At the end of each iteration, our deliverables were packaged and delivered to the customer with supporting documentation in the form of release notes.
在每次迭代的结尾，将我们可交付使用的产品打包，并将支持文档以版本注释的形式一起交付给用户。
The first is loop unrolling, a technique where the instructions called in each iteration of the loop are replicated to form a single sequence.
首先是循环展开(loop unrolling)，它是这样一种技术：复制循环的每次迭代所调用的指令以构成一个序列。
In the context of Web applications, iteration is primarily used to fetch and display collections of data, typically in the form of a list or sequence of rows in a table.
在Web应用程序环境中，迭代主要用于访存和显示数据集，通常是以列表或表中的一系列行的形式显示。
From the manager's perspective, these activities occur continuously throughout the project, as shown in Figure 3-2, and form the basic pattern by which the work on an iteration is planned and managed.
从管理人员的观点出发，这些活动在整个项目中会不断地发生，如图3 - 2所示，并形成基本模式(可以按照这样的模式对关于迭代的工作进行计划和管理)。
By using the block of a original message as the chaotic map's initial value, the output of a chaotic system is obtained through its iteration to form original's message digest.
通过将原始明文信息块作为混沌映射的初始值，经过混沌系统的迭代得到系统的输出来构建原始明文的信息摘要。
The principle of the inverse iteration method is stated and the method is applied to one kind of form-finding process.
阐述了逆迭代法的基本过程与原理，并将其运用于预应力索结构的一类形状确定问题。
The results from experiment verify the veracity of the inverse iteration and weighted form finding method.
试验结果验证了逆迭代加权找形法分析的准确性。
Obtains the optimized value after the iteration, with the master form contrast, extracts the quality the light proportion. (4).
经过迭代得到优化值，与原模型对比，求出质量的轻化比例。
We calculate the ML estimation via the EM algorithm, and derive its iteration equations, which gives a closed-form solution for parameters.
我们基于EM算法来计算参数的ML估计，推导了对应的参数迭代方程，给出了参数的一个闭式解。
For suboptimal method based on optimal threshold analysis, a recursive form of threshold selection using Newton iteration is developed with false alarm probability constraint.
次优门限算法以最优门限分析为基础，在虚警概率约束下使用牛顿迭代给出求解门限的递推算法。
For suboptimal method based on optimal threshold analysis, a recursive form of threshold selection using Newton iteration is developed with false alarm probability constraint.
次优门限算法以最优门限分析为基础，在虚警概率约束下使用牛顿迭代给出求解门限的递推算法。
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