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多函数的英文

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"多函数"怎么读用"多函数"造句

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  • polygamma function

例句与用法

  • A simple decision method on binary function ' s conditional extremum
    不定性求多函数极值
  • For this reason , excessive function calls in a loop are generally a bad idea
    由于这个原因,在一个循环中使用太多函数调用不是个好主意。
  • According to the forms of minimax theorems , minimax theorems may be devided into minimax theorems for a function , minimax theorems for two or more functions , minimax theorems endowed with differential structure , etc .
    根据极大极小定理的形式,极大极小定理可以分为单函数极大极小定理,双函数或多函数极大极小定理,赋予微分结构的极大极小定理等等。
  • ( 2 ) in the study of multivariate phenomena , each time variable should possess its own scaling parameter in order to allow maximal flexibility in time - frequency . the notion of multifrequency multifunction wavelets , to be introduced , is based on this point of view . multifrequency wavelets , via directional multiresolution analysis , generated by a single function is extended to multifrequency multifunction wavelets generated by a finite number of functions
    ( 2 )在研究多变量问题时,为了使时频分析具有最大的灵活性,要求每个时间变量都有它自己的尺度参数,鉴于此,本文从尺度函数构成正交基或riesz基出发,把一维多函数小波推广到二维多频率多函数小波,解决了构造正交或双正交多频率多函数小波所需要的理论依据。
  • It comes up with a new notion , d - solution , which is applied to the distance estimation , by virtue of hilbert space ; furthermore , the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes , so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and , the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ) , a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise , those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan
    首先,借助hilbert空间理论,提出了距离估计的d -解,给出了d -解的必要条件,这个条件在线性函数类里即是极小二乘估计法, d -解的必要条件满足的方程实质上将极小二乘估计法推广到多函数及非线性函数类。再而,详细地研究了多元弱平稳序列自回归模型ar ( p )的参数经典的矩的替代估计和极大似然估计,获得矩的替代估计的一致性的结果。对基于gauss白噪声假设多元弱平稳序列自回归模型的均值、白噪声的协方差阵的极大似然估计都有依分布收敛到多元正态分布的统计性质。
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