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weierstrass approximation theorem相关的网络例句

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

The contents of the abstract of the short Communication is:"The paper gives a complete differential partition to a Euclidean straight line with a fixed frame, and three axioms for the integral of infinitesimals indexed by real numbers; proves in standard mathematics there are positive infinitesimals outside of real number set; Gives cosmic, macro and micro counterexamples to two axioms in Jordan, Carathéodory, and Lebesgue measure theory; transforms Weierstrass limit into Huang limit, Cantor continuum into Huang continuum, and Newton-Leibniz formula into Huang formula."

这个短的发言的摘要的内容如下:"此文对一条确定了固定标架的欧几里德直线给出了完整的微分分拆,并对以实数为标号的无穷小的积分给出了三条公理;在标准数学中证明了在实数集合之外存在正的无穷小;对若当,卡拉特欧多里和勒贝格测度论中的两条公理给出了宇观的,宏观的和微观的反例;将外尔斯特拉斯极限改进为黄氏极限,将康托连续统改进为黄氏连续统,和将牛顿-莱布尼茨公式改进为黄氏公式。"

Through Weierstrass circle of students the importance of uniform convergence was made known.

通过威阿斯塔斯周围的学生,人们知道了一致收敛性的重要性。

These rough surfaces have been analyzed by a fractal theory,and a three-dimensional Weierstrass-Mandelbrot function has been used to simulate the topographies of the rough surfaces.

这些参数是基于所测样品大小和仪器测量精度得出的,而分形理论的处处连续不可导及其自相似性则显示出了很好的互补特性[3,4]。

The contents of the abstract of the short Communication is:"The paper gives a complete differential partition to a Euclidean straight line with a fixed frame, and three axioms for the integral of infinitesimals indexed by real numbers; proves in standard mathematics there are positive infinitesimals outside of real number set; Gives cosmic, macro and micro counterexamples to two axioms in Jordan, Carathéodory, and Lebesgue measure theory; transforms Weierstrass limit into Huang limit, Cantor continuum into Huang continuum, and Newton-Leibniz formula into Huang formula."

这个短的发言的摘要的内容如下:&此文对一条确定了固定标架的欧几里德直线给出了完整的微分分拆,并对以实数为标号的无穷小的积分给出了三条公理;在标准数学中证明了在实数集合之外存在正的无穷小;对若当,卡拉特欧多里和勒贝格测度论中的两条公理给出了宇观的,宏观的和微观的反例;将外尔斯特拉斯极限改进为黄氏极限,将康托连续统改进为黄氏连续统,和将牛顿-莱布尼茨公式改进为黄氏公式。&

The new method is a combination of characteristic approximation to handle the convection part, to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion, a smaller time truncation is gained at the same time, and a mixed finite elementspatial approximation to deal with the diffusion part, the sealer unknown and the adjoint vector function are approximated optimally and simultaneously.

此方法即为对方程的对流项沿流体流动的方向即特征方向进行离散,从而保证格式在流动锋线前沿逼近的高稳定性,消除了数值弥散现象,并得到了较小的时间截断误差;另一方面,对方程的扩散项采用混合元离散,可同时高精度逼近未知函数及其伴随向量函数,理论分析表明,此方法是稳定的,具有最优的L~2逼近精度。

The characteristic approximation is used to handle the convection part along the direc-tion of fluid namely characteristic direction to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion; The mixed finite element spatial approximation is employed to deal with diffusion part and approximate the scalar unknown and the adjoint vector function optimally and simultaneously; In order to preserve the integral conservation of the method, we introduce the modified characteristic method.

该方法对方程的对流部分沿流体流动的方向即特征方向离散以保证格式在流动的锋线前沿逼近的高稳定性,消除数值弥散现象;对方程的扩散部分采用最低次混合有限元方法离散、同时以高精度逼近未知函数及未知函数的梯度;为保证方法的整体守恒性,在格式中引入修正项。

Furthermore, the issues of the approximation of credibility function and the convergence of the approximation method are treated.

进一步,本文考虑可信性函数的逼近方法并证明该方法的收敛性。

In approximation theory,the approximation of non-smooth function |x| is a very classical problem.

在逼近论中,非光滑函数|x|的逼近问题是一个非常经典的问题。

The study of direct and inverse theorems on the approximation of linear operators to functions in normed linear spaces is an important subject in the approximation theory. It is significant in theory and application.

线性算子对赋范线性空间中函数逼近正逆定理的研究是逼近论中重要的研究课题之一,在理论和实际应用上都具有重要的意义。

Several strong results on neural network approximation capability obtained in this dissertation are important in the approximation theory and applications of neural networks.

本文系统地研究了多层神经网络的非线性逼近能力,给出了多层网络可一致逼近有限维空间R〓紧集上的连续函数、无穷维函数空间紧集上的连续泛函和连续算子以及布尔函数的理论证明。

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