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迭代信息
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  iterative information
     Some previous iterative information is lost when restarted inGMERR, which slows down the convergence.
     由于 GMERR方法在重新开始时丢失了以前的迭代信息,因而引起收敛速度的减慢。
短句来源
     Moreover, the method can use the current and previous multi-step iterative information to predict the parameter in algorithm so as to accelerate convergence of algorithm and make it stable and robust.
     此外,算法可利用当前和前面若干点的迭代信息来预测算法中参数的取值,从而改进算法的适应能力和鲁棒性(容错能力)。
短句来源
     The method makes full use of Turbo iterative information to improve the channel estimation performance and it needs no matrix inversion,which increases few complexity of the whole system.
     该方法充分利用Turbo迭代信息来改善信道估计性能,且因无需求逆运算,使得整个系统的复杂度增加不多。
短句来源
  “迭代信息”译为未确定词的双语例句
     The proposed algorithm has a faster convergence speed, for it uses the information of former iterations.
     该算法充分利用了迭代过程中的前几次迭代信息 ,从而使算法收敛速度更快 .
短句来源
     Finally, the algorithm of neuro-optimation is applied to simulation free surface of SOLA-VOF method.
     此外,通过神经网络系统的仿生结构形式,在算法上模拟了数值模拟迭代信息的时空传递形式,实现了神经网络对SOLA一VOF法流动自由表面的处理模式。
短句来源
     The superiority of the self-adaptive trust region method comparing with traditional trust region method is that the trust region radius in self-adaptive trust region method can be adjusted by itself according to the information of the current iterate informations.
     与传统的信赖域方法相比,自适应信赖域方法的优点在于:其信赖域半径是根据当前的迭代信息自动调节产生。
短句来源
     when we apply self-adaptive trust region method to account self-adaptive trust region direction (djjTp),we plentyly use the information of the current iterate,in subproblem some parameters could be adjusted by itself ,it is propitious to ameliorate convergence of the method .
     用自适应信赖域方法计算搜索方向(d_(k,p)~(tr))时,充分利用了当前的迭代信息,使子问题中的某些参数可以自动调节,有利于改进算法的收敛性能。
短句来源
     In general, it is difficult to choose a proper parameter β for individual problems.
     对于单独的一个问题,我们难以选择一个合适的参数β,因此,我们提出了自适应的交替方向法,这种方法根据每步迭代信息自动地调整参数β。
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  相似匹配句对
     information and benefit.
     信息
短句来源
     Information
     信息
短句来源
     An Information Retrieval Algorithm Based on the Iterative Extraction of Keyphrases
     基于主题词迭代提取的信息检索算法
短句来源
     A FAMILY OF MULTIPOINT ITERATIVE FUNCTIONS WITH INTEGRAL INFORMATIONS
     一族带积分信息的多点迭代函数
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  iterative information
Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID) is a bandwidth efficient transmission, where the bit error rate is reduced through the iterative information exchange between the inner demapper and the outer decoder.
      
This method uses previous multi-step iterative information and curve search rule to generate new iterative points.
      
Using more previous iterative information and curve search rule can make the new method converge more stably than traditional descent methods and be suitable to solve large scale problems.
      
The methods use more previous iterative information than other methods to generate a search direction and use inexact line searches to select a step-size at each iteration.
      
This example highlights the need for consistent performance objectives and iterative information exchange.
      
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A model and a heuristic algorithm for reliabilty op timi zation in generalized stochastic flow networks are proposed in this paper. The stochastic characteristic of the demands at terminal nodes is considered in the model. The algorithm proposed is powerful and can be applied to optimal planning of transmission capacity for large scale stochastic flow networks, because it can facilitate a fast location of optimal capacity expansion from the information obtained by the last iteration by making full use of the...

A model and a heuristic algorithm for reliabilty op timi zation in generalized stochastic flow networks are proposed in this paper. The stochastic characteristic of the demands at terminal nodes is considered in the model. The algorithm proposed is powerful and can be applied to optimal planning of transmission capacity for large scale stochastic flow networks, because it can facilitate a fast location of optimal capacity expansion from the information obtained by the last iteration by making full use of the relationships of the k-weak link set and failure events set to the paramsters in generalized stochastic flow networks

本文提出了广义随机网络可靠性优化数学模型和一种启发式量算容法。模型中考虑了受点需求的随机变化。所提算法充分利用了随机流网络参数变化时k度薄弱环节集和失效事件集变化的规律,能很快从上次迭代的信息得到每次迭代的优化增强最佳位置,因而速度较快,可适用于大型随机流网络传输容量的最优规划之中。

Two aspects on the implementation of adaptive full multigrid FEM are discussed, As a local correction oprator for smoothing process, a single point iteration is constructed. It is also shown that the iteration has global convergent property. MG inverted file is a kind of data structure suitable to the management of informations of iteration and multi-level mesh, which has the advantage of being used for adaptive local refinement.

构造的单点迭代和MG倒排文件,是实现自适应性完全多重网格有限元方法 (AFGF EM)的基础。单点迭代是一种适用于局部校正的平滑过程,具有局部校正功能 和整体收敛性。MG倒排文件是一种适用于管理多层次剖分信息和迭代信息的数据结构, 具有适用于自适应加细和多重网格迭代的优点。

In this paper a new method for the solution of the best uniform approximation on an interval is suggested.It approximates the solution of the best approximation with optimal solutions of a sequence of linear programming. Every iteration makes full use of the information of the preceding iteration,so the amount of calculation can be reduced enormously.The algorithm has some other good properties.

本文给出了一个求区间上最佳一致逼近解的新方法,该方法用一系列线性规划问题的最优解逼近最佳逼近解,每次迭代充分利用了前次迭代的信息,使计算量大大减少,算法具有一些良好的性质。

 
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