In this paper, penalty parameter for linearly constrained 0-1 quadratic programming is improved.
本文改进了带线性约束0 - 1二次规划问题的罚参数下界。
This paper proposes a trust-region-type succesive linear algorithm with self-adjusted penalty parameter for nonlinear constrained optimization.
对于非线性约束最优化，提出了一个自动调节罚因子的信赖域类型的逐次线性算法。
To avoid reduction of critical time step size due to the penalty parameter for contact force calculation, a local density factor is introduced.
为避免用于计算接触力的罚函数法中的罚因子影响显式仿真算法的稳定性 ，采用了局部质量密度因子来抵消罚因子的负面影响。
This paper researches the parameters (kernel, penalty parameter c) of SVM and the dimension of feature, which influence aerial image segmentation and classification.
研究了支持向量机参数(核函数、惩罚因子c)和影像特征维数对航空影像分割与分类的影响。
First, the penalty finite element balance equation for quasi-static problem is obtained by the application of Galerkin weighted residual method and the introduction of penalty parameter.
首先，采用伽辽金加权余量法推导有限元平衡方程，利用罚方法得到求解拟静态问题的罚有限元公式。
Detailed convergence results for the dual algorithm are given and it is proved that there exists a threshold, and the algorithm will converge if the penalty parameter is less than the threshold.
对这一算法给出了精细的收敛性结果，证明了存在罚参数的一个阈值，当罚参数小于这个阈值时，算法收敛。
The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.
核函数参数和误差惩罚因子的选择对支持向量机模型（SVM）的精度有较大影响。
Based on the degree of membership and the degree of non-membership, this paper focuses on the construction of incentive-penalty interval-valued intuitionistic fuzzy sets with varying parameter.
从已知隶属度和非隶属度出发，重点分析了激励惩罚型变参数区间值直觉模糊集的构造。
The method of parameter-free penalty function is discussed and used here to solve the constrained optimal control problem; Finally an example is cited in illustration of the theory…
构造了一种无参数罚函数，并用这种无参数罚函数方法求解约束最优控制问题，最后举例以说明．。
The method of parameter-free penalty function is discussed and used here to solve the constrained optimal control problem; Finally an example is cited in illustration of the theory…
构造了一种无参数罚函数，并用这种无参数罚函数方法求解约束最优控制问题，最后举例以说明．。
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