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newton formula相关的网络例句

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

First of all, Newton-Cotes integral formula is used to calculate the special solution of nonhomogeneous equation in Duhamel integral form for linear system.

首先对于线性问题,利用等步长的Newton-Cotes积分公式计算非齐次方程Duhamel积分形式的特解。

In Chapter 4, using Newton series, we obtain a divided differences formula of composite functions, and give a matrix equivalent form of these composite functions. Moreover, we derive a divided differences for the reciprocal series.

第四章利用形式Newton级数得到了复合函数的差商公式,并给出复合函数的一个矩阵等价形式,从而得到一个反级数的差商公式。

Under the one-dimensional situation, it introduces mainly the Newton-Cotes formula, the Gaussian quadrature formula, the numerical integration rule of sharp oscillatory function, the numerical integration rule by the methods of sampling and so on.

在一维情形下,主要介绍了Newton-Cotes公式,Gauss型求积法则,急速振荡函数的数值积分法则,抽样法求数值积分的法则等。

According to our teaching practice,effective applications of some relative calculus background knowledge in teaching are given,such as introduction of real number ,Newton-Leibniz s formula,principle of integrability,meaning of infinite series.

结合教学实践,讨论了实数的引入,Newton-Leibniz公式,无穷级数,函数的可积性准则这几个相关的微积分背景知识在教学中的有效运用。

through researching the formula on Newton interpolation of equally spaced nodes, especially through estimating and computing the remainder, we can draw a conclusion that the precision of the interpolation point selected in the middle is higher than near the end, the value of t also should be magnified to , and giving a new estimating formula on remainder which is easy to compute.

通过研究等距节点的Newton插值公式,尤其通过估计和计算其余项,得出了插值点选在中间时精度要优于选在端点附近的结论,t值也可放大为,并给出易于计算的新的余项估计式。

This book reviews the many areas of numerical analysis, including the configuration polynomial, finite difference, factorial polynomials, summation, Newton formula, operator and configuration polynomial, Cheung section, close polynomials, TaylM more item type, interpolation, numerical differentiation, numerical integration, and with the series, differential equations, differential equations, least squares polynomial approximation, minimax polynomial approximation, rational function approximation, triangular approximation, non-linear algebra, linear equations, linear programming, boundary value problems, MonteCarIo methods and so on.

本书综述了数值分析领域的诸多内容,包括配置多项式、有限差分、阶乘多项式、求和法、Newton公式、算子与配置多项式、祥条、密切多项式、TaylM多项式、插值、数值微分、数值积分、和与级数、差分方程、微分方程、最小二乘多项式逼近、极小化极大多项式逼近、有理函数逼近、三角逼近、非线性代数、线性方程组、线性规划、边值问题、MonteCarIo方法等内容。本书的特色主要表现在利用例题及大量详细的题解来透彻地阐明所述内容的内涵,同时附有大量的补充题以便读者进一步巩固和深化从书中获得的数值分析知识。

An equivalent transformation is made for the original system by the Leibniz Newton formula. By applying Lyapunov stability theory and associating with Moon's inequality, the delay dependent robust stability condition for the Markov jumping neural networks is established.

利用Leibniz-Newton公式对原系统进行等价变换,基于Lyapunov稳定性理论,并结合Moon不等式得到了此类Markov跳变神经网络时滞相关均方鲁棒稳定性的判别条件。

Tne paper systemically discusses the object-image relations in the thin-lens imasery with Newton Formula and the relative graphs,and new and deeper theoretical otplanations are given. Thin-lens imasery Newton Formula,graph velation

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By means of singular model transformation technique, special Lyapunov-Krasovskii functional approach, similar Leibniz-Newton formula and linear matrix inequality concept, some new stability conditions are derived for above systems.

应用奇异模型转换技巧、特殊型Lyapunov-Krasovskii泛函数方法、相似型Leibniz-Newton公式、线性矩阵不等式观念针对上述类神经网路系统,提出新稳定测试准则。

Tne paper systemically discusses the object-image relations in the thin-lens imasery with Newton Formula and the relative graphs,and new and deeper theoretical otplanations are given. Thin-lens imasery Newton Formula,graph velation

哪位大哥大姐有伦&伯透镜天线&的相关资料,麻烦共享一下-天线基础│动态│交流-天线工程┃设计-微波技术网欢迎您┃理论┃实践┃工程┃设计┃应用┃交流┃分享┃免费┃大学生社区┃工程师家园┃微波社区门户- Powered by Discuz!

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