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迭代公式的英文

  • iterative formula
  • recurrence formula

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  • 例句与用法
  • Several variations of newton iteration method
    迭代公式的几个改进
  • In addition , the paper makes a research into fft in asynchronous sampling from the angle of iteration , and obtains a iterative formula
    此外,本文从迭代收敛的角度研究了非同步取样时的fft ,得出了一个迭代公式
  • However , recurrent kaufman formula used to compute call blocking probabilities ( cbps ) of virtual paths in “ step algorithm ” is time - consuming
    然而,步进式算法中用来计算虚路径上的呼叫损失率的kaufman迭代公式非常的耗时。
  • We have deduced the iterative formula by the theory of the dynamic system , proved that the quadratic convergence holds under the weak conditions , and done the numerical experiments
    利用动力系统理论推导出该方法的迭代公式,证明其在某些弱条件下至少是二阶收敛的,最后给出了数值结果。
  • Using field transformation ideas and split - field method to solve the difficulty of setting periodic boundary condition when excitation is abnormally incident , and founding time domain function for analysis of fss
    采用场变换思想和场分裂方法,建立相应的时域迭代公式,解决了平面波斜入射情况下周期边界条件设置中的困难。
  • And lager step size could be used in the integral process . based on the gear method and the differential - algebraic equation simultaneous solution method , the newton iteration formula is derived in this thesis
    本文根据电力系统全过程动态仿真软件的基本积分方法( gear法)和微分一代数方程联立求解法,构造了gear法联立求解微分方程组和代数方程组的牛顿迭代公式
  • And four constitutive models are established , which are hyperbolic model , half - logarithm model , exponential model and poisson model . combined with the analysis of the change of effective stress , the iteration formulations of settlement calculation are provided
    同时建立了双曲线模型、半对数模型、指数模型及泊松曲线模型四种本构模型,并结合有效应力过程分析给出了实用的沉降过程线的反演迭代公式
  • In chapter 5 , the algorithm theory of the mrtd method is discussed , and the deduce of mrtd is consummated and the frame of mrtd is constructed . and this chapter deduces the detailed formula using battle - lemarie wavelets and harr wavelets , respectively
    接着第五章讨论了mrtd的理论原理,补充和完善了mrtd的推导,构建了mrtd的基本框架,并分别以battle - lemarie小波和harr小波为例推导了详尽的迭代公式
  • During re - estimating the e - hmm parameters , every training sample is represented by one e - hmm , the model parameters for every sample are obtained firstly , then the different model parameters were synthesized to one model through weighted method , and the weights are adaptively calculated in the training stage
    重估模型参数时,首先计算每幅脸像相对应的模型参数,然后进行加权合并,权值由迭代公式求得,训练结束后用一个合成的模型来表示一个对象。
  • The discretization process is deduced in detail , and the final iteration formula is given . in the discretization equations , higher order upwind differencing scheme is introduced into the calculation of the convection flux , whereas as for diffusion term , a central differencing scheme is taken into account
    文中就具体离散过程进行了推导,给出了最终的迭代公式,其中,对微分方程的离散采用显式格式、对流项采用高阶迎风差分格式、扩散项应用中心差分格式。
  • 更多例句:  1  2
  • 推荐英语阅读
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Last modified time:Tue, 19 Aug 2025 00:29:56 GMT

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