可和函数

词组短语

summable function

与可和函数相关的网络例句 [注：此内容来源于网络，仅供参考]

It is proved that the least squareestimators of linear estimable functions of regression coefficients areadmissible under matrix loss and minimax. The necessary and sufficientexistence conditions are derived for the uniformly minimum riskequivariant estimators of linear estimable functions ofregression coefficients under an affine group and a transitive group oftransformations respectively. It is also proved that there are no UMREestimators ofthe covariance matrix and variance under an affine groupof transformations and quadratic loss functions.

本文证明了回归系数的线性可估函数的最小二乘估计是极小极大的且在矩阵损失函数下是可容许的；还分别在仿射变换群和平移群下导出了存在回归系数的线性可估函数的一致最小风险同变估计的充要条件，并证明了在仿射变换和二次损失下不存在协方差阵和方差的 UMRE 估计。

Iii By using the well-known properties of the dela vallee-poussin summability kernels and the pass principle of weakly compact operator, we study the weak compactness of C〓 on vector-valued analytic function spaces H〓, B〓, N and N〓, establish some connections between the weak compactness of composition operators and the structure properties of Banach spaces. These generalize and unify the corresponding results in the scalar-valued setting and enrich the content of the study of composition operator in another way.

第三，利用著名的de la Vallee-poussin可和核及有关算子的弱紧性的传递原理给出了向量值解析函数空间H〓、B〓、N及N〓上的复合算子的弱紧性的刻画，建立了复合算子的弱紧性与Banach空间的结构性质之间的联系，统一和推广了对应的数量值解析函数空间上的复合算子的弱紧性，这从另一种途径极大地丰富了复合算子的研究内容。

Just as λ-calcu-lus allows you to construct and reason about every possible computable function, there were high hopes that π-calculus would play similar role for concurrency.

本文提出了一个方法，据此可以把自然数和函数描述为进程，从而证明了π演算有足够的能力描述所有的可计算函数，同时还说明了与λ演算相比，π演算有着更高的计算效率。

Based on the viewpoint of set and denseness,this paper discusses some characteristics of the of continuity set and differentiable function set,and the structure of differentiable function sets,and demonstrates that there does not exist a continuous functional sequence {fn} which is convergent to Dirichlet function.

从集合观点和稠密性出发，讨论了连续函数和可导点集的一些特性及可导函数点集的构造，并证明了R上不存在收敛于Dirichlet函数的连续函数列{fn

Properties of measurable functions; approximation by simple functions and by continuous functions; convergence in measure; Egoroff's theorem; Lusin's theorem; Jensen's inequality.

可测函数。可测函数的性质；简单和连续函数逼近；测度收敛；叶果洛夫定理；鲁津定理；詹森不等式

And it makes a detailed and brief exposition, and offers some extremely targeted examples of the application, in order to understand the integrability conditions and enhance the understanding and application capability.

文章最后专门讨论了复合函数的黎曼可积性和可积函数列的逐项积分，得出了如何根据特定条件来判断一个复合函数可积性的定理和判定一个函数列可逐项积分的一个充分条件，并将其推广，得到一个更弱的充分条件。

With four continuity of non-additive set function and the relation of four convergences of the measurable function sequence,four forms Lebesgue theorem about measurable closed-valued functions on monotone measure space are discussed,respectively.

在经典测度论中，Lebesgue定理刻画了实值可测函数序列几乎处处收敛和依测度收敛之间的关系。1984~1986年，王震源[9]先后提出了较弱的"自连续"、"零可加"、"伪自连续"、"伪零可加"等重要概念，讨论了模糊测度空间上单值可测函数序列各种收敛之间的关系，推广了经典测度论中著名的Lebesgue定理以及其他定理。

We prove the convergence theoremof the sequence of fuzzy complex measurable functions.

作为经典复测度的推广，引进模糊复测度和模糊复可测函数等概念，讨论了其性质，证明了模糊复可测函数序列的收敛定理。

In this package, the operations and functions of vector, matrix and pronumber are implemented by object-oriented programming technique, so that the gradient and Hessian of objective function can be calculated automatically and up to the machine precision of computers, and it provides the basis for accurate and effective optimization.

用面向对象技术实现了向量、矩阵和延拓数的相关运算和函数，使得目标函数的梯度和赫斯矩阵可以自动地求出，并且可达机器精度，为准确而有效的优化算法提供了基础。

However, to construct a tensor product orthonomal wavelet basis in L〓, 2〓-1 different functions are used. Furthermore, it is concluded that the family, obtained by dilations and translations from this radial wavelet as well as their linear combinations, can constitute an orthonomal basis in L〓. The conclusion is a major breakthrough in multidimensional wavelet analysis.

从而得到：由一个径向小波的伸缩、平移系及其线性组合可以构成n维平方可积函数空间L〓的规范正交基，这个结果将当前利用张量积方法构造n维正交小波基所需要的2〓-1个不同的函数降为仅需要一个径向小波函数，这在理论上是一个重大突破；构造了同时具备局部支撑和无穷次连续可微性质的高维不可分小波的例子，这是不同于I。

与可和函数相关的网络解释 [注：此内容来源于网络，仅供参考]

function generator：函数信号发生器

函数信号发生器 生器( Generator) 5.2 函数信号发生器(Function Generator) 函数信号发生器图标和面板分别如图 5.2.1(a),(b)所示,可产生正弦波,三角波,方波三种电压信号,可调节的参数 有频率(Frequency),占空比(Duty cycle),振幅(Amplitude),

summability：可[求]和性

可[求]和性 summability | 发散级数的可和性理论 summability theory of divergent series | 可和函数;可积函数 summable function

summable function：可和函数

summable 可和的 | summable function 可和函数 | summable series 可和级数

summable function：可和函数;可积函数

发散级数的可和性理论 summability theory of divergent series | 可和函数;可积函数 summable function | 可和级数 summable series

summable series：可和级数

summable function 可和函数 | summable series 可和级数 | summand 被加数

absolutely summable series：绝对可和级数

绝对稳定 absolutely stable | 绝对可和级数 absolutely summable series | 绝对对称函数 absolutely symmetric function

summable：可和的

summability theory of divergent series 发散级数的可和性理论 | summable 可和的 | summable function 可和函数

summable bounded：受限可加

summable 加算可能な | summable bounded 受限可加 | summable function 可和函数,可积函数

absolutely symmetric function：绝对对称函数

绝对可和级数 absolutely summable series | 绝对对称函数 absolutely symmetric function | 绝对不偏估计式 absolutely unbiased estimato

function template：函数模板

在C++语言中,模板可分为类模板(class template)和函数模板(function template). 在程序中说明了一个函数模板后,编译系统发现有一个相应的函数调用时,将根据实参中的类型来确认是否匹配函数模板中对应的形参,然后生成一个重载函数. 该