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convergence相关的网络例句

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

This includes function of uniform convergence, function series and the uniform convergence of parameter improper integral. We uniform convergence.

这包括函数列的一致收敛,函数项级数的一致收敛以及含参量反常积分的一致收敛。

By means of traditional criterions of generalized integral's convergence and divergence, this paper, from the analysis of integrated function's nature, discovers a series of new criterions, which are briefer and more suitable: on the aspect of generalized integral for functions of a single variable, through the investigation of integrated function, together with the inner relationship between positive series and generalized integral in infinite interval under the condition of positive function, it gives several criterions of generalized integral's convergence and divergence, which are similar to positive series' criterions of convergence and divergence.

本文从分析被积函数本身所具的性质出发,借助传统的广义积分敛散性判别方法,发现1系列更简捷适用的新判别方法:单变量函数广义积分方面,通过考察被积函数,结合正项级数与正函数情形下无穷区间上广义积分的内在联系,给出了几个与正项级数敛散性判别法相类似的广义积分敛散性判别方法;多变量函数广义积分方面,着重讨论了广义2重积分和广义3重积分,结合被积函数的特点,运用比较判别法和柯西判别法,本文给出了判别广义2重积分收敛的1种新方法。

At the beginning of this paper, we briefly introduced the fundamental knowledge of the Newton iterative methods , and the local convergence theorem which extended the classical Newton method, because of the local convergence, the theorem had its certain restrict. Large-scale convergence theorem was proved under the condition that matrix M is irreducible diagonally dominant by Newton's method with line search.At the last part of this paper, we present the method for solving linear complementarity problems arising from journal bearings.

本文首先介绍了Newton型迭代法的基础知识,然后着重介绍了B-可微方程的Newton法,给出B-可微法的局部收敛结论,推广了古典的Newton法,但由于收敛的局部性,该算法仍有一定的不足之处;文章在证明大范围收敛定理时,假设M是不可约对角优势矩阵,采用一维Newton寻查的方法,保证算法的收敛性。

Limit theorems for the integration of function sequence with respect to weak convergence probability measure sequence are proved under the condition of the weak tight, which have been used to research the some convergence of expectant functional sequence,and a sufficient condition for the epi-convergence of expectant functional sequence is obtained.

提出了弱胎紧的概念,并在弱胎紧的条件下证明了函数序列关于弱收敛概率测度序列积分的极限定理,用其研究了期望泛函序列的若干收敛性,得到了期望泛函序列的、上图收敛的一个充分条件。

For the linear problem, the linearity of the problem is also well preserved in the merit functions. The global convergence, local superlinear or quadratic convergence and finite convergence for linear problems of the proposed algorithms are also obtained under conditions as above or even weaker.

基此构造的互补和混合互补问题的算法,均具备在前述条件或比其更弱条件下的全局收敛性、局部超线性或二次收敛率以及在线性情形下的有限步收敛性。

Experiment in this paper validates the convergence of the improved Mean Shift algorithm, contrast convergence rate of improved Mean Shift algorithm with convergence rate of traditional Mean Shift algorithm.

本文的实验也进一步验证了改进的Mean Shift算法的收敛性,并对比了改进前后的Mean Shift算法的收敛速度。

In this paper, the imprecise proofs existing in some literatures are firstly pointed out. Then, the local convergence is proved in a new way and the condition of convergence to the local maximum point is offered. Finally, the geometrical counterexamples are provided for explanation about convergence of Mean Shift and the conclusion is further discussed.

首先指出了Comaniciu和李乡儒的证明过程存在错误;然后,从数学上重新证明了Mean Shift算法的局部收敛性,并指出其收敛到局部极大值的条件;最后,从几何上举反例分析了Mean Shift的收敛性,并进行了深入比较和讨论。

Missirlis in article [1]. At the same time, a sufficient condition for convergence of the PSD method is given to be compared when the coefficient matrix A of the linear system Ax = b is a symmetric, positively defective matrix. In §3.2, an example is given to state that the range of our sufficient condition is wider than theorem 3.3 of article [1]. On the other hand, following a.n analogous approach of [14] and starting the functional relationshipwe have a perfect analysis for the PSD method to converge and optimum valves for the involved parameters under different conditions.Under the assumptions that A is a consistent ordered matrix with nonvanishing diagonal elements and the eigenvalues of the Jacobi matrix of A are real,we get necessary and sufficient conditions for the PSD method to convergence.The result is equal to theorem 1 of article [9].Under the same condition, we can see the optimal parameter and of corresponding spectral radius of thePSD method in [8]:(2)When A is a consistent ordered matrix with nonvanishing diagonal elements and the eigenvalues of the Jacobi matrix of A are imaginary or zero,we get necessary and sufficient conditions for the PSD method to convergence.In chapter 3, the optimal parameter and of corresponding spectral radius of the PSD method are given by table 3.3. Moreover, under the assumption 0

Missirlis在文献[1]中定理3.3的不准确,同时给出了当线性方程组Ax=b的系数矩阵A为对称正定阵时,PSD迭代法收敛的一个充分条件与之比较,并且在§2.3中用实例说明了对于一部分矩阵而言本文得到的充分条件广于[1]中定理3.3的充分条件;另一方面,按照文献[14]的方法,我们从PSD迭代法的特征值λ与其Jacobi迭代矩阵B的特征值μ的关系式:出发,在不同条件下对PSD迭代法的收敛性和最优参数以及最优谱半径进行了完整的分析:(1)在系数矩阵A为(1,1)相容次序矩阵且对角元全不为零,其Jacobi迭代矩阵B的特征值全为实数的条件下,给出了PSD迭代法收敛的充分必要条件,此结果与[9]中的定理1等价,此时最优参数及最优谱半径由[8]得:(2)第三章表3.3中给出了,当系数矩阵A为(1,1)相容次序矩阵且对角元全不为零,其Jacobi迭代矩阵B的特征值全为纯虚数或零时的PSD迭代法的收敛范围和最优参数,并且我们可以得到当0

As for the optimization problem, the damped Gauss-Newton Method algorithm is employed for obtaining its solution, and analysis the global convergence of the algorithm, also, the superlinear convergence rate and two order convergence rate of the algorithm is given.

对该优化问题,我们用阻尼高斯牛顿算法求解,并对算法的全局收敛性和超线性收敛速度进行了分析。

The algorithm has following properties: Although the merit function has the form of least squares of a system of overdetermined equations, in the Newton equation of our algorithm, only the coefficient matrix of the system of overdetermined equations is used instead of its product as in Guass-Newton method for solving the least squares problems. That is, our Newton method is more like that for the system of nonlinear equations rather than that for LSPs. The global convergence is obtained for VLCP with vertical block P_0 + R_0 matrix; The local quadratic convergence rate is proved under the condition that the solution is BD-regular; Although there is only a Newton equation in our algorithm, the finite convergence property can be shown if matrix is vertical block P— matrix (without the hypotheses of strict complementarity).

该算法具有下列特点:所构造的价值函数虽然具有超定方程组的最小二乘问题的形式,但在基此建立的Newton算法中,其Newton方程的形式更象非线性方程组的Newton法中的Newton方程,仅利用了超定方程组的系数矩阵本身的信息,避免了一般最小二乘问题的Guass-Newton法中必须计算系数矩阵的乘积的工作量;对竖块P_0+R_0矩阵的垂直线性互补问题,算法具有全局收敛性;在解是BD-正则条件下,证明了算法的局部二次收敛性;虽然算法只含一个Newton方程,但对竖块P-矩阵垂直线性互补问题,算法具有有限步收敛性。

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