A convergence estimate and approximation for a kind of parabolic variational inequality is discussed.
本文讨论了一类抛物型变分不等式的近似收敛问题。
We estimate the convergence rate of this method and give its monotone convergence theorems.
我们对这类算法的收敛速率做了估计，最后还给出了其单调收敛定理。
This method can estimate convergence speed conveniently according to the reaction function of participators.
并且可以方便地通过局中人之间反应函数的性质估计收敛速度。
The simulation results show the approach can be easily carried out and has the rapid convergence rate, which can estimate the biases of single maneuvering sensor.
仿真结果表明，该方法实现简单，收敛速度快，可以实现单部动基座传感器的偏差估计。
Specifically, the convergence rate of coefficient estimate is obtained in constant amplitude case.
特别地，对于常数振幅情形，得到了多项式系数估计的强收敛速度。
For solving the linear system with the iterative method, it is very important to estimate the spectral radius of the iterative matrices and give the convergence analysis.
在用迭代法求解线性方程组时，迭代矩阵的谱半径估计及其收敛性分析是非常重要的。
Finally, the convergence rate estimate of global convergence GA is obtained.
得到了全局收敛GA的收敛速度估计。
We discussed the problems of convergence by norm of a matrix, obtaining the formulation of error estimate and the conditions of convergence in requesting the solutions by iterative method.
利用矩阵的范数讨论了矩阵的收敛问题，得出了迭代法求解时的收敛条件及误差估计。
A theoretical consideration to estimate the convergence conditions in learning control process is proposed in accordance with the limit condition of a geometric series.
并提出了一种基于几何级数的极限条件估计学习控制过程收敛条件的理论方法。
First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.
首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计，并讨论了该估计的性质，给出了收敛速度。
The convergence of the iterative method is proved under some conditions, and an error estimate formula is presented.
在给定条件下，证明了该迭代法的收敛性，并给出了误差估计式。
In this paper, a kind of rational interpolation method is given. Its error estimate and recurrence algorithm are also obtained. Numerical test shows that the convergence of this method is good.
本文研究了二元有理插值逼近，给出一种逼近方法及该方法的递推算法、误差估计和实例。
To solve the nonlinear finite difference scheme, an accelerated monotone iterative method is presented, and the explicit estimate for the rate of convergence is given.
为了求解非线性差分格式，本文建立一种加速单调迭代算法，并给出精确的收敛率估计。
By fine estimate for high order discrete Green function, it is more convenient to study the optimal super-convergence of high order rectangular finite element.
通过对高阶离散函数的一些精致估计，为高次矩形元的最佳超收敛性研究提供了有力的工具。
Estimate-convergence graph for software development, taken from Lecture 3, entitled "Software Schedule Estimation, " in the lecture notes section. (Image courtesy of MIT OCW. )
软体开发的预估收敛图， 取自课堂讲稿第三课，讲题为「预估软体开发的时程」。（图片由麻省理工学院「开放式课程网页」提供）
Estimate-convergence graph for software development, taken from Lecture 3, entitled "Software Schedule Estimation, " in the lecture notes section. (Image courtesy of MIT OCW. )
软体开发的预估收敛图， 取自课堂讲稿第三课，讲题为「预估软体开发的时程」。（图片由麻省理工学院「开放式课程网页」提供）
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