请注意所有的决策变量都是0或1，这与我们期望的一样。
Note that all the decision variables are either 0 or 1, as expected.
字符串变量的长度：substr函数的输入参数，决定了结果字符串的期望长度或length函数的输出。
Length of a string variable: Input argument for the SUBSTR function, which determines the desired length of the resulting string or output of the length function.
如前所述，这个变量支持设置awk期望在字段中找到的字符序列。
As mentioned earlier, this variable allows you to set the character sequence that awk expects to find between fields.
例如，我们不应期望文本编辑API的方法类型可以捕获所有与“只关闭打开的文件”类似的不变量。
For example, we shouldn't expect that the method types for a text-editing API would capture such invariants as "only opened documents can be closed."
当从脚本中调用AdminTask命令时，用户通常更期望(和实际需要)为命令参数指定变量而不是文本。
When invoked from within a script, it is usually more desirable (and practical) to specify variables rather than literals.
局部变量上的数据竞争将是一种新的危险，因为我们目前始终期望局部变量访问没有数据竞争。
Data RACES on local variables would be a new category of hazards, because we currently can always count on local-variable accesses being data-race-free.
随机变量的方差衡量随机变量值与期望值偏离的程度。
The variance of a random variable measures how far from the expected value its values typically are.
随机变量的加权平均值是期望值。
The weighted mean of the random variable is the expected value.
返回值（这里存储在 $rss变量中）并没有指向整个文档，如果使用过其他API如文档对象模型（DOM）您可能会这样期望。
The return value -- here stored in the $rss variable -- does not point to the entire document, as you might expect from experience with other APIs such as the Document Object Model (DOM).
3方差的专业定义是随机变量的二次中心矩，与期望值之差的平方的加权平均值。
The technical definition of variance is the random variable's second central moment, the weighted average of the square of the differences from the expected value.
本文针对含整变量多目标决策问题提出了一种基于目标期望水平的交互式决策方法。
We propose an interactive decision making method based on the objective aspiration level for multiobjective decision making problems with integer variables.
这是一个变量的过程，因此不断尝试，直到你期望的结果。
This is a variable process, so try and try until have your desired result.
数学期望是随机变量的重要数字特征之一。
Mathematical expectation is one of the important digital features of random variable.
在控制了人口统计学变量后，教师期望与自我价值感仍对目标取向各维度具有较强的预测作用。
After controlling the demographic variables, teacher expectancy and self-worth still played significantly predictive roles on goal orientation.
实验验证：理论平均值公式就是随机变量取值的数学期望(估计)计算公式。
Experimental Verification: Theory formula is the average value of the random variable mathematical expectation (estimated) formula.
根据中心极限定理，以随机数为基础，设计了正态随机变量的结构公式，其数学期望和方差可任意给定。
On the basis of random numbers, The structure-formula of the normal random variable has been designed according to the limit theorem.
提出了基于可信性理论的运行风险评估算法，采用随机模糊变量的期望值表示全系统的运行风险指标。
Based on the credibility theory, an algorithm for random fuzzy operational risk assessment is proposed, and power system operating risk is expressed by a random fuzzy expected value.
本文讨论了系统的最优维修策略问题，考虑到题目中所涉及的变量大多为随机变量，我们建立了单目标的期望值模型。
Optimal maintenance policy problem in a system is discussed and analysed in this paper. Due to the random variable concerned, one objective mathematical model of expectation value is developed.
现在我们设置形态变量的值为1以变成指数分布。所以我们可以容易的比较是否得到了我们所期望的结果。
Now we set the value of the shape variable to 1 to obtain the exponential distribution, so that we compare easily whether we get the results we expect.
然后引入了模糊概率随机变量的独立性，给出了离散型模糊概率随机变量的数学期望性质的证明。
Then the independence of random variables with fuzzy probability (RVFP) was introduced, with the characters of mathematical expectation of discrete RVFP proved.
另外，基于模糊变量的期望值算子做出新的评价标准用来评价信号的平均尖端度。
Besides, based on the expectation operator of the fuzzy variable, a new evaluation standard is established to estimate the average sharp degree of the signals.
矩，动差任意变量的正整数功效的期望值。第一个矩是分配的平均数。
The expected value of a positive integral power of a random variable. The first moment is the mean of the distribution.
最后利用母函数这一工具求得一些连续型非负分布随机变量的数学期望及方差。
And finally, this tool-the generating function-can be used to get some expectation and variance of random variable of continual-type non-negative distribution.
模型以各救援设施覆盖的需求点全部收益期望值最大作为目标，以各救援设施的位置和各救援设施分别覆盖哪些需求点作为决策变量。
The objective function is to maximize the total expected demand covered, and the decision variables are the selected location sites and the respective response facilities for every demand nodes.
在这一步骤中，我们期望得到的结果是精确地将多个访问主体用每个显著的变量表达出来(参见图5 - 4)。
The desired outcome of this step is to accurately represent the way multiple subjects cluster with respect to each significant variable (see Figure 5-4).
第一步不考虑约束、非线性和不确定性，得到一个期望的中间变量。
The first step calculates a desired intermediate variable without considering constraint, nonlinearity and uncertainty.
为了实现这个，需要将期望导出的对象赋值给module .exports。注意，将期望的对象赋值给exports会简单地重新绑定到本地exports变量上，这可能不是你想要的。
Note that assigning the desired object to exports will simply rebind the local exports variable, which is probably not what you want to do. module.
为了实现这个，需要将期望导出的对象赋值给module .exports。注意，将期望的对象赋值给exports会简单地重新绑定到本地exports变量上，这可能不是你想要的。
Note that assigning the desired object to exports will simply rebind the local exports variable, which is probably not what you want to do. module.
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