarithmic smoothing algorithm.
基于对该领域部分现有方法的初步了解，本文第一章简单介绍了网格生成技术、后处理技术和网格光滑化算法的现状。
Based on the investigation of some current algorithms, the first chapter introduces some basic knowledge and current status on mesh generation, post-processing methods, and mesh smoothing.
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。
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.
研究了用束方法求解非光滑逐点最大凸函数的极小化问题。
In this paper, a bundle method for the minimization of the convex nonsmooth function in point by point maximum is suggested.
研究了用束方法求解非光滑逐点最大凸函数的极小化问题。
In this paper, a bundle method for the minimization of the convex nonsmooth function in point by point maximum is suggested.
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