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- Each iteration step poseses a typical least square problem with a unique closed solution, hence there is no error propagation as the ACDC algorithm. 且每步迭代具有精确的最小二乘闭式解,消除了ACDC算法的误差积累问题。
- The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation,which can be solved by singular value decomposition. 然后将其与地震子波褶积,使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程,并采用奇异位分解法求解。
- Two methods solving non-linear least square problem 解决非线性最小二乘问题的两种方法
- A structured p step Newton algorithm for nonlinear least square problems is developed. The efficiency of the algorithm is analysed. For zero residual problem its convergence rate is q 2 order, which is the same with that of Newton algorithm. 给出了非线性最小二乘问题的结构 p步牛顿算法 ,分析了该算法的效率 ,结果表明 ,对零残差问题新算法具有 q- 2阶收敛速率 ,与牛顿法具有相同的收敛速率 ,由于新算法只需计算近似海赛矩阵 ,所以 ,其效应比牛顿法高 ;
- Firstly, the general 3-dimentsional localization problem as a least squares problem on the Euclidean group is stated. 首先,提出了广义三维定位问题作为一个欧几里德群上的最小二差乘问题。
- Preconditioning;GAOR iterative method;GTOR iterative method;Weighted linear least squares problem;Linear system;Convergence. 预处理; GAOR方法; GTOR方法; 线性系统;最小二乘问题; 收敛速度.
- The GSOR method for the least squares problems involves a parameter and an anxilary matrix P,operotion of matrix and vector. 在求解最小二乘问题的广义超松驰方法(GSOR)中,主要涉及到预条件矩阵P的选取,加速参数的选取以及矩阵向量计算。
- Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things. Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题,另外还有其它功能。
- rank deficient linear least squares problem 亏秩线性最小二乘问题
- In this dissertation, we mainly study numerical properties/algorithms and roundoff error estimates related to least squares problems, as mentioned in the following sections:1. 本文,我们主要研究与最小二乘问题相关的数值算法和舍入误差估计。
- equality constrained least squares problem 最小二乘
- indefinite least squares problem 不定最小二乘问题
- symbolic mathematics least squares problem 非线性最小二乘问题
- C1 is obtained using the least square method. C1 被获得使用最没有正直的方法。
- Algorithm gor least square fit curve. 最小二乘法拟合曲线的算法-
- This paper considers nonlinear least squares problems,connecting new quasi-newton equations which has a higher-order curvature approximation with factorized quasi-newton method which is symmetric. 本文考虑非线性最小二乘问题,将具有更高的二阶曲率逼近的新拟牛顿方程和具有对称性的针对非线性最小二乘问题的分解方法结合起来。
- Structured p-step Newton Algorithm for Nonlinear Least Square Problems 非线性最小二乘问题的结构p步牛顿法
- An error analysis of a hybrid method for the least squares problem 解最小二乘问题的一种混合方法的误差分析
- equality con-strained indefinite least squares problem 等式约束不定最小二乘问题
- They serve those little square burgers. 供应那些方形的汉堡。
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