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shuzhiniheyubijin
- 数值拟合与逼近方面的，包括：最小二乘曲线拟合，切比雪夫曲线拟合，最佳一致逼近多项式里米慈法，矩形域的最小二乘曲面拟合-numerical fitting with the approximation, including : least squares curve fitting, Chebyshev curve fitting, best polynomial approximation centimeters chee, recta
3order_RLS1
- 最小二乘递推算法RLS，利用递推最小二乘法计算Volterra级数的核-recursive least squares algorithm RLS using recursive least squares method Volterra series of nuclear
fitqr
- 基于矩阵QR分解的最小二乘拟合MATLAB源程序-based on QR decomposition of the matrix least squares fitting MATLAB source
PLSmodel
- 偏最小二乘回归建模分析程序，在matlab里面运行，是较新的一种统计分析方法，较以往的分析方法相比有很多优点-partial least squares regression modeling analysis procedures, the operating inside Matlab, it is a relatively new statistical analysis method, compared to the previ
05040031
- 文件包含有5项内容： 一、扩展卡尔曼滤波EKF 二、去偏转换卡尔曼滤波CMKF 三、最小二乘拟和的方法 四、最小二乘、EKF、CMKF的比较 五、野值剔除算法 用MATLAB实现了这些具体算法和要求 -document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kal
Linearfitting
- 直线拟合的几种算法，其中包括线性最小二乘，和两种不同目标函数的非线性最小二乘，用于比较这些方法的优劣，另外matlab中说的robust least squares方法没有找到，希望有朋友能给穿一下：）-Several linear fitting algorithm, which includes linear least squares. and two different objective function of the non
nlinfit
- 非线性最小二乘算法，矩阵和向量类为自己编写，用数组代替也可以-nonlinear least-squares algorithm, matrix and vector category for their preparation, with the array can be replaced
zengguangzuixiaoercheng
- 增广最小二乘的matlab算法，简单易学。注释完全，可以很好理解算法。-broaden the Matlab least-squares algorithm is easy. Notes entirely, a good understanding of algorithms.
AR(5)
- 利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。-use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results.
LeastSquare
- 用C写的可以实现求解满秩线性方程组以及最小二乘曲线拟合的函数-written in C can be achieved full rank solving linear equations and least-squares curve fitting the function
Householder
- Householder法求解最小二乘问题。可以避免常规方法遇到奇异矩阵(即行列式|A|接近零)时误差太大的问题。本方法的精度非常高。-Householder method least squares problems. Avoid conventional methods encountered singular matrix (that is determinant | A | close to zero) error much of
Regpyrim
- 使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.
Nlinear-PLS
- 一种新的基于多项式的非线性偏最小二乘算法-a new polynomial based on the nonlinear partial least squares algorithm
LSM_Match
- 最小二乘匹配，图像匹配算法，需要初始匹配坐标，可以达到亚像素精度-least squares matching, image matching algorithm, the initial need to match coordinates, can reach sub-pixel accuracy
zsysf
- 用MATLAB编写的递推最小二乘算法算法\LMS算法,karlman算法-using MATLAB recursive least squares algorithm \ LMS algorithm, the algorithm karlman
EOM
- 拉格朗日插值多项式拟合,牛顿插值多项式,欧拉方程解偏微分方程,使用极限微分求解导数（微分）,微分方程组的N=4龙格库塔解法,雅可比爹迭代法解方程AX=B,最小二乘多项式拟合,组合辛普生公式求解积分,用三角分解法解方程AX=B-Lagrange interpolation polynomial fitting, polynomial interpolation Newton, Euler equations partial differe
45699GAtools
- 好用的。系统辨识中，递推最小二乘估计（RLS）是辨识模型阶次的一个重要的算法。该程序通过实现该算法，得到模型阶次的估计值以及相关参数值。 -refrain. System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. The procedu
svdfit
- 通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition-through the singular value decomposition of the least squares fitting algorithm inear least-squares fit by singular value decomposition
FittingApproximationliuying
- 拟合与逼近头文件， 最小二乘曲线拟合。-fitting with the first approximation documents, least squares curve fitting.
svmkp
- 这是一个用于计算最小二乘支持向量机的函数.很有用.-used to calculate the least squares support vector machine function. Very useful.