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。
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。
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。
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。
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。
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。
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。
应用推荐