查询词典 variables

In this paper an optimum design method complex method with mixed discrete variables is discussed with the focus on the optimization design of discrete and continuous variables.

针对工程中大量存在的设计变量为离散型和连续型的混合离散变量的情况，探讨了一种优化设计问题的方法———混合离散复合形法。

According to that the eigenstates of applied quantum systems, are with discrete or continuous spectrum construction, quantum information is divided into two types of discrete variables and continuous variables. They have different features and application potentials. Both of them are parallelly developing.

量子信息科学根据所利用的量子变量的本征态具有分离谱或是连续谱结构区分为分离变量与连续变量两大类，连续变量和分离变量量子信息有着不同的特点与应用前景，各具特色，目前正在平行发展。

This paper presents a new method for defining the discrete and continuous state spaces SO that the discrete decision variables and the continuous decision variables can be decoupled.

文中提出了一种新的离散状态定义方法，解除了子问题中离散决策变量与连续决策变量的耦合。

This paper provides a method of variable integrity testing to detect the faults of software By checking the definition domain of the variable itself and the restriction condition of consistency between variables, we only need to determine the bound of each output data, rather than the exact value Although the output of testing case cannot be easily caught, this method can improve the efficiency of detecting faults Furthermore, the checking point is not limited to the final output place, but spreads over the reference places in the program code to key variables just like those at the checkpoints under debugging As a consequence, the testing becomes more precise

由于软件测试用例的输出部分很难确定，而通过测试变量自身的定义域和变量间的一致性约束关系，只需要确定输出值的范围而不用知道其确切的值，就可以提高了错误检测的效率同时，检测的范围不局限于程序最后的输出结果，而是散布在程序中的各个有意义的变量，正如调试过程中设置断点观察的那些变量，使得检测错误更加精准1 引言软件测试的本质在于针对要测试的内容确定一组测试用例[1] 测试用例分为输入和输出两部分功能测试和结构测试等基本的软件测试方法，都比较关心测试用例的输入部分定义域的确定，而对测试用例的输出部分考虑得较少例如，边界测试和等价类测试[2 ] 只考虑测试用

Secondly, we choose the proportion of shares held by institutions as dependent variable, and we use log of the total asset, volatility, beta, Jensen Index, debt-to-asset ratio, dividend yield, turnover ratio, years listed in exchange and HS300 Index dummy as explanatory variables. Then we set up a multiple regression model. Finally, we use the cross-sectional data from the end of 2006 to the end of 2007Q3 to test the relationship between the explanatory variables and the proportion held by institutions.

具体方法如下：首先，在已有研究成果的基础上，对我国机构投资者的审慎性持股偏好提出了两个假设；其次，以机构持股占个股流通盘的比例为因变量，以公司的总资产对数值、波动率、贝塔值、Jensen指标、资产负债率、股息率、年度换手率、上市年限为解释变量，并在引入沪深300虚拟变量后，建立了多元线性回归模型；最后，采用我国证券市场迎来历史性大牛市、机构投资者发展最为迅猛的2006年末-2007年3季末的四个横截面数据，对各解释变量与机构持股比例之间的关系进行了实证检验。

Stochastic variables included driven accelerations, driven time, torques, frictions and damps were considered basically. In the first, Monte Carlo method was applied to generate stochastic variables and dynamical responds of mechanism. Secondly, the application of Artificial Neural Network was motivated by the approximate concepts inherent in reliability analysis and time consuming repeated analyses required for MC.

将驱动加速度、驱动时间、摩擦和阻尼力等作为随机变量，应用蒙特卡罗方法，取得动态参数样本，再利用人工神经网络方法，根据抽取的样本对网络进行训练，统计网络输出得到动态应力分布，进而求出机构动态强度可靠度。

In the pelagic subsystem,there are 4biological state variables which were represented by functional groups:flagellate,diatom,pelagic bacteria and zooplankton.In the benthic subsystem,there were 5 biological state variables represented also by functional groups:macrobenthos,meiobenthos,aerobic and anaerobic bacteria,and shrimp-which is actually epibenthos.

将浮游亚生态系又划分为4个功能群，分别为：鞭毛藻、浮游硅藻、水体中细菌和浮游动物，将底栖亚生态系划分为5个功能群，分别为大型底栖动物、小型底栖动物、底栖厌氧菌、底栖好氧菌，对于营底上生活的对虾也划分在这一亚生态系中予以考虑。

This algorithm constructs a set of linear equations. As a result, the relation of the reconstructed design variables and the original design variables is derived, the variable number of optimum design is decreased from m + n + 2 to 4, and the equality constraint optimization problem is converted into reduced- dimension no equality constraint optimization problem.

该算法通过构造一组线性方程，得到了由重构设计变量到原设计变量的映射关系，使优化设计的变量由原来的m + n + 2个减少到4个，并将有等式约束优化问题转换成降维的无等式约束优化问题。

Means that the variance in the error term, u, conditional on the explanatory variables, is the same for all combinations of outcomes of explanatory variables.

意思是，不管解释变量出现怎样的组合，误差项u的条件方差都是一样的。

In view of describing latent variables influence which are faced to the model of relationship between customer satisfaction degree and its influence factors, integrating the respective characteristic of partial least squares method and the structure equation model, this paper proposed the question that the structure equation model application in service industry which is based on PLS method; take the system thinking as the instruction, construct the model of customer satisfaction in the technical project service industry which take the customer satisfaction degree as endogenous latent variables, and take the customer expected, the sensation quality and the sensation value as exogenous latent variable.

本文针对描述客户满意度与其影响因素间关系模型所面临的潜变量影响，结合偏最小二乘法与结构方程模型各自的特点，提出了基于PLS的结构方程模型应用在服务行业的问题；以系统思想为指导，构造了以客户满意度为内生潜变量，以客户期望、感知质量与感知价值为外生潜变量的技术工程服务行业客户满意度模型。

He got into race cars, while my father liked go-karts more, so I didn't really pay attention to what Diego was doing, as I was just racing karts.

叔叔开的是跑车，而我父亲更喜欢越野卡丁车，所以我并不太关注Diego在做什么，我仅仅在跑我的卡丁车而已。

She is at present gone to look for the best nectar and ambrosia to regale me this evening.

她今晚为款待我，现在又去准备美酒佳肴去了。