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己知一些离散的点，使用matlab利用最小二乘法拟合-Had a number of discrete points, with linear least squares fitting
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non-linear least squares
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一个基于VC的最小二乘法直线拟合,很有用哦-a VC-based linear least squares fitting method, useful oh
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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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阵元失效会破坏拖曳线列阵的幅相分布，导致阵列的旁瓣级出现明显升高，严重影响了阵列的性能。阵元失效条件下
的波束形成是一个非线性的最小平方的优化问题，对其直接求解非常困难。针对这一情况，提出了一种基于遗传算法的阵元
失效校准方法。算法的基本思想是将失效阵元的权重强制为零，并使得阵列的实际响应与期望响应在主瓣区域相匹配，同时
对阵列响应的旁瓣