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iterative相关的网络例句

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In this paper, an iterative method is established to solve the linear matrix equation $AXB=C$ over generalized bisymmetric $X$.

本文给出了求解矩阵方程AXB=C广义双对称解的迭代解法。

Iterative method; Generalized bisymmetric solution; Least-norm solution; Optimal approximation

迭代解法;广义双对称解;极小范数解;最佳逼近。

For any initial generalized bisymmetric matrix $X_1$, when $AXB=C$ is consistent, we can obtain the generalized bisymmetric solution of the matrix equation AXB=C within finite iterative steps by the iteration method in the absence of roundoff errors; Moreover, the least-norm solution $X^*$ can be obtained by choosing a special kind of initial generalized bisymmetric matrix.

在不考虑机器误差的情况下,当矩阵方程AXB=C相容时,对任意广义双对称X_1,矩阵方程AXB=C的解可以经过有限步迭代得到;特别地,通过选择特殊地初始广义双对称矩阵极小范数解X^*。

Then, the model was resolved using Newton iterative means by importing castigatory gene.

仿真结果表明该识别模型有较好的识别能力和较强的鲁棒性。

In this paper, the convergence of iterative methods for the linear system Ax=b is investigated, where A is a centrosymmetric M-matrix.

主要研究了线性方程组Ax=b的迭代解法的收敛性,其中A为中心对称的M-阵。

Model updating; modal parameter; centrosymmetric; iterative method; least squares problem; quadratic constraint

模型修正;模态参数;中心对称矩阵;迭代法;最小二乘问题;二次约束

Applying the conjugate gradient method, an iterative algorithm is presented to solve the constrained matrix equation AXB+CXD=F over centrosymmetric matrix X and its optimal approximation.

应用共轭梯度思想,给出了求解约束矩阵方程AXB+CXD=F的中心对称解及其最佳逼近的迭代算法。

By this iterative method ,the solvability of the matrix equation can be judged automatically.When the matrix equation is consistent ,then,for any initial centrosymmetric matrix pair ,a centrosymmetric solution pair can be obtained within finite iteration steps in the absence of roundoff errors, and the least norm centrosymmetric solution pair can be obtained by choosing a special kind of initial centrosymmetric matrix pair.

当矩阵方程相容时,对任意初始的中心对称矩阵对在没有舍入误差的情况下,经过有限步迭代,得到它的一个中心对称解,并且,通过选择一种特殊的中心对称矩阵对,得到它的最小范数中心对称解。

Three point registrations and ICP (Iterative Closest Point Algorithm) algorithm are used to register for multi-view data. The angle-and-chord's algorithm is advanced which is based on chordal deviation algorithm for data sampling. The method is proved to be effective and right by some examples.

采用基于参考点的对齐算法和ICP算法实现多视点云的对齐,在弦高差方法的基础上提出一种弦高角度法实现点云数据的精简处理,完成数据精简,实例应用表明所提方法精简效果好,数据的压缩效率高。

We give different kinds of iterative methods of some quaternion matrix equations,and using structure-preserving property for complexification operator of the quaternion matrices,which analysis and character the convergence of various algorithms.

给出了若干类四元数矩阵方程的多种迭代算法,并利用四元数矩阵复表示运算的性质与保结构特性,分析和刻画了各种算法的收敛性。

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