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computing rule相关的网络例句

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The topics are divided into three parts: the first part introduced the basic concepts of algorithms, mathematical algorithms and algorithms based on complexity analysis scheduling problem for the second part of the problem and plans to discuss a variety of existing algorithms, and describes the design of commonly used algorithms including sub-rule law, greedy method, dynamic programming, backtracking and branch and bound method, and describes the complexity of the calculation, as well as NP-complete problem the third part of the model on parallel computing and parallel algorithm design techniques.

全书分为3个部分:第一部分介绍算法的基本概念、算法的数学基础以及算法复杂度分析;第二部分针对排序问题和图的问题,讨论各种已有的算法,并介绍常用的算法设计方法包括分治法、贪心法、动态规划法、回溯法和分支限界法,并介绍了计算的复杂性以及NP完全问题;第三部分讲述并行计算模型和并行算法设计技术。

Lastly,we present an algorithm to isolate real roots of a univariate spline, i.e., computing asequence of disjoint intervals such that each of them contains exactly one real root of agiven spline function, which is primarily based on the use of Descartes\' rule of signs withits B-spline coefficients and de Casteljau algorithm of B?

最后,基于B-样条系数的Descartes符号准则和Bézier曲线的de Casteljau算法,我们给出了一元样条实根分离算法,也就是计算出一列不相交区间,使得每个区间恰好只包含此样条函数的一个实根。

Lastly,we present an algorithm to isolate real roots of a univariate spline, i.e., computing asequence of disjoint intervals such that each of them contains exactly one real root of agiven spline function, which is primarily based on the use of Descartes rule of signs withits B-spline coefficients and de Casteljau algorithm of Bzier curve.

最后,基于B-样条系数的Descartes符号准则和Bézier曲线的de Casteljau算法,我们给出了一元样条实根分离算法,也就是计算出一列不相交区间,使得每个区间恰好只包含此样条函数的一个实根。

Analysis for testability is widely used in DFT and test pattern generation, but most testability analysis algorithms have the shortcoming of either inaccuracy or being too complicated. A new method to calculate the signal probabilities of the nodes in IC is pre-sented in Chapter 7 of this dissertation. The signal probabilities by our method is more exact than by the previous ones. A symbol of the signal probability at the fan-out node is created and is propagated to the RFON (Reconvergent Fan-out Nodes). At the RFON, the expression containing the symbol is simplified using the rule which corresponds to the law of identity in Boolean algebra. After the expression is simplified, the symbol is substituted with its numeric value. Theoretical analysis shows that this method is concise and has a low computing complexity.

可测试性分析在可测试性设计和测试生成中都有着广泛的应用,然而大部分的可测性分析方法都存在不精确或者过于复杂的毛病,在第七章中作者提出了一种新的计算IC电路节点的信号概率值的符号算法,该算法得出的信号概率值比用以往的算法法得出的要更准确,也更简洁,针对电路中的扇出节点重汇聚现象,我们在每一个扇出节点定义了一个信号概率的符号,在以后的计算中一直使用该符号参与计算,直到该符号传播至重汇聚处,利用一定的规则把含符号的表达式化简,再将符号的真实值代入,在计算符号概率的过程中定义了一个和布尔代数中的同一律相对应的运算规则,通过该运算规则,使得信号概率的结果更加准确,符号算法具有简洁方便,计算复杂度小的特点 4。

An algorithm of decision extraction rule based on granular computing mode is presented in this paper.

提出一种基于粒度计算模型的决策规则提取算法。

Theory computing and relative test were carried out to research the rotor vertical and horizontal phase change rule during run up process.

对转子在变速过程中垂直和水平信号相位及其差值变化规律进行了理论计算和相关试验。

An on-line blind source separation algorithm of non-stationary mixed signals is presented. The algorithm uses the multiple time-delayed decorrelation and natural gradient rule to obtain the stationary point of the cost function, only a small number of observed samples is needed to minimize the Frobenius norm of the correlation matrices, so the computing cost is low and continuous separation calculation could be realized by on-line operation.

利用一种基于多时延解相关准则的代价函数和自然梯度原则,分别推导出非平稳信号在瞬态线性混合及卷积混合情况下的在线盲分离算法,仅通过对有限个时延样本的相关矩阵进行Frobenius范数最小化运算得到分离矩阵,计算工作量小,无需对样本进行分块处理,可实现对信号的连续跟踪操作。

At last, taking Xu Gang Mine as an example, the rule of surface movement and deformation caused by strip mining can be gained by computing.

最后以萧县许岗煤矿为例,通过程序计算,得出了该矿急倾斜煤层条带开采地表移动与变形规律。

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Lao Qiu is the Chairman of China Qiuyang Translation Group and the head master of the Confucius School. He has committed himself to the research and promotion of the classics of China.

老秋先生为中国秋阳翻译集团的董事长和孔子商学院的院长,致力于国学的研究和推广。