階乘函數 的英文怎麼說

中文拼音 [jiēchénghánshǔ]
階乘函數 英文
factorial function
  • 階 : 名詞1. （臺階） steps; stairs 2. （等級） rank 3. [醫學] （耳蝸的三個螺旋管的任一個） scala 4. [數學] order 5. [地質學] stage
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Factorial jump function

    階乘跳躍函數
  2. Here for example are definitions of the factorial function, and of a number " result " which is the sum of the odd numbers between 1 and 100

    」 。下面提供了定義階乘函數和奇數求和函數的示例，其中「 result 」的數值是1至100中奇數的和：
  3. Unlike the normal two stages estimate method ( the usual nonparametric weighted method combined with the least square estimate ), considering the characteristics of this model, this paper uses the least square estimate combining with the usual nonparametric weighted method and defines the estimators and n2 for the unknown parameter, the unkown fuction g ( ) and the unknown variance of errors 2

    與通常採用的兩階段估計方法即非參數權函數法結合最小二乘法不同，考慮到此模型本身的特性，本文採用最小二乘法結合一般非參數權函數估計方法，定義了未知待估參數和未知函數g （ ? ）及誤差方差~ 2的估計量（ ? ） _ n ， （ ? ） _ n （ ? ）和（
  4. This paper consists of two parts : in the first part, we will discuss the prob - lem of the pth - mean, complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part, we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency. to the nonparametric model y _ ni = g ( x _ ni ) + _ ni, 1 i n, let g _ n ( x ) = w _ ni ( x, w _ n1, … ? xnn ) y _ ni estimate the unknown function g ( x ). to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q, we use lse _ nj to estimate the unknown parametric _ j

    本篇論文主要是由兩大部分內容構成：一是關于誤差是l ~ p ?混合序列的線性回歸模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的p ~ -階平均相合性和完全收斂性問題；另一部分是關于誤差是弱平穩線性過程的線性模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的r ?階平均相合性和完全收斂性以及權函數估計的一致平均相合性問題。
  5. In first chapter, we define the first stage estimators for 0 and g by using kernel weight function, least square and two stage estimation under the additivity of the model, and then the paper proves that is the consistency and the approximate normal distribution, and is the consistency and the uniform consistency

    第一章首先綜合核函數法，最小二乘法，基於模型的可加性，利用二階段估計的方法求出， g的第一階段估計量，然後證明了的強相合性與漸近正態性， g _ n ~ *的強相合性和一致強相合性。
  6. Abstract : this paper discusses the conditional problem of the higher order derivatives depending on more than one function, sovles conditional problem of variation of definite integral constraint by using lagrange ' s method of multipliers, and studies the conditional problem of variation of more than one definite integral constrains

    文摘:討論依賴于多個函數的高階導函數的泛函的變分問題，並且利用拉格朗日乘子法討論此類泛函的一種書有定積分約束的條件變分問題的解法.最後討論有多個定積分約束的條件變分問題
  7. This paper discusses the conditional problem of the higher order derivatives depending on more than one function, sovles conditional problem of variation of definite integral constraint by using lagranges method of multipliers, and studies the conditional problem of variation of more than one definite integral constrains

    討論依賴于多個函數的高階導函數的泛函的變分問題，並且利用拉格朗日乘子法討論此類泛函的一種書有定積分約束的條件變分問題的解法.最後討論有多個定積分約束的條件變分問題
  8. So we adopt an radial basic function neural network and a three - order volterra series filter to construct two prediction model which are used to predict the eeg signal. in this paper, we improve the radial basic function neural network and breach the two - order limited by using product - coupling to realize the three - order volterra series filter. wavelet transform is an analytical method that unites the time and frequency domain

    因此，本文採用徑向基函數神經網路和三階volterra級數濾波器分別構造腦電信號的兩個預測模型；對通常的徑向基函數預測網路作了改進，並且採用乘積耦合近似實現三階volterra級數濾波器，突破了常規上只能用二階volterra級數濾波器的限制。
  9. First, we present the equivalent variatial formulations of the least - squares mixed method and prove the existence and uniques for the weak problems. on the basis of l2 - projections and raviart - thomas projections, we obtain the superconvergence of the least - squares mixed finite element approx - imations on uniform triangulations, where triangular mixed finite elements of the lowest order raviart - thomas spaces are used to approximate the flux p. in the second chapter, we briefly recall the standard and mixed finite methods for second order elliptic problems, and introduce a modified least - squares mixed method

    作者首先導出了最小二乘混合元方法的等價變分形式，並且證明了變分問題廣義解的存在唯一性；在此基礎上，我們採用強一致三角形剖分，選取最低階的raviar - thomas空間對未知函數的通量進行逼近，利用l ~ 2投影和raviart - thomas投影，得到了插值投影和最小二乘混合元解之間的超收斂結果。
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