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Levenberg Marquardt Fletcher(LMF)方法实现非线性最小二乘源代码免费下载-Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares p

Levenberg Marquardt Fletcher(LMF)方法实现非线性最小二乘源代码免费下载-Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares p
Levenberg Marquardt Fletcher(LMF)方法实现非线性最小二乘 Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems 2008年08月02日 Matlab

Levenberg Marquardt Fletcher(LMF)方法实现非线性最小二乘 - Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems

这个程序实现了Levenberg Marquardt Fletcher(LMF)算法,并用于非线性最小二乘的计算。用于在一个非线性多项式组成的矛盾/超定方程组中,找到最优的解。Marquardt Fletcher(LMF)算法,并用于非线性最小二乘的计算。用于在一个非线性多项式组成的矛盾/超定方程组中,找到最优的解。
General Least Squares Regression

General Least Squares Regression

用Kalman滤波器实现非线性最小二乘优化参数估计 Nonlinear least square optimization through parameter estimation using the Unscented Kalman Fi

用Kalman滤波器实现非线性最小二乘优化参数估计 Nonlinear least square optimization through parameter estimation using the Unscented Kalman Fi
Nonlinear least square optimization through parameter estimation using the Unscented Kalman Filter 用Kalman滤波器实现非线性最小二乘优化参数估计 2009年04月02日 信息  

Nonlinear least square optimization through parameter estimation using the Unscented Kalman Filter

Nonlinear least square optimization through parameter estimation using the Unscented Kalman Filter
A function using the unscented Kalman filter to perform nonlinear least square nonlinear optimizatio Optimization. "

LMF - Log Monitoring Framework

LMF is a flexible log monitoring framework that watches log files on your system, matching patterns that you specify and taking actions based on match thresholds you configure on a per-pattern basis.

LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems

LMFsolve.m: Levenberg-Marquardt-Fletcher algorithm for nonlinear least squares problems
LMFsolve.m finds least-squares solution of an overdetermined system of nonlinear equations Optimization.... Marquardt, Fletcher, overdetermined, nonlinear least square

LMFnlsq - Solution of nonlinear least squares

LMFnlsq - Solution of nonlinear least squares
Levenberg, Marquardt, Fletcher, least squaresThe function finds a solution of an algebraic nonlinear problem in the least squares sense.

Analytical solution for Orthogonal Linear Least Squares in two dimensions

Analytical solution for Orthogonal Linear Least Squares in two dimensions
ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0     The function returns the Orthogonal Linear Least Squares estimate for parameters of line ax+by+c=0

General Extended Least Square Algorithm

General Extended Least Square Algorithm
another extended algorithm for least square method. the main purpose of this algorithm is to combine both the least square method's and interpolation method's merit into one.

cubic Bezier least square fitting

cubic Bezier least square fitting
Approximation of data using cubic Bezier curve least square fitting Approximations and Interpolation. cubic, Bezier, least, square, fitting, approximation

3D Least squares polynomial fit in x and y

Often, measured data is comprised of N sampled values of z, evaluated at N locations (x,y). With this function, you can calculate the coefficientsy polynomial using a linear least squares approximation.    

Nonlinear fitting n-dimensional data with arbitrary functions

Nonlinear fitting n-dimensional data with arbitrary functions
"nonlinear fit", ND, "n-dimensional data", MLE, "...maximum likelihood parameter estimation problems other than for gaussian noise (least squares). An example is included for Poissonian noise in fit_nl_ex.m.

Partial Least-Squares and Discriminant Analysis

Partial Least-Squares and Discriminant Analysis
Linear Algebra. PLS, PCA, NIPALS,Patial Least-Squares (PLS) is a widely used technique in various areas....a function to perform the PLS regression using the Nonlinear Iterative Partial Least-Squares (NIPALS)

Discrete Least-Squares Rational Approximation

Constructs discrete least-squares rational approximations to data using ...algorithm for solving separable non-linear least-squares problems ... A Full-Newton Approach to Separable Nonlinear Least Squares Problems and

WFIT - weighted least-squares fitting

Weighted least-squares fitting of two (correlated) variables X and Y. Approximations and Interpolation. least squares, curve fitting, maximum likelihood, non-linearity

MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码源代码免费下载-Stable Direct Least Squares Ellipse Fit-Free Source Code

MATLAB实现的一种基于最小二乘的椭圆拟合直接算法源代码 Stable Direct Least Squares Ellipse Fit 2008年05月18日 MATLAB R14SP1

Matlab偏最小二乘法用于判别分析源代码免费下载-PLS(Partial Least-Squares) for discriminant analysis-Free Source Code

Matlab偏最小二乘法用于判别分析源代码免费下载-PLS(Partial Least-Squares) for discriminant analysis-Free Source Code
Matlab偏最小二乘法用于判别分析 PLS(Partial Least-Squares) for discriminant ...这个程序包提供了一个函数,使用非线性迭代偏最小二乘法NIPALS算法,实现PLS回归。同时包含NIPALS算法的教程。 源代码及技术文章下载(尊重版权,

General Least Squares Regression

General Least Squares Regression
The code manually derives the expression fm(x1,x2,x3,...,xk) for   the equally spaced points in (k+1) dimensions, where m is the order of the Multi Dimensional Multivariable Least Squares Regression

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction

Added after previous version   ols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuit  

Orthogonal Least Squares Algorithms for Sparse Signal Reconstruction

OLS - Orthogonal Least Squares: Proposed by T. Blumensath, M. E. Davies   StOLS - Stagewise OLS: Combining StOMP ideas with OLS   ROLS - Regularized OLS: Combining ROMP ideas with OLS MATLAB 7.
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