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a posteriori相关的网络例句

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

This algorithm does not need either a priori knowledge or a posteriori probability, and has convergence with excellent stability.

此算法无须先验知识或后验概率,具有良好的稳定收敛性。

Knowledge we gain from experience is a posteriori, and what we can know independent of experience is a priori.

我们获得的知识是从经验事后,和我们所能知道的经验,是独立的先验。

Knowledge of this kind is called a priori , in contradistinction to empirical knowledge, which has its sources a posteriori , that is, in experience.

我们称这种知识为"先验"。与之相对应的概念是"经验知识"——后验

The main contents include: Some preliminary theory (introduction to Sobolev spaces and variational formulations for differential equations); finite element methods for one-dimensional elliptic problems; the construction methods for general finite elements; error estimates for interpolation operators and inverse inequalities for finite element spaces; a priori and a posteriori error estimates for the finite element method for high-dimensional elliptic problems; some typical spectral methods for partial differential equations; error analysis for the spectral approximation for some linear and nonlinear partial differential equations.

主要内容有:准备知识(Sobolev空间的基本概念和主要结果,微分方程的变分描述);一维椭圆型方程有限元方法;一般有限元的构造;插值算子误差估计和逆不等式;高维椭圆型方程的先验、后验误差估计;求解偏微分方程的几类谱方法;线性与非线性问题谱逼近的误差分析等。

The choices of mollification parameter for a priori and a posteriori are discussed respectively.

同时,作者给出的数值计算方面的例子也显示了这一方法的效力。

The implicit iterative method was applied to the linearized Newton equation, and the key step in the process was that a new reasonable a posteriori stopping rule for the inner iteration was presented.

对线性化后的Newton方程用隐式迭代法求解,关键的一步是引入了一种新的更合理的确定迭代步数的后验准则。

Now the statement,"H2O = the waterish stuff" is a contingent a posteriori truth.

3现在,陈述&H2O =这些水性材料&是偶然的后天真。

Under some suitable conditions, a priori estimate and a posteriori one are given.

在适当的条件下,得出该算法的先验与后验误差估计。

Then a posteriori robust Kalman filter is proposed, which can guarantee a variance bound of the filtering error.

该算法为一离散验后滤波算法,它能保证区间系统的滤波误差有界。

Such knowledge is entitled a priori, and distinguished from the P 043 empirical, which has its sources a posteriori, that is, in experience.

这样的知识称为&验前的&,而且有别于经验性的知识,经验性的知识是起自验后的,即在经验中有其起源的。

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