收敛速度

词组短语

rate of convergence · convergence rate

与收敛速度相关的网络例句 [注：此内容来源于网络，仅供参考]

I. d. Bernoulli random variables. First, we can get the upper bound with order from Chebyshev inequality. Second, a better upper bound was gotten with the new inequalities, which can fasten the convergence rate.

并对服从两点分布的独立随机变量X1，X2，…，X进行研究，首先利用Chebyshev不等式得到随机变量偏离方差ES的上界，但它只有阶的收敛速度，然后利用新的不等式得到一个新的上界，它有更快的收敛速度，这在探讨收敛速度时有着重要的理论意义。

As a result, it shows thatthe static or dynamic subsystem optimum alone is not equal to the system optimum. Three initial value problems met in the optimal design of flying vehicle are studied andconclusions are derived that: orthogonal test method can be adopted to decide the initial valueof static optimization problem, some mathematical techniques can be used to deal with thecostate variables of Maximum Principle and decide the initial value of the costate variable,the indirect method can be used to get the analytical solution under ideal case to guide thechoice of the initial control curve in the direct method. With some numerical examples oftrajectory optimization, it shows that all these methods are useful not only in accelerating theconvergence but also in converging to the global optimum.

针对飞行器优化设计中的三种初始值问题进行了研究，以远程弹道导弹弹道的工程优化为例说明，对于静态优化问题，采用正交试验法选取初始值，不仅可以大大加快收敛的速度，而且更有可能收敛到全局最优解；以气动力辅助变轨问题为例说明，用共态变量的一阶泰勒级数展开可以解决极大值原理中共态变量初值难于确定的问题；以二级弹道导弹的主动段弹道优化为例说明，利用间接法在理想情况下得到的解析解来指导直接法初始控制曲线的选择，将大大有利于提高直接法的收敛速度。

However, since the fixed-point calculation maybe cause cumulative quantization error, the convergent performance of fixed-point equalizer is not better than that of floating-point equalizer.

但由于定点数运算会引起量化累积误差，均衡器的收敛速度比浮点数运算均衡器的收敛速度要慢，收敛后的稳定性也较差。

Combining NA samples the EB estimation with convergence rates is also obtained; Thirdly, for one-parameter exponential distribution family, we give the parameters' EB estimator that is admissible and asymptotically optimal with convergence rates. Finally, Bayesian and hierarchical Bayesian approaches are applied to analyze the reliability performances for series system with cold standby units and the numerical simulation results show that multiple Bayes estimator is superior to Bayes estimator.

其次，针对一类双边截断分布族，在非对称linex损失下构造了经验Bayes决策函数，建立了它的收敛速度，给出了渐近最优的证明；并结合NA样本研究了参数的经验Bayes估计及其收敛速度；接着给出了指数族参数的经验Bayes估计，证明了它是渐近最优的，也是可容许的，同时也获得了该EB估计的收敛速度；最后，运用Bayes与多层Bayes方法研究了具有冷贮备部件串联系统的可靠性指标的估计，并给出了数值模拟结果，结果表明多层Bayes估计优于Bayes估计。

This grey method is an analysis one for small sample finite sequence, which can be used for judging the convergence rate of a convex-concave sequence, or an irregular curve sequence, or several irregular curve sequences, and for comparing one with another, and can be also employed in other field.

该灰色方法是一个有限序列小样本的分析方法，它不仅可以用于凸凹单个序列的收敛速度判断，也可以用于一般情况的单个序列的收敛速度判断，而且，它还可以用于多个序列的收敛速度判断和相互比较，以及在其它领域的数值分析。

For the original infinite dimensional problem, if the inexact quasi-newton method with Broyden updating can not converge quickly , for example, it can not attain super linear convergence rate , then when the discretization is becoming finer and finer , we can not get fast convergence rate for the corresponding finite dimensional problem.

对于原来的无限维问题，如果使用不精确Broyden方法不能得到较快的收敛速度，比如超线性收敛性，那么当离散化逐渐加细的时候，对于所得的有限维问题使用不精确Broyden方法也不可能得到较快的收敛速度，所以有必要在无穷维空间上对收敛性问题加以分析，从而为不精确拟牛顿法结合投影法求解算子方程做好准备。

The reconstruction problem is ill-posed, so two optimal criterions, the least module and the smoothness criterion base on Tikhonov regularization technique, are introduced into reconstruction algorithm. Many regularization parameters choice strategies are investigated, and the TPA(Two—Parameter Algorithm) strategy which is based on the Morozov discrepancy principles, is implemented in two regularization reconstruction algorithms.Numerical experiment results show that the nonnegative and smoothness constraint condition can overcome the difficulty of iteration semiconvergent, preconditioned technique can improve convergence rate and reconstruction accuracy, smoothness regularization criterion can meliorate ill-posed problem of reconstruction and enhance iteration stability, and the TPA is an effective strategy of regularization parameters choice.

