class variables 中文意思是什麼

class variables 解釋
類變量
  • class : n 1 階級;社會等級。2 學級；班級，年級，級，班；組；（有組織的）講習班；〈美國〉同年畢業班；【軍事...
  • variables : 變量
  1. Introducing a class of generalized fibonacci sequences with double variables, we establish the relation with aitken, secant, new - raphson, halley transformation etc., generalize the results of many authors. furthermore, we give a more general generalization of q - matrix

    通過引入一類雙變量的廣義fibonacci序列，建立了其與aitken 、 secant 、 newton - raphson 、 halley等變換的關系，進而給出了q -矩陣的一個更廣泛的推廣。
  2. Overloaded infix operators and do not work if both operands are class variables

    如果兩個操作數均為類變量，重載中綴運算符< >無效：
  3. In this papery we discussed the the extremum of function of several variables, and generalized the result of paper [ 2 ], then we give the method of solving the extrme value of n - component function using first class partial derivative

    摘要討論了多元函數極值的問題，推廣了文獻[ 2 ]的結果，並給出了利用一階偏導數求多元函數極值的方法。
  4. Orthowidths of some class of periodic functions of two variables

    一個二元周期函數類的正交投影寬度
  5. A class of the singular integral equation on several complex variables

    一類多復變量的奇異積分方程
  6. By using conditional moment generating functions and differentiation of measures on a net, some limit theorems and a class of deviation theorems of multivariate function sequences of arbitrary random variables ralated to the conditional expectations are obtained

    本論文利用條件矩母函數和網微分法，得到任意隨機變量多元函數序列相對于條件期望的偏差定理和極限定理。
  7. A branch and bound algorithm for solving a class of nonlinear 0 - 1 knapsack problems is proposed, in which branching is common 0 - 1 variables one and a better feasible solution is found by a simply integer heuristic method as well as a lower bound of the optimal value of the subproblem in the each branching node is determined by solving linear programming relaxed approximate problem to be obtained with linear relaxed technique

    摘要構造出了一類可分離非線性0 - 1背包問題的分枝定界演算法，分枝的過程是普通的0 - 1變量分枝，用簡單的取整啟發式法確定更好的可行解；而在每個分枝結點處用線性鬆弛技術確定了它的子問題的一個線性規劃鬆弛逼近，由此得到最優值的一個下界。
  8. The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling

    劉文教授在解決大數定律中，用首創的分析方法得到一類隨機變量序列的強偏差定理。后來，劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究，得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念，並利用這個概念研究任意信源二元函數的一類強偏差定理，得到了馬氏信源shannon - mcmillan定理的一個推廣。
  9. This paper gave a recipe distance measurement method and recipe class distance measurement method based on hybrid variables measurement

    建立了配方的相似性測度及配方類間混合距離測度方法。
  10. Class and module member variables outside any procedure default to private access, and structure member variables default to public access

    類和模塊成員變量（位於所有過程之外）默認為私有訪問，而結構成員變量默認為公共訪問。
  11. Studies have claimed that age and social class of patients are related to their level of satisfaction with care 14 ; however, the relationships between patients socio - demographic variables and satisfaction are not consistent 24

    某些研究指出病人的年與社會階層，對于照護的滿意程度有關14甚至病人的社會統計變異與滿意度之間的關系並不是始終如一24 。
  12. Using the transmission of one class planet gear and two class cylindrical gear, considering the small scaled of the planet gear ’ s transmission and high gearing ratio of the cylindrical gears, each gearing ratio is : i1 = 5, i2 = 3, i3 = 3. 5. based on the given variables in the special work circumstances, parameters of the gear and the structure of the gearing parts was proposed. through static analysis of the high - speed shaft g, the best structure of the shaft was chosen

    採用一級行星加上兩級圓柱齒輪傳動綜合行星齒輪傳動的小型化和圓柱齒輪的大傳動比，各級傳動比為i1 = 5 ， i2 = 3 ， i3 = 3 . 5 ，按照所給定的工作環境變量確定齒輪副參數和傳動部件的結構，利用ansys確定高速軸g軸最優結構，並用pro / e軟體對傳動部件進行造型及裝配。
  13. In this paper, the notion of likelihood ratio, as a measure of deviation between a sequence of the arbitrary random variables and a sequence of independent random variables with different distributions, is introduced. a class of strong deviation theorems represented by inequalities are given on a subset of the sample space by constructing a negative supermartingale and using martingale convergence theorem

    本文通過引進似然比作為相依隨機變量序列相對于服從不同分佈的獨立隨機變量序列的偏差的一種度量，並通過構造一個非負上鞅，利用鞅收斂定理給出了樣本空間的一個子集上的一類用不等式表示的強偏差定理。
  14. By default ; class variables and constants are

    ；類變量和常數默認為
  15. In other words they are class variables, not instance variables

    換句話說它們是類變量，不是實例變量。
  16. Class variables as in the java language are qualified by the class name

    類變量（像在java語言中一樣）是用類名限定的。
  17. In chapter l, we introduce the relative background on this paper and give some simple expressions of the work which have been studied. in chapter 2, in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied, and a class of strong limit theorems represented by inequalities are obtained. the bounds given by these theorems depend on positive constant c. in chapter 3, by means of the notion of log likelihood ratio, a kind random strong deviation theorem are obtained, and the bounds given by these theorems depend on r ( )

    第一章，介紹本論文的選題背景，對已有的工作進行扼要的介紹；第二章，利用似然比的概念研究相依連續型非負隨機變量序列的極限性質，得到一類強偏差定理，其偏差界依賴于正常數c ；第三章，利用對數似然比的概念得到一類隨機偏差定理，其偏差界依賴于r （ ） ，證明中引進了尾概率和尾概率的laplace變換的概念；第四章，利用對數似然比的概念，得到了一類關于任意連續型隨機變量序列的泛函的強偏差定理。
  18. This study uses classification tree to 1. choose important variables for delivery launder, 2. rank the importance of variables, and 3. classify three levels of quantity of launder and examine under what conditions of variables for high level consuming class of laundry by analyzing the multiple response tables to provide a reference of marketing stratagem

    本研究利用分類樹多變量統計探究技術做：一、篩選影響衣物外洗件數多寡之相關變數，二、排序各個變數的重要性，三、將外洗量之多寡分成三個等級，由分析多變反應交叉表，可以得到每一個等級是在那些變數的那些條件下發生的，以供作洗衣業者對未來行銷策略規劃參考之依據。
  19. Later, professor liu wen studied the sequences of discrete random variables by combining the analytic technique with the approach of generating function and moment generating function and obtained a class of deviation theorems [ 10 ] ~ [ 121

    后來，劉文教授把分析方法結合母函數和矩母函數的方法研究了離散型隨機變量，得到了一類強偏差定理。
  20. We explored the specific machine learning technique, i. e. bayesian technique in this paper, in the hope of automatically creating such kind of metadata from training data. we assigned wsdl documents to different categories using bayesian latent semantic model. with the frame of blsm, our system classified wsdl documents only by a few of latent class variables and no labeled data

    本論文中基於貝葉斯技術的web服務分類演算法的主要思想是通過引入貝葉斯潛在語義模型，首先將含有潛在類別主題變量的wsdl文檔分配到相應的類主題中；接著利用樸素貝葉斯模型，結合前一階段的知識，完成對未含類主題變量的文檔作標注。
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