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图像处理源代码，介绍了利用最小二乘法对BMP图像进行直线拟合的方法-image processing source code, introduced to the use of least squares to BMP images linear fitting method
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DotNet版的线性方程的解法，包括：高斯消元法，用于n阶非奇异矩阵；SVD分解法，求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序．这里有源码（J#)和dll文件．-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
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DotNet版的线性方程的解法，包括：高斯消元法，用于n阶非奇异矩阵；SVD分解法，求最小二乘解.目前还很难找到免费的DotNet版的数值计算程序．这里有源码（J#)和dll文件．-Kind version of the linear equation solution, including : Gaussian Elimination Act, for order n nonsingular matrix; SVD decomposition method, least squares sol
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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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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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采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
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this Illustration of linear least squares.-this is Illustration of linear least squares.
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频域不同导频密度的信道估计在被研究，并且在高低时延信道其信道估计被固定了导频分配时域。频域信道估计是基于插补，多项式的广义线性模型（或最小二乘法）和维纳滤波（或线性最小均方误差法）的方法。时域的信道估计是用线性插补完成的。我们通过测量在基于克拉克散射模型的瑞利衰落信道上并带有QPSK调制的粗误码率，已经比较了所有这些方案的结果。-Different pilot density in frequency domain channel estimate to research, and its hi
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系统辨识中假定确定了对象的线性状态方程式，要求其系数。对象是时慢变系统，这时需要跟踪它的系数。这个场合使用递推最小二乘法很合适。本程序提供了一个试验例子。读者可根据需要自己更改代码。-System identification assume that the object to determine the linear equation of state, asking them to factor. When an object is a slowly varying system, then
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matlab进行的最小二乘法线性数据处理和太阳能电池板的输出特性仿真模型-matlab for least squares linear data processing and output characteristics of the solar panels simulation model
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目标跟踪：对目标的运动建立较为简单的线性模型，并用最小二乘估计对其参量进行估计，从而推出目标轨迹。-Target-Tracking：the simulation of tracking target by linear least squares estimates on the Matlab platform.
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对线性和非线性的最小二乘进行了介绍，同时介绍了把指数函数的最小二乘转变为线性的最小二乘方法以及实现。
写出了指数函数的最小二乘C#实现代码，并且在两个点的情况下，用普通方法和最小二乘进行了比较，结果一致。（代码可直接运行）-Linear and nonlinear least squares were introduced, also introduced the least squares exponential function into a linear least-squares m
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加权最小二乘，VC源代码，有详细注解，Weighted-least-squares-Weighted-least-squares C++ code
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根据a comparison of block pivoting and interior-point algorithms for linear least squares problems with nonnegative variables 编写的相关算法。包含：active-set，principal pivoting algorithms,Newton s algorithm,predictor-corrector algorithm.对于解决非负最小二乘问题非常实用，注解简单，易于操
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PIC18单片机独立按键限时检测程序,以及最小二乘直线拟合程序。-PIC18 microcontrollers separate buttons. Limited testing procedures, as well as the linear least-squares fitting procedure
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最小二乘法，带GUI界面拟合线性曲线，实验中可以用作参考，自己编写的程序-The least squares method, linear curve fitting with a GUI interface, the experiment can be used as a reference, you have written procedures
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最小二乘拟合空间直线，和单独的误差计算函数-Linear least squares fitting space, and a separate error calculation function
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切比雪夫 用切比雪夫多项式逼近已知函数
勒让德 用勒让德多项式逼近已知函数
帕德 用帕德形式的有理分式逼近已知函数
lmz 用列梅兹算法确定函数的最佳一致逼近多项式
ZJPF 求已知函数的最佳平方逼近多项式
方舟子 用傅立叶级数逼近已知的连续周期函数
事实上的部队 离散周期数据点的傅立叶逼近
SmartBJ 用自适应分段线性法逼近已知函数
SmartBJ 用自适应样条逼近（第一类）已知函数
multifit 离散试验数据点的多项式曲线拟合
LZXEC 离散
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The module LSQ is for unconstrained linear least-squares fit-The module LSQ is for unconstrained linear further- squares fit
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对目标函数的松弛变量引入一个参数μ，优化基本的最小二乘一类支持向量机算法。同样是解决线性问题，避免了二次规划的复杂问题(A parameter min is introduced into the relaxation variable of the objective function, and the basic least squares support vector machines algorithm is optimized. It also solves the linear pr
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