数值试验表明：在共轭梯度法中引入非负约束和光滑约束改善了迭代的"半收敛"性，非负约束保证了解的非负性，光滑约束抑制了重建解的振荡现象，约束算法的重建精度与无约束算法相比大幅度提高；在约束共轭梯度重建算法中引入预优技术，可以加快算法的收敛速度，提高迭代的稳定性和重建精度；引入光滑准则的正则化技术可以有效改善图像重建问题的不适定性，加快迭代的收敛速度，提高迭代的稳定性和图像重建质量，计算正则参数的TPA算法在闪光照相图像重建中是有效的。

First,we proposes the acceleration of Monte Carlo EM Algorithm,which is based on Monte Carlo EM Algorithm and Newton-Raphson algorithm,to improve the convergence rate;Second,the it is shown that the accelerated EM algorithm we proposed has quadratic convergence rate in a neighborhood of the posterior mode;Finally,its excellent performance in convergence rate is illustrated by a classical example.

受Monte Carlo EM算法与EM加速算法启发，本文构造了一种新的EM算法，称为Monte Carlo EM加速算法；证明了该算法在似然函数/后验分布的众数的附近确实具有二次收敛速度，改进了Monte Carlo EM算法的收敛速度；并通过一个数值例子的计算结果说明了该算法的优良性，它兼具实现简单及收敛速度快的特点。

Then, the convergence and convergence rate of three kinds of GA above are analyzed comprehensively from the point of view of stochastic matrix and matrix eigenvalue. The general convergence analysis methods of GA by Markov chains are presented and the convergence rates are discussed emphatically.

然后，利用有限Markov链从随机矩阵和矩阵特征值两个角度全面分析了上述三种类型GA的收敛性和收敛速度，给出了利用Markov链分析GA收敛性的通用方法，重点讨论了它们的收敛速度问题。

Firstly,based on the B.Bowermans result about the rate of convergence in Cesaro sense of certain nonhomogeneous Markov chains which the transition matrices converge,we are to study a certain nonhomogenous Markov chains which the transition matrices average converge to a period strongly ergodic stochastic matrice,and control the average convergenc rate of transition matrices,then we get the rate of convergence in Cesaro sense about the nonhomogeneous Markov chains by used the character of norm and the character of nonhomogeneous Markov chains.It is an extension of a B.

首先在B.Bowerman等人研究转移矩阵列收敛的一类非齐次马氏链，其Cesaro平均收敛的收敛速度基础上，研究转移矩阵列平均收敛到一周期强遍历随机矩阵的一类非齐次马氏链，通过控制转移矩阵列平均收敛的收敛速度，利用矩阵范数的性质、非齐次马氏链的相关性质等，得到该非齐次马氏链转移矩阵Cesaro平均收敛的收敛速度，是B。

与收敛速度相关的网络解释 [注：此内容来源于网络，仅供参考]

asymptotic convergence rate：渐近收敛速度

asymmetrical network 不平衡网络,不对称网络 | asymptotic convergence rate 渐近收敛速度 | asynchronous 异步平衡模式

Asymptotic Optimal Convergence Rate：渐近最优收敛速度

解的整体性态:global asymptotic behavior of solutions | 渐近最优收敛速度:Asymptotic Optimal Convergence Rate | 最坏情况渐进性能比:Asymptotic worst-case performance ratio

asymptotic rate of convergence：渐近收敛速度

asymptotic point 渐近点 | asymptotic rate of convergence 渐近收敛速度 | asymptotic series 渐近级数

convergence radius：收敛半径

convergence principle 收敛原理 | convergence radius 收敛半径 | convergence rate 收敛速度

Konvergenzradius radius of convergence：收敛半径

Konvergenzordnung rate of convergence; order of convergence 收敛速度;收敛的阶 | Konvergenzradius radius of convergence 收敛半径 | konvex convex 凸的

Konvergenzordnung rate of convergence; order of convergence：收敛速度;收敛的阶

Konvergenzkriterium convergence criterion 收敛性判别 | Konvergenzordnung rate of convergence; order of convergence 收敛速度;收敛的阶 | Konvergenzradius radius of convergence 收敛半径

rapidity of convergence：收敛速度

ranging 测距 | rapidity of convergence 收敛速度 | rare earth chelate 稀土螯合物

rate of convergence：收敛速度

rate 值 | rate of convergence 收敛速度 | ratio 比

Constructive distribution-independent bound on the rate of convergence：构造性的不依赖于分布的收敛速度界

Consistency of inference 推理的一致性 | Constructive distribution-independent bound on the rate of convergence 构造性的不依赖于分布的收敛速度界 | Convolution of inner production 内积回旋

bounds on rate of uniform convergence：一致收敛速度的界

动态响应上下界:Upper and lower bounds of dynamics responses | 一致收敛速度的界:bounds on rate of uniform convergence | 简单界约束优化:optimization with simple bounds