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最小二乘法的直线拟合算法，可用各种开发工具实现-linear least squares fitting algorithm can be used to achieve various development tools
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提供了几种数据拟合的c++代码：1 直线拟合(FIT)；2 线性最小二乘法((LFIT, COVSRT), (SVDFIT, SVDVAR)(oddity), (FPOLY, FLEG)(example))；3 非线性最小二乘法((MRQMIN(Levenberg-Marguardt), MRQCOF(evaluation)), FGAUSS(example))；4 绝对值偏差最小的直线拟合(MEDFIT(cal para), ROFUNC(example))。-offers several d
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The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it
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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 nonlinear least squares, used to
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MIMO-OFDM信道估计，用于最小二乘法和线性最小均方估计方法的性能比较-MIMO-OFDM channel estimation for the linear least squares method and the least square method estimates Performance Comparison
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文献1的仿真程序
solves the linear least squares problem with nonnegative variables =
using the newton s algorithm in [1].
[1] Portugal, Judice and Vicente, A comparison of block pivoting and
％ interior point algorithms for linear least squares probl
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基于最小二乘原理的直线拟合程序-based on the principle of linear least squares fitting procedure
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运用househoulder变换求解线性最小二乘问题，实现矩阵的QR分解-Transform househoulder use for solving linear least squares problem, the realization of the QR matrix decomposition
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曲线拟合的最小二乘法
实验用例： 已知函数y=f(x)的一张表：
x 0 10 20 30 40 50 60 70 80 90
y 68 67.1 66.4 65.6 64.6 61.8 61.0 60.8 60.4 60
试验要求：利用曲线拟合的线性最小二乘法求被逼近函数f(x)在点x=55处的近似值，并画出实验数据和直线-Method of least squares curve fitting of the experimental cases: known func
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LM算法的简要描述。LM算法是一种定位多变量函数最小值的迭代技术，是解决非线性最小二乘问题的基本技术之一。-The Levenberg-Marquardt(LM)algorithm is an iterative technique that locates
the minimum of a multivariate function that is expressed as the sum of squares
of non-linear real-valued functions[4
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是针对大规模的线性方程组，及最小二乘问题的迭代求解方法。改方法可减少内存占有量，再数学上与共轭梯度法等价。-A method of solving large sparse linear systems and linear least squares,which can save memory and equivant to the CG method in the view of pure mathematics.
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数值计算，最小二乘法直线拟合程序 -Numerical calculation, linear least squares fitting procedure
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最小二乘法直线拟合程序 最小二乘法直线拟合程序-Linear least squares fitting procedure fitting a straight line least squares procedure
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是一个用vc编写的非线形最小二乘估计 -Is a vc prepared using non-linear least squares estimation
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最小二乘法直线拟合 最小二乘法直线拟合-Linear least squares fitting a straight line least squares fitting
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a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear
least squares algorithm
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基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
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matlab实现线性最小二乘，本人调试终于成功！代码得到极大地优化-Linear least squares matlab, debug, I finally succeeded! Code has been greatly optimized! ! !
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MATLAB Example Code : Non-Linear Least Squares --- Bearings-Only Measurement-MATLAB Example Code : Non-Linear Least Squares--- Bearings-Only Measurement
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MATLAB程序，
半参数线性回归模型的最小二乘核估计
半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.
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