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Least-squares

最小二乘法(least squares analysis)是一種數(shù)學(xué) 優(yōu)化技術(shù)

最小二乘法(least squares analysis)是一種數(shù)學(xué) 優(yōu)化技術(shù)，它通過最小化誤差的平方和找到一組數(shù)據(jù)的最佳函數(shù) 匹配。最小二乘法是用最簡的方法求得一些絕對不可知的真值，而令誤差平方之和為最小。最小二乘法通常用于曲線擬合 (least squares fitting) 。這里有擬合圓曲線的公式推導(dǎo)過程和 vc實(shí)現(xiàn)。

標(biāo)簽： analysis squares least 最小二乘法

上傳時間： 2016-09-06

上傳用戶：cuibaigao
Least-squares searching for receiver position.Given 4 or more pseudoranges and ephemerides.

Least-squares searching for receiver position.Given 4 or more pseudoranges and ephemerides.

標(biāo)簽： Least-squares pseudoranges ephemerides searching

上傳時間： 2013-12-28

上傳用戶：亞亞娟娟123
加權(quán)最小二乘法&最大最小化優(yōu)化算法 weighted Least-squares + weighted min-max optimization

加權(quán)最小二乘法&最大最小化優(yōu)化算法 weighted Least-squares + weighted min-max optimization

標(biāo)簽： weighted Least-squares optimization min-max

上傳時間： 2014-01-07

上傳用戶：stella2015
盲自適應(yīng)算法--遞推最小二乘恒模算法Recursive Least Squares Constant Modulus Algorithm for Blind Adaptive Array

盲自適應(yīng)算法--遞推最小二乘恒模算法Recursive Least Squares Constant Modulus Algorithm for Blind Adaptive Array

標(biāo)簽： Recursive Algorithm Constant Adaptive

上傳時間： 2014-06-30

上傳用戶：helmos
a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm

a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm

標(biāo)簽： Levenberg-Marquardt implementation copylefted non-linear

上傳時間： 2013-12-15

上傳用戶：大三三
contains documents about new insights into the recursive least squares algorithm and a sample matlab

contains documents about new insights into the recursive least squares algorithm and a sample matlab code for rls algorithm

標(biāo)簽： algorithm documents recursive contains

上傳時間： 2017-04-13

上傳用戶：我干你啊
Stepwise least squares estimation of multivariate AR model

Stepwise least squares estimation of multivariate AR model

標(biāo)簽： multivariate estimation Stepwise squares

上傳時間： 2017-05-17

上傳用戶：pinksun9
建立了一種基于移動最小二乘(Moving Least-squares MLS)法的曲線曲面擬合方法這種方法對傳統(tǒng)的最小二乘(LS)法的作了比較大的改進(jìn)使生成的曲線曲面具有精度高光滑性好等許多優(yōu)

建立了一種基于移動最小二乘(Moving Least-squares MLS)法的曲線曲面擬合方法這種方法對傳統(tǒng)的最小二乘(LS)法的作了比較大的改進(jìn)使生成的曲線曲面具有精度高光滑性好等許多優(yōu)點(diǎn)詳細(xì)介紹了移動最小二乘法的原理應(yīng)用和特點(diǎn)并且給出了使用移動最小二乘法進(jìn)行曲線曲面擬合的程序設(shè)計流程最后給出了曲線擬合和空間散亂數(shù)據(jù)曲面擬合算例將擬合結(jié)果與最小二乘擬合結(jié)果作了比較分析了MLS 擬合曲線曲面的光滑性和擬合質(zhì)量表明了該方法的優(yōu)越性和有效性

標(biāo)簽： Least-squares Moving MLS LS

上傳時間： 2017-07-02

上傳用戶：xc216
3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You ca

3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.

標(biāo)簽： shape reconstruction technique defocus

上傳時間： 2014-01-07

上傳用戶：Zxcvbnm
Least Squares Fitting of Data

Least Squares Fitting of Data

標(biāo)簽： Fitting Squares Least Data

上傳時間： 2013-12-27

上傳用戶：問題問題

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Least-squares

最小二乘法(least squares analysis)是一種數(shù)學(xué) 優(yōu)化技術(shù)

Least-squares searching for receiver position.Given 4 or more pseudoranges and ephemerides.

加權(quán)最小二乘法&最大最小化優(yōu)化算法 weighted Least-squares + weighted min-max optimization

盲自適應(yīng)算法--遞推最小二乘恒模算法Recursive Least Squares Constant Modulus Algorithm for Blind Adaptive Array

a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm

contains documents about new insights into the recursive least squares algorithm and a sample matlab

Stepwise least squares estimation of multivariate AR model

建立了一種基于移動最小二乘(Moving Least-squares MLS)法的曲線曲面擬合方法這種方法對傳統(tǒng)的最小二乘(LS)法的作了比較大的改進(jìn)使生成的曲線曲面具有精度高光滑性好等許多優(yōu)

3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You ca

Least Squares Fitting of Data