The heart of this problem is the declaration of the decision variables as binary variables.
这个问题的核心是将决策变量声明成二元变量。
In this paper, a new binary variables approach is presented to different grid resources.
针对不同的网格资源，提出了一种二元变量法。
All variables were translated into binary variables, and implicit enumeration method was developed to solve the model.
把模型的变量转化为二进制变量，并用隐枚举法求出最优解。
Operands can be variables or decimal, hexadecimal, octal, or binary Numbers.
操作数可以是变量，还可以是十进制、十六进制、八进制或二进制数。
The set covering problem teaches binary decision variables; that is, they can only be 0 or 1, yes or no.
集合覆盖问题涉及的是二元决策变量；也就是说，它们的值只能是0或1、yes或no。
Variables with a significant univariate relationship were loaded into a series of binary logistic regression models.
变量之间的关系具有分被装载到一串二进制逻辑回归模型。
According to weight coefficient of binary variable, discrete variables can be gradually determined in optimization process, and their discretization can be realized during iteration successively.
并且，在优化过程中根据二进制变量的权重系数逐步确定离散变量的取值，实现了离散变量在优化过程中的逐次归整。
This paper introduces the mathematical model for dynamically choosing questions from the question database by using binary distributed function with random variables.
介绍了用离散型随机变量的二项分布函数从试题库随机选题的数学模型。
This must be the case, otherwise assignments to global variables would change your on-disk binary image.
这必须是这样，否则对全局变量的赋值会改变你的磁盘上的二进制图像。
In the first step, the antecedents of fuzzy classification system and input variables are coded into a binary string and treated as an individual in genetic algorithm.
第一阶段，将模糊分类系统的前件和输入变量编码为一个个体，实现了输入变量论域的动态划分和输入变量选择。
These digital logic circuits are viewed as implementations of Boolean functions that operate on a set of binary valued variables.
数字逻辑电路则用来表示二进制数集合上的各项逻辑运算功能的一种实现方式。
By means of binary encoding technology, all discrete variables are converted into linear combination of several 0-1 variables.
该方法通过对离散变量进行二进制编码，从而将离散变量转化为若干0 - 1变量的线性组合。
Its number of variables is similar to the cubic spline. Its order of smoothness and approximation is one order lower than that of cubic spline. Therefore it is similar to the binary spline.
其变量个数类似于三次样条，光滑性与逼近阶都比三次样条降低一次，即类似于二次样条。
Its number of variables is similar to the cubic spline. Its order of smoothness and approximation is one order lower than that of cubic spline. Therefore it is similar to the binary spline.
其变量个数类似于三次样条，光滑性与逼近阶都比三次样条降低一次，即类似于二次样条。
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