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compactification theorem相关的网络例句

查询词典 compactification theorem

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

On the basis of Muskhelishvili's complex function theory, an auxiliary field of mixedmode crack was accomplished, and then using Betti's reciprocal work theorem, a path independent contour integral method for stress intensity factors of mixed-mode crack was obtained.

本文用复变函数理论推导出裂纹的辅助场,并用Betti功互等定理给出求解混合型裂纹应力强度因子的远场围绕积分法。

The first part is the preparatory knowledge, introducing the contracting mapping principle which through the basis of vector and matrix norm, derivative and differential theorem of mean to thorough understanding the nature of soluble for nonlinear equations.

第一部分为预备知识,重点介绍压缩映象原理。通过引入向量与矩阵范数,导数与微分中值定理,以求深入理解非线性方程组可解性的基本理论。

Also, by using exponential dichotomy, contraction map theorem and matrix theory, some sufficient conditions are obtained to ensure the existence and global exponential stability of almost periodic solution for MAM neural network with distributed delays.

利用矩阵的谱半径、指数二分法结合运用压缩映射原理获得了分布时滞多向联想记忆神经网络模型概周期解的存在性,并在相同条件下证明了概周期解的全局指数稳定性。

This paper proves that every probabilistic contraction map from E to E has a unique fixed point, where E is a complete and uniformly local semi-convex probabilistic normed spacer and obtains a fixed point theorem in metric linear spaces.

摘要证明了完备的一致局部半凸概率赋范空间上的概率压缩映象必有唯一不动点,得到了一类度量线性空间中关于伪范数族一致压缩映象的不动点定理。

A sufficient condition is obtained to ensure the existence and uniqueness of almost periodic solution for MAM neural network with time-varying delays by way of exponential dichotomy and contraction map theorem. Moreover, the global exponential stability of the almost periodic solution for this type of MAM neural network is proved by using Halanay inequality.

利用指数二分法结合运用压缩映射原理获得了变时滞多向联想记忆神经网络模型概周期解的唯一存在性,利用Halanay不等式证明了变时滞多向联想记忆神经网络概周期解的全局指数稳定性。

In this paper,present the basic theorem and application of safety control theory.

介绍了安全控制论的基本理论和应用。

The radius of convergence can be characterized by the following theorem

收敛半径可以被如下定理刻画

In this Chapter, we establish convergence theorem by using the recurrence relations.

在这一章中,我们是用递归法给出了迭代法的收敛理论。

To ensure stability of the NNA, the convergence theorem of the NNA is presented and proved.

为保证该算法的稳定性,提出并证明了该算法的收敛定理。

Moreover, we present a convergence theorem of the augmented Lagrangian method for the nonlinear programming problem.

然后,给出了非线性规划问题的一个增广Lagrange算法的收敛性分析。

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