迭代法

In this paper, we will prove the existence and uniqueness of solutions for singular boundary value problems of differential equations by using the mixed monotone method.

本文利用混合单调迭代法来证明几种奇异微分方程边值问题解的存在唯一性。

In chapter 3, as one of the main parts of this thesis, by using the mixed monotone method, we discussed the existence and uniqueness of singular elliptic boundary value problems.

第三章我们将用混合单调迭代法来证明奇异椭圆微分方程边值问题解的存在唯一性。

A four-point algorithm is presented in this paper for finding the least-squares solution of R and T,which is based on the singular value decomposition of matrix,and the derivation of the algorithm is provided too.

本文提供一种基于矩阵单值分解求解R和T的最小二乘解的四点算法，并对算法进行了推导，该算法与迭代法相比，具有速度快、用点少的优点，尤其适用于实际应用的颅脑手术可视化系统。

The free surface of the flow can be obtained from the discrete solution of the free surface flow equation.

建立了三维水流大涡模拟数学模型，采用迭代法求解速度和压力，再由离散化的自由水面运动方程求解自由水面；根据试验观测的水面线和流速分布资料，对数学模型进行验证。

And the new rule can simulate the error level of the righthand in the linearized equation nicely. Combine the new stopping rule and using the implicit iterative method in the inner iteration, we get a new method.

这个新的准则结合在内层采用隐式迭代法，由此得到的新方法与Tikhonov方法和Bakushinskii方法进行了比较，结果显示了该方法的优越性。

Based on analysis of numerical methods to solve seepage free surface, global composite element iteration is presented in this paper.

基于对渗流自由面数值求解方法的分析，提出了复合单元全域迭代法，并编制了有限元计算程序。

The solution group such as symmetric, skew-symmetric, centrosymmetric, centroskew symmetric, reflexive, antireflexive, bisymmetric or symmetric and antipersymmetric are successfully found.

构造了一种迭代法系统地研究了问题Ⅴ的一般解组、对称解组、中心对称解组、自反矩阵解组、双对称解组、对称次反对称解组及其最佳逼近等问题，并成功地解决了这些问题。

This method is based on tensor and tensor algebra. To utilize the multidimensional data of the remote sensing image, the vector-based learning machine is generalized to the tensor-based learning machine which accepts tensors as input, then the convex optimization theory and the alternating projection procedure are used to get the solution of the TLM.

该方法基于张量数据模型和张量代数运算，针对遥感影像数据多维或高维的特点，将基于向量的监督法学习机扩展为基于张量的监督法学习机，然后利用凸函数最优化理论和交互投影迭代法求得张量学习机的最优解。

With a threshold method in the frequency domain, noise affecting fringe peak′s location can be eliminated.

最后结合目标重构迭代法阐述了闭合相位在像重构中的作用。

Transcendental function ; root ; iteration method ; convergence

超越函数；根；迭代法；收敛性

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。