random vector 中文意思是什麼
random vector
解釋
隨機矢量-
The convergence of integrals of s. i. s. vector random measures with respect to a white noise
向量隨機測度關于白噪聲的積分的收斂性 -
3 gray factor analysis ? common factor model let random vector be written as common factors, they are unobservable random variables. s1, s2, . . sp are said to be specific factors. from ( i x ( ii ), the common factors are independent with each other, st only act on yi, the aij of matrix is called loading of factor, a = ( aij ) is called the loading matrix of factors ; because cov
二l一一一一一一一一一一一一一一一一一一一一一一一一一一一一一卜一一一一一一一一一一一一一一卜一一一一一一一一一一一一一一一一一一一一一一一一一一j刁日d乞口6刁a司701刁刁70刁19 o0 1 8031 01刁90320000刊20000z20m01圖123灰色因子分析今公因子模型假定隨機變量p二（ ，鄉… ， p倆足ypxl a l屍」 qq 。 -
To clone large and random dna fragments, the second generation of yac, pjs97 - pjs98 was modified as gene replacement vector in streptomyces
4kb和1 . okb片段，而且還插入了勿，七刃j和spc心t廠抗性基因。 -
Generates a random initialization vector
生成用於該演算法的隨機初始化向量（ -
First, we consider a dynamic input - output model with deterministic consumption vector s ( t ), random consumption coefficient matrix and random investment coefficient matrix which the time lag is one
首先，對時滯為1的動態投入產出模型，將隨機因素、消費向量考慮進去，研究時滯為1且帶確定性消費的前向延遲型隨機動態投入產出模型 -
A dynamic input - output model with random consumption vector s ( t, ), random consumption coefficient matrix and random investment coefficient matrix which the time lag is one has been discussed. by means of modern stochastic analysis and markov process, it has been proved that the random dynamic input - output model does not have a balanced growth solution
對具有隨機消費向量s （ t ， ） ，隨機投入產出消耗系數矩陣、隨機投資系數矩陣的動態模型，利用現代概率分析、馬氏過程等工具，證明了其經濟穩定增長解不存在的結論 -
Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce
因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。 -
The property of continuous function and the formula of probability addition to the convergence in probability of continuous function sequence of random vector is used
摘要將依概率收斂的一維隨機變量序列的連續函數仍依概率收斂的結論推廣到隨機向量序列的情形。 -
This treatise has researched on the construction of structured ldpc codes, including eg, bibd, semi - random - rotation and an approach based on vector - matrix proposed by us and compared random construction and structured construction through theoretical analysis and simulation. we also compared several structured codes
本論文研究了結構化ldpc碼的構造，包括基於歐氏幾何空間的eg （ euclideangeometries ）方法、基於組合代數的bibd （ balancedincompleteblockdesign ）方法、半隨機半結構化的-旋轉構造法，以及我們提出的基於矢量矩陣的結構化構造方法。 -
In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis
傳統的最優化演算法中迭代的計算和分析是確定的，與之相比，隨機方法依靠隨機過程和隨機數字/向量的生成作為演算法和（或）演算法分析的一部分。 -
By using vector random field model and second - order perturbation method, viscoelastic stochastic finite element formulation is developed, which can take the correlation of random parameters into account and is suitable for stochastic structural analysis with larger variance of the uncertainties
利用向量隨機場模型和二階隨機攝動方法，給出了相應的粘彈性隨機有限元列式。能夠考慮參數的相關性，更加接近於prony級數的參數測試過程。 -
In this paper, we use the main results of type 2 vdr to analyze the spherical symmetric distribution. we obtain the two equivalent representations of the spherical symmetric distribution. they are both a product of a positive random variable and a random vector with uniform distribution, and the domain of uniform distribution are both related with sphere
本文將第二類垂直密度表示的主要結論應用於球對稱分佈，得到了球對稱分佈的兩種等價表示形式，它們都是一個正隨機變量與一個均勻分佈向量的乘積的形式，且均勻分佈的區域都與球有關。 -
Based on the lorentz transformation on especial condition, making use of coordinate transformation and matrix theory, the matrix expression and vector expression of lorentz transformation about two inertial frames that relative speeds orientation is random and isnt follow axes of ordinate are educed. 2figs., 3refs
從特殊情況下的洛侖茲變換出發，利用坐標變換和矩陣理論，導出了兩個慣性系的相對運動速度取向任意，且不沿任一坐標軸洛侖茲變換的矢量表達式和矩陣表達式.圖2 ，參5 -
Study of regression in vector random field
向量隨機場回歸分析的研究 -
Another 20 kinds of non - designed contact points are given for the first time. contact determining algorithm of all the above contact types is given using z - buffer algorithm for 3 - d observation, and simulation results show high accordance with results of vector - associated method. simulation for non - designed contact mode with random initial conditions has been done too, and statistics from the simulation indicates that it is important to predict non - designed contact points in practical rvd efforts
全文的工作包括以下幾個方面的內容: 1 .建立了周邊式對接機構的復雜幾何外形的數學描述，描述了對接初始條件范圍內，兩對接機構相互接近、捕獲過程中可能出現的20種設計接觸模式，並針對初始接觸點首次提出20種非設計接觸模式;利用計算機圖形學中可見面判別的z -緩沖演算法原理，給出了所有接觸模式的檢測演算法，該演算法的模擬結果與輔助向量法高度一致，驗證了演算法的有效性;進行了300組確定首次接觸點的隨機模擬，統計結果表明，在飛船上實時進行非設計接觸模式的預測是非常重要的。 -
On the strength of the square loss function, this part also defines the vector loss function and matrix loss function, and discusses the bayesian risk decision solutions about random vector parameter and random matrix parameter under these loss functions respectively. secondly, the bayesian inference theory about single equation model is explored
在單參數平方損失函數的基礎上，定義了向量損失函數，利用向量化運算元vec定義了矩陣損失函數，並討論了這兩類損失函數下隨機向量參數和隨機矩陣參數的貝葉斯風險決策解。 -
In this dissertation we study the important characteristic of monte carlo method - - - generation and testing of pseudo - random number 。 we programmed a program of uniform random - number generator and uniform random - vector generator, and simply test the performance of random - number generator
研究了蒙特卡羅方法的重要特徵隨機數的產生和檢驗，編寫了一個均勻隨機數和隨機向量發生器程序，並對隨機數發生器進行了簡單檢驗。 -
In order to encode the parameters of sinusoidal model, the vector quantization techniques for amplitude parameters and the differential quantization for frequency parameters are proposed and discussed. at the same time, the frequency bin model, the random phase model and the zero phase model are also discussed
針對正弦模型參數的量化編碼，提出了幅度參數矢量量化、頻率參數差分量化等方法，並探討了頻率盒量化模型以及隨機相位和零相位模型等。 -
In chapter one of this thesis, using the method appearing in ref. [ 7 ], author calculates the extinction probabilities for the single birth chain in a random environment with a reflection barrier, and obtains the vector difference equations about them
本文在第一章中借鑒此方法，研究了狀態空間為{ 0 ， 1 ， … ， m }具有反射壁的隨機環境中單生鏈的滅絕概率，得到了關于滅絕概率的差分方程。 -
Based on the thought of extending the domain on which the random vector xn has uniform distribution to other sets, we construct the concept of center simila r distribution ( csd ), and give some related theorems. also we get two representations of csd
而後我們基於將向量均勻分佈的區域改變成其他形式集合的思想，提出了中心相似分佈的概念和相關定理，相應的也給出了中心相似分佈的兩種表示法。
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