迭代的
- 与 迭代的 相关的网络例句 [注:此内容来源于网络,仅供参考]
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But ECT technology has the following characteristics: 1 the measured capacitance and its change induced by the measured material concentration variation are very small, but the stray capacitances of co-axial screening cable and CMOS switches are relative very large, so the capacitance detecting is easily affected by the stray capacitances, 2 the electric fields in the sensors detecting region is affected by the permittivity distribution, non-uniformity of the space responsive sensitivity is very high, and the image reconstruction is undetermined.
但由于ECT技术中,首先所检测的微电容量及其因物流相含率的变化所引起的变化量很小,而由相关的连接同轴屏蔽电缆与切换CMOS开关所引入的杂散电容远远大于测量电容,微电容的测量容易受杂散电容等的影响;其次,多电极电容传感器测量区内的电场受介质分布的影响,且测量区内的空间响应灵敏度极不均衡,其影响图像重建的不确定性;其三,ECT中的图像重建,由于其是一个欠定问题的求解,在迭代求解方法中,迭代的初值影响迭代过程收敛到近似解的速度;其四,对于气/固两相流应用而言,由于ECT系统在线标定的难以实现,管壁磨损等因素的影响制约该技术应用于生产工艺中气/固两相流的长期连续检测。
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In this paper, we use the Pluricomplex Green function to investigate the iterative poperties of holomorphic self-maps, which are defined on the unit disk, the unit ball, the bounded strongly convex domain and the bidisc.
基于该思路,本文就利用多复Green函数,在分别研究了单位圆、超球、有界强凸域以及双圆柱上全纯自映射迭代的基础上,进一步研究了一特殊非凸域-Hartogs三角形上全纯自映射迭代的性质。
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In Chapter 5, a scheme of the equilibrium iteration with a constant stiffness matrix is constructed by means of Steffensen's acceleration in the fixed-point iteration.
在第五章,我们利用不动点迭代的Steffensen加速方法构造了一个基于常刚度的平衡迭代格式。
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In the developing , we use the incremental model: Choose transaction systems; Collect requirement; Make sure the technology of end user layer; Create a data model; Develop data warehouse base on data model and requirement; Return to moodily transaction systems self; Create codes; Test; Train users .Then we start the next increment.
在系统开发过程方面,我们采取迭代的方式进行:选择业务系统;收集需求;确定合适的终端用户技术;建立一个数据模型;基于用户需求和业务数据模型,开发数据仓库、数据模型;从数据仓库,数据模型返回修改业务系统及数据集市本身;生成执行ETL和数据交互过程的代码;测试数据仓库;第一轮迭代投入生产、培训业务人员,并开始规划下一轮迭代。
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A differential iteration solution is presented by combining the features of bidirectional iteration method, Newton′s interpolation formula and direct differential method.
将"双向迭代"、牛顿二次差商以及直接微分等分析手段有效地结合起来,形成一种被称为"微分迭代"的波导方程解析方法。
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The original PageRank algorithm uses the Power Method to compute successive iterations that converge to the principal eigenvector of the Markov matrix representing the Web link graph.Authors use the sparse of the Google matrix P in the iterative matrix A =[ CP +(1- c ) E ]T,optimize the computation of each iteration and reduce storage space.
在PageRank算法中是使用乘幂法对网络链接图的Markov矩阵进行迭代计算,利用迭代矩阵 A =[ CP +(1- c ) E ]T中Google矩阵 P 的稀疏性,优化每次迭代的计算量并且减少空间存储量。
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By studying the spectrum properties of coefficient matrix and the regular parameters at the iterative procedure of the first class regular method , we assign a uniform parameter for the inner iteration . Simulation results show that this method for choosing regular parameter is correct and the outer iterate convergence for high contrast object.
这两种方法的正则化效果取决于迭代的次数,我们通过对静态正则化方法中逆散射方程系数矩阵的谱特性、正则化参数等进行分析,对这类迭代正则化方法选取了统一的正则化参数,使得外部迭代方法收敛。
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In this way,we can obtain the sequence of sub-iteration which is objectively suitable for the characters of multiple images to be encrypted. Based on this sequence,either an adjusting iteration after the whole iterations with the original sequence or completely changing the sequence of the whole iterations can be adopted.
根据这一次序,用完整迭代后附加调节性迭代的方法或者完全更换迭代次序的方法,都能够在保留基本算法快速收敛优势的前提下,使多幅解密图像质量以及系统地复用容量得以整体提高。
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If one is provided, it must be an iterable, i.e., a sequence, an iterator, or an object that supports iteration such as a file or a dictionary.
如果提供一个参数,则该参数必须是可迭代的,即,一个序列,或迭代器,或支持迭代的一个对象,例如:一个文件或一个字典。
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This method solves the problem of nonlinear iterative oscillation successfully and expedites the convergence velocity.
运用该模型解决了土壤冻融相变过程中非线性迭代的振荡问题,加快了迭代收敛速度。
- 推荐网络例句
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This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
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Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
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There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。