single equation造句

• The process described in this section is a generalization of newton's method for a single equation .
  本节所叙述的是对单个方程的牛顿方法的一般化。
• It seldom happens that all the determining variables on the right-hand side of any single equation are exogenous .
  任何单一方程式的右方的独立变量并非都是局外变量。
• single equation model
  单方程模式
• You made three good analytic judgment calls in a row without calculating a single equation
  没有计算一个方程式，您已做出了三个较好的分析判断。
• (4 ) there are different predictions on velocity field, temperature field and the heat transfer coefficient when single equation model and launder and sharma low-reynolds number k-e model were used respectively in the near wall regions
  (4)近壁区采用单方程模型和双方程模型对流动结构、温度分布和换热系数分布的预测有着较大的差别，建议开展实验研究进行验证。
• The standard k-e turbulence model was employed in the core region of the cavity . two low reynolds number turbulence models, single equation model and launder and sharma low-reynolds number k-e model, were used in the near wall regions
  在紊流核心区采用标准k-模型，近壁区分别采用单方程模型和launder?sharma低雷诺数k-模型，采用simple算法，求解并获得了盘腔中的速度和压力场、全域的温度场以及流固界面上的换热系数和努谢尔数分布。
• This paper mainly deals with the multivariate bayesian inference theory used in the modern economical and management science . this includes the bayesian inference theory about three important kinds of linear models, including the single equation model, multiple equation model system and var ( p ) predictive model, and their application in economic forecasting and quality control, and also the design for the bayesian classification identification method among multiple populations
  本文主要研究现代经济管理中的多元贝叶斯推断理论，包括单方程模型、多方程模型系统和向量自回归var(p)模型的贝叶斯推断理论及其在经济预测与质量控制中的应用，以及多总体的贝叶斯分类识别方法的构造。
• 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
  在单参数平方损失函数的基础上，定义了向量损失函数，利用向量化算子vec定义了矩阵损失函数，并讨论了这两类损失函数下随机向量参数和随机矩阵参数的贝叶斯风险决策解。