主平方根函数是使用非正实轴作为分支切割定义的。
The principal square root function is defined using the nonpositive real axis as a branch cut.
这个工具分析内核代码的覆盖率，并报告哪些行、函数和分支被覆盖以及它们被访问了多少次。
This tool analyzes the coverage of the kernel, and reports what lines, functions, and branches are covered and how many times they were hit.
其他代码要么是内联函数(显然可以由编译器进行内联)，要么是可以由编译器轻松消除分支的代码。
The other possible branches in the code are either inline functions (which can, obviously, be inlined by the compiler), or are easily branch-eliminated by the compiler.
当进行条件分支、向函数传递值、从函数返回值以及其他操作时，首选槽内的值才是关键的。
When doing conditional branching, passing values to functions, returning a value from a function, and several other scenarios, the value in the preferred slot is the one that matters.
您也可以将函数的返回值和test或while之类的命令结合使用来控制分支和循环。
You might also use return values from functions with command such as test or while to control branching or looping.
圈复杂性公式(cyclomatic complexity formula)，被Thomas McCabe首先提出，它是基于一个函数的分支数量来确定复杂度的。
The cyclomatic complexity formula, first developed by Thomas McCabe, is based on the number of branches in a function.
最后，请注意函数调用的分支目标并不是启动它的代码，而是.opd入点描述符。
Finally, notice that the branch target for the function call is not the code that starts it, but the.opd entry point descriptor.
然后需要使用brsl $lr,factorial对函数进行分支。
brsl代表“branch relative and setlink”，用来分支到函数的入口点并将链接寄存器(LR)设置为返回地址的下一个指令。
BRSL stands for "branch relative and set link." This branches to the function entry point and sets the link register (LR) to the next instruction for the return address.
这些协同程序并不是真正的协同程序，因为它们只控制到scheduler函数和来自该函数的分支。
These are not true coroutines in the sense that they control only branches to and from the scheduler function.
scheduler函数中包装了一组生成器对象，这个函数控制将控制流委托给合适的分支的过程。
A set of generator objects is wrapped in a scheduler function that controls delegation of control flow to an appropriate branch.
非线性函数逼近作为统计理论的一个重要分支，在模式识别中有着广泛的应用。
As one of the important branches in statistic theory, the non-linear function has a large application in model-identification.
研究了分支随机转移矩阵与随机生成母函数的关系。
The relation of branching random transition matrix and random generating function are investigated.
函数逼近论在现代数学是一个重要的分支。
Approximation theory of functions is an important branch in modern mathematics.
本文介绍了求解凸集上凹函数最优解的一种分支定界方法。
A branch and bound methods is proposed for minimizing concave function over a convex.
得到了反应的光解谱和作为波长函数的光解行为光谱以及各反应通道的分支比。
Different photodissociation spectra, the action spectrum as function of laser wavelength, and ratio curve of different channels were obtained.
自守函数理论是多个数学分支交叉的产物，体现了数学的统一性。
The theory of automorphic function is an intersection of many subjects, which manifests the unity of mathematics.
本文针对一类带有反凸约束的凸函数比式和问题提出了一种求其全局最优解的分支定界算法。
This article presents a branch and bound algorithm for globally solving the sum of convex-convex ratios problem with nonconvex feasible region.
引进了分支随机Q矩阵、分支随机Q过程和随机生成母函数的概念。
The concepts of branching random Q matrix, branching random Q process and random generating function are introduced.
为了提高求解一般整数线性规划问题的效率，提出了一种基于目标函数超平面移动的分支算法。
In order to improve the computational efficiency, a branch algorithm for general integer linear programming problems on the objective function hyperplane shifts was presented.
在对分支过程性态的研究中，前人的研究工作都是借助矩母函数这一工具来实现的。
The generating function was adopted to research the behavior of branching processes in the former research.
本文针对一类带有反凸约束的凸函数比式和问题提出了一种求其全局最优解的分支定界算法。
This paper discusses the problem and presents a branch and bound technique to find alternate optimal solutions for assignment problem.
函数逼近论是现代数学的一个重要分支。
The approximation theory of functions is one of the important branches of modern mathematics.
分类是数据挖掘的一个重要分支，分类能找出描述数据类或概念的模型(或函数)，以便能使用模型预测类标记未知的对象类。
Classification is an important sub-branch of data Mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
应用推荐