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inexact相关的网络例句

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For the original infinite dimensional problem, if the inexact quasi-newton method with Broyden updating can not converge quickly , for example, it can not attain super linear convergence rate , then when the discretization is becoming finer and finer , we can not get fast convergence rate for the corresponding finite dimensional problem.

对于原来的无限维问题,如果使用不精确Broyden方法不能得到较快的收敛速度,比如超线性收敛性,那么当离散化逐渐加细的时候,对于所得的有限维问题使用不精确Broyden方法也不可能得到较快的收敛速度,所以有必要在无穷维空间上对收敛性问题加以分析,从而为不精确拟牛顿法结合投影法求解算子方程做好准备。

In chapter 3 constructs firstlya new differential merit function by a perturbation structure of VIP and study theproperties of this merit function.Based on this merit function,a continuation-typeNewton method is proposed,which use the technique of inexact linear search forassuring its global convergence,and improves essentially the method of Taji,Fukushima and Ibaraki which can only solve the strong monotone VIP,and has locallyquadratic convergent rate under some condition.

第三章利用变分不等式问题的一种扰动结构构造了新的可微效用函数,并研究了效用函数的性质;在此基础上,给出了一类求解一般单调变分不等式问题的连续型Newton方法CN,方法采用了不精确的线性搜索技术以确保整体收敛性,从本质上改进了Taji、Fukushima和Ibaraki方法只能求解强单调变分不等式问题的局限性,同时又保持了局部二次收敛率。

The global convergence under a new inexact linear search and without descent condition has been proved.

在新的非精确线性搜索下,不需给定下降条件,证明了算法具有全局收敛性。

And a class of algorithms is proposed by solving the parameter program to solve the original inexact fractional program.

在一定的假设下,该簇算法的收敛速度至少是线性的。

If the roundoff is not 0, the representation is inexact , and V is inexactly representable in the type T .

如果舍入不是0,则表示是不精确的, V 在类型 T 中不能精确表示。

On the relative to Tang-Daqu and today's musical forms, the paper discussed the Tang-Daqu's development stream from a macroscopical high point, then finger out the former researchers' tendency is inexact, for example, the comparing point is unilateralism, the literature is illth, forejudged in their study process , etc.

在针对唐大曲与现存乐种之间的关系问题上,力图站在一个宏观的角度,从唐大曲的流向上来进行探讨。

On the other hand, since it is often impossible to solve the sub-problem exactly, the inexact algorithms were studied by many researchers. In our algorithm, the sub-problems were solved inexactly.

一般的邻近点算法只能求解算子在其定义域内的零点,而在实际问题中,往往要求解算子在给定区域内的零点。

We discuss a kind of splitting method if the commuting is inexactly. Further, we give a new algorithm in the inexact case to relax the accuracy criterion.

我们对近似点作一个简单的附加处理,给出了一个改进的投影松弛邻近点算法,它只要求强制序列的上界小于1,极大地放宽了近似准则。

With the guide of non-linear program theory, by using interpolative steps and inexact line search, an improved conjugate gradient method was found, by which the training rate of BP networks increases by tens or hundreds of times. Moreover, the improved method is effective to solve non-linear equations for which Newton's method does not converge owing to the problems of the quadratic derivative and inverse matrix.

通过大量的数值模拟试验发现,在非线性规划理论的指导下采用间插步骤和不精确的一维搜索技术改进的共轭梯度法,是基于梯度和共轭方向的连续搜索算法中最有效的算法,这种算法使BP网络的训练速度提高几十到几百倍,使BP网络的实际应用效果大为改善;而且这种算法对于用牛顿法由于求二阶导数和求逆矩阵等问题难于收敛的非线性方程组的求解也是很有效的。

In this paper, a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed, and the global convergence of this method with inexact line search is proved.

本文导出了一类无记忆非拟 Newton 公式,并证明了采用非精确线搜索的无记忆非拟 Newton算法的全局收敛性。

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