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regularly convex function相关的网络例句

查询词典 regularly convex function

与 regularly convex function 相关的网络例句 [注:此内容来源于网络,仅供参考]

Strong pseudoconvex function is one of the important convex functions.

强伪凸函数是凸函数的重要推广函数之一。

Based on structuring a quotient space,consisting of pairs of convex compact sets,this paper discusses the uniqueness of quasidifferential of quasidifferentiable function.

本文在构造凸紧集对商空间的基础上,讨论了拟可微函数拟微分的唯一性,指出拟微分的表示可以不唯一。

Using separation theorem of convex set and the time terminal value function equation,we obtain the determining method of optimal terminal time as well as the Maximum principle.

由凸集分离定理及终端时间阈值函数方程,我们获得了最大值原理及最优控制时间的确定方法。

If the energy function of network is convex, the network will have only one global stable point.

如果网络的能量函数为凸函数,则网络将仅有惟一一个全局稳定点。

Consequently, when applied to minimize a strictly convex quadratic function, the proposed methods terminate at the solution of the problem finitely.

因此,当目标函数是严格凸的二次函数,且采用精确线性搜索时,这些修正的共轭梯度法具有共轭性和二次终止性。

The cost functions of the linear transversal and decision-feedback blind equalizers are proposed in this thesis, which are strictly convex function with respect to the complex tap-weight vector of the equalizer and the error probability. It is proved that their global convergence are guaranteed by using gradient algorithm.

本文提出了线性横向结构的盲均衡价值函数,DF结构的盲均衡价值函数,证明了这两种价值函数对均横器抽头矢量和系统误差概率,都是严格U函数;并且证明了用梯度算法,这两种价值函数保证收敛到全局极小点。

An example of these maximal monotone operators is the subdifferential of a closed convex function.

这种多值极大单调算子的一个特殊例子是闭凸函数的下微分算子,所以本文考虑的多值随机微分方程包含了在凸区域内具有反射边界的随机微分方程。

Based on nonsmooth analysis theory, the viability criterion is verified under the condition that the set-valued mapping in the right hand side is a polytope and the boundary function of the region is subdifferentiable and its subdifferential is a convex hull of finitely many points.

当右端集值映射为多面体,边界为次可微函数,且次微分为有限点集凸包时,基于非光滑分析理论,给出了在一点处检验生存性条件是否成立的方法。

Stochastic convex programming; Monte Carlo methods; Financial optimization; Convergence with probability one; Optimality condition; Monte Carlo penalty function methods; Nonsmooth optimization; Directional derivative; Subdifferential; Confident interval; Conditional Value-at-Risk; Optimal reinsurance

基础科学,数学,运筹学随机凸规划; Monte Carlo方法;金融优化;以概率1收敛;最优性条件; Monte Carlo罚函数法;非光滑优化;方向导数;次微分;置信区间;条件风险价值;最优再保险

In this paper, an unconstraint, continuous, twice-differentiable and strictly convex optimization is obtained by utilizing the Huber function to remove the l_1 -norm in the objective of the primal one, which is called the y- approximation of the original primal optimization.

在此基础上,提出一种能够直接在原始空间中求解支持向量机的近似最优解的快速学习算法,并对算法的收敛性、复杂度以及解的性质进行了分析。4。

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