迭代法

In the predicted process, the forward simplification is used to get the interface equation, meanwhile taking the voltage of the concentrated grid as control vector to solve the control step length; in the correction process, by means of forward simplification and back substitution the Newton linearization incremental equations of both concentrated computational grid and contracted nodes are solved alternately.

进行计算时，通过前向简化形成预估环节的接口方程，同时以浓缩网络的电压为控制电压向量求出控制步长；校正环节通过双向迭代方法交替实现对浓缩网络和收缩节点的牛顿法线性增量方程的求解。

In this paper, an extended divide and conquer algorithm is intended proposed, which is for solving the real symmetric band generalized eigenvalue problem under distributing environment Eigenvalue partition theorem is presented and proved Based on divide and conquer by extension, this algorithm computes generalized eigenpaires of symmetric band matrix pencil by bisection and generalized Rayleigh quotient iteration Theoretic analysis and numerical results show that this algorithm is better than the classic software package LAPACK when bandwidth is small and the scale is large Combined with multisection, which has good parallelism, it got good effects under distributed environments

提出了分布式环境下计算对称带状广义特征值问题的一种扩展分治算法，给出了特征值分割定理及其证明算法在扩展分治的基础上，利用二分压缩结合广义Rayleigh商迭代计算广义特征对理论分析和数值实验表明，对于窄带宽大规模的广义特征值问题，该分治算法明显优于LAPACK软件包结合并行性好的多分法，在分布式环境下获得了很好的并行效果1 引言本文研究了对称带状广义特征值问题Ax =λBx ( 1)的并行计算，其中，A ，B均为半带宽为r的n阶实对称带状矩阵且其中之一是正定的本文总假设B是正定的求解此问题有两种传统方法，第1种方法是通过计算矩阵B的Cholesky分解，将问题( 1)转化为标准特征值问题[1～3] ，进一步

Finally, the dispersive characteristics are analyzed to demonstrate the efficiency of real variable Compact 2D FDTD method and Blackman Window Function.

通过微带色散特性的分析，表明用实变量Compact 2D FDTD法与Bhckman窗函数，只需要较少的迭代就可以得到比较好的结果。

Moreover, it makes the coefficient matrix of centralized IPM's linear correction equation a block diagonal bordered matrix, which can be decomposed into the constraints equation on internal variables of independent sub-areas and coupled constraints equation. During each IPM iteration, internal variables and coupled variables are solved distributedly; thus distributed algorithm of multi-area ORPF is implemented.

在此基础上，论文将该线性方程分解为相互独立的子区域内部约束方程和复制节点的耦合约束方程，在每次内点法迭代中分布分块求解内部变量和耦合变量，从而实现多区域无功优化的分布式计算。

The optimization algorithms are commonly used to approach the minima of the roundness objective functions through iteration when a microcomputer is applied to assess roundness errors by minimum zone, minimum circumscribed circle, and maximum inscribed circle methods.

引言在用计算机求最小区域、最小外接圆和最大内切圆评定法求圆度误差时，广泛采用最优化算法，通过迭代去逼近目标函数的极小值。

Based on the condensability of liquid,the structure used in multi-axis force sensor of underwater robot aimed at balancing hydraulic pressure was investigated and an iteration algorithm used to calculate the pressure difference between in and out of the sensor was put forward,which applied the pressure balance method of film .

以水下机器人所用多轴力传感器的压力平衡结构为研究对象，基于液体的可压缩性，提出了膜片式压力平衡传感器内外压力差的迭代算法，推导出了膜片式压力平衡法的内外压力差、额外轴向力及相关公式。

On the other hand, an iterative hard shrinkage algorithm is obtained by using the generalized conditional gradient method, as well as convergent theorems for Solutions and stopping criterion.

此外，利用广义条件梯度法得到了迭代硬阈值算法，并给出了解的收敛性定理和停止准则。

The initial value of the convergence half angle in the iterative synthesis is discussed and a more logical function is given for assigning it.

对轴对称收敛型电子枪设计方法进行了整理分析，就阴极半锥角的初始值对迭代综合法的收敛性能所产生的影响进行了讨论，针对低压缩比条件下原来的Vaughan公式失效的问题进行了分析，给出了更为合理的初始值计算公式。

In this paper, we give a new class of adaptive nonmonotone spectral projected gradient technique for convex constrained optimization.

该文给出了求解凸约束优化的一类新的自适应非单调谱投影梯度法，主要思想是通过引入具有自适应性的权重参数，使算法在迭代过程中能自动调节非单调策略。

A complex thermal optimal mathematical model and a numerical iterative calculation method of multi-parameter function coordinate transformation are developed.

作者创造性地提出了迄今在理论上最为完整的溴化锂吸收式机组热力优化设计计算数学模型以及基于多元函数坐标轮换法的数值迭代计算方法。

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。