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- 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.
- rank deficient linear least squares problem 亏秩线性最小二乘问题
- the rounding error analysis of elimination;the orthogonal decompositions for solving linear least squares problem;and some classical methods for eigen-problems. 刚性问题和微分代数问题来源于科学计算的各个方面(如物理、化学、生物、控制工程、电网分析及力学系统)。
- This paper presents the Nonnegative linear least square method of MATLAB-a quick and precise method of calculating mineral contents of detrital rocks with some examples. 通过实例介绍了使用MATLAB工具箱中非负线性最小二乘法根据岩石化学与镜下观察到的矿物种类对碎屑沉积岩中矿物含量进行定量计算的应用。
- 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。
- Semiconvergence of AOR Iterative Methods for Solving the Rank Deficient Linear Least Squares Problems 亏秩线性最小二乘问题的AOR迭代法的半收敛性
- 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。
- THEORIES ANALYSIS OF LINEAR LEAST SQUARE METHOD 线性最小二乘问题解法的理论分析
- Aitken's linear least square method 艾特肯线性最小平方法
- singular linear least square method 奇异线性最小平方法
- linear least square support vector machines(LLSSVM) 线性最小平方支持向量机
- Aitken rs linear least square method 艾特肯线性最小平方法
- 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。
- With the theoretical and practical data analysis, it compares the nonlinear least square method (NLS)with the logarithmic linearization least square method (LLLS). 通过理论和实例分析，将非线性最小二乘(NLS)法与常用的对数线性化最小二乘(LLLS)法进行比较。
- 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 ;
- 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。
- singularity decomposition linear least square method 奇异分解线性最小二乘法
- 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。
- 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。
