您要查找的是不是：
- 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(xiàn)性系統;最小二乘問(wèn)題; 收斂速度.
- rank deficient linear least squares problem 虧秩線(xiàn)性最小二乘問(wèn)題
- the rounding error analysis of elimination;the orthogonal decompositions for solving linear least squares problem;and some classical methods for eigen-problems. 剛性問(wèn)題和微分代數問(wèn)題來(lái)源于科學(xué)計算的各個(gè)方面(如物理、化學(xué)、生物、控制工程、電網(wǎng)分析及力學(xué)系統)。
- 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. 通過(guò)實(shí)例介紹了使用MATLAB工具箱中非負線(xiàn)性最小二乘法根據巖石化學(xué)與鏡下觀(guān)察到的礦物種類(lèi)對碎屑沉積巖中礦物含量進(jìn)行定量計算的應用。
- Each iteration step poseses a typical least square problem with a unique closed solution, hence there is no error propagation as the ACDC algorithm. 且每步迭代具有精確的最小二乘閉式解，消除了ACDC算法的誤差積累問(wèn)題。
- Semiconvergence of AOR Iterative Methods for Solving the Rank Deficient Linear Least Squares Problems 虧秩線(xiàn)性最小二乘問(wèn)題的AOR迭代法的半收斂性
- 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. 然后將其與地震子波褶積，使其求解結果與實(shí)際地震數據的最小平方問(wèn)題歸結為求解一大型稀疏矩陣方程，并采用奇異位分解法求解。
- THEORIES ANALYSIS OF LINEAR LEAST SQUARE METHOD 線(xiàn)性最小二乘問(wèn)題解法的理論分析
- Aitken's linear least square method 艾特肯線(xiàn)性最小平方法
- singular linear least square method 奇異線(xiàn)性最小平方法
- linear least square support vector machines(LLSSVM) 線(xiàn)性最小平方支持向量機
- Aitken rs linear least square method 艾特肯線(xiàn)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,提出了廣義三維定位問(wèn)題作為一個(gè)歐幾里德群上的最小二差乘問(wèn)題。
- With the theoretical and practical data analysis, it compares the nonlinear least square method (NLS)with the logarithmic linearization least square method (LLLS). 通過(guò)理論和實(shí)例分析，將非線(xiàn)性最小二乘(NLS)法與常用的對數線(xiàn)性化最小二乘(LLLS)法進(jìn)行比較。
- Two methods solving non-linear least square problem 解決非線(xiàn)性最小二乘問(wèn)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(xiàn)性最小二乘問(wèn)題的結構 p步牛頓算法 ,分析了該算法的效率 ,結果表明 ,對零殘差問(wèn)題新算法具有 q- 2階收斂速率 ,與牛頓法具有相同的收斂速率 ,由于新算法只需計算近似海賽矩陣 ,所以 ,其效應比牛頓法高 ;
- 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可以解稠密或稀疏線(xiàn)性方程組、計算特征值和特征向量和解最小平方問(wèn)題,另外還有其它功能。
- singularity decomposition linear least square method 奇異分解線(xiàn)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. 在求解最小二乘問(wèn)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。
- 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(wèn)題相關(guān)的數值算法和舍入誤差估計。
