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- Firstly, the general 3-dimentsional localization problem as a least squares problem on the Euclidean group is stated. 首先,提出了廣義三維定位問題作為一個歐幾里德群上的最小二差乘問題。
- Preconditioning;GAOR iterative method;GTOR iterative method;Weighted linear least squares problem;Linear system;Convergence. 預處理; GAOR方法; GTOR方法; 線性系統;最小二乘問題; 收斂速度.
- rank deficient linear least squares problem 虧秩線性最小二乘問題
- equality constrained least squares problem 最小二乘
- The GSOR method for the least squares problems involves a parameter and an anxilary matrix P,operotion of matrix and vector. 在求解最小二乘問題的廣義超松馳方法(GSOR)中,主要涉及到預條件矩陣P的選取,加速參數的選取以及矩陣向量計算。
- indefinite least squares problem 不定最小二乘問題
- symbolic mathematics least squares problem 非線性最小二乘問題
- 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可以解稠密或稀疏線性方程組、計算特徵值和特徵向量和解最小平方問題,另外還有其它功能。
- 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,我們主要研究與最小二乘問題相關的數值演算法和舍入誤差估計。
- Each iteration step poseses a typical least square problem with a unique closed solution, hence there is no error propagation as the ACDC algorithm. 且每步迭代具有精確的最小二乘閉式解,消除了ACDC演算法的誤差積累問題。
- 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. 本文考慮非線性最小二乘問題,將具有更高的二階曲率逼近的新擬牛頓方程和具有對稱性的針對非線性最小二乘問題的分解方法結合起來。
- An error analysis of a hybrid method for the least squares problem 解最小二乘問題的一種混合方法的誤差分析
- equality con-strained indefinite least squares problem 等式約束不定最小二乘問題
- 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. 然後將其與地震子波褶積,使其求解結果與實際地震數據的最小平方問題歸結為求解一大型稀疏矩陣方程,並採用奇異位分解法求解。
- Solving Linear & Nonlinear Least Squares Problems 解線性與非線性最小二乘問題
- Two methods solving non-linear least square problem 解決非線性最小二乘問題的兩種方法
- 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. 給出了非線性最小二乘問題的結構 p步牛頓演算法 ,分析了該演算法的效率 ,結果表明 ,對零殘差問題新演算法具有 q- 2階收斂速率 ,與牛頓法具有相同的收斂速率 ,由於新演算法只需計算近似海賽矩陣 ,所以 ,其效應比牛頓法高 ;
- Least squares in linear models II. 線性模型中的最小二乘法2。
- The ABS Methods for Nonlinear Least Squares Problems 解非線性最小二乘問題的ABS方法
- A direct solution method for generalized nonlinear dynamic least squares problem 廣義非線性動態最小二乘問題的一個直接解算方法