Quantum information processing with continuous variables is an important part in quantum information science.
连续变量量子信息是量子信息科学研究的一个重要内容。
The fourth step is to solve the model with continuous variables by some smooth algorithms.
采用某些光滑算法求解连续变量模型则是第四步。
The model is concerned to a hybrid optimization design problem with disperse and continuous variables.
该模型是带有离散变量和连续变量的混合优化设计模型。
Create a scatterplot to visually assess the nature of an association between two continuous variables.
制作散布图以直观地评价两个连续变数之间相关性的特质。
Furthermore, the author gives the oscillation criteria of some partial difference equation with continuous variables.
此外，作者还给出了一类具有连续变量的偏差分方程的振动准则。
It supports directed and undirected models, discrete and continuous variables, various inference and learning algorithms.
它支持有向或无向的模型，离散或连续的变量，各种推论及学习算法。
By introducing and observing some auxiliary problems with continuous variables, a simple and efficient algorithm is established.
通过引入和研究几个连续变量的辅助问题，我们建立了一个简单而有效的算法。
Many industrial processes contain not only continuous variables but also discrete ones, which were traditionally treated as separate parts.
在许多工业控制过程中，不仅含有连续变量，同时也还有离散变量。
GMDR method was applicable to different types of samples and outcome variables, which was superior to other statistical approaches for continuous variables in some aspects.
GMDR能够处理多种样本类型和结局变量类型，与其他连续变量交互作用分析方法相比具有一定优势。
Consuming alcohol as wine, beer or spirits had similar effects. Results were similar across countries and in analyses using systolic and diastolic blood pressure as continuous variables.
使用连续变量的收缩压和舒张压进行分析，不同国家、不同类酒(葡萄酒、啤酒或烈性酒)对血压的影响相似。
Continuous variables can also be cast into the appearance of taxonomic features by organizing their value into ranges, which can then be further subdivided to create a hierarchy.
通过按范围对连续变量值进行编组，然后将它们进一步细分来创建分层结构，可以将这些变量强制转换为分类特性形式。
Identify, define, classify, and compare continuous (variables) and discrete (attributes) data, and recognize opportunities to convert attributes data to variables measures.
识别、定义、分类并比较连续的(计量数据)和离散的数据(计数数据)，并且识别把计数数据转变为计量数据度量的机会。
Identify, define, classify, and compare continuous (variables) and discrete (attributes) data, and recognize opportunities to convert attributes data to variables measures.
识别、定义、分类并比较连续的(计量数据)和离散的数据(计数数据)，并且识别把计数数据转变为计量数据度量的机会。
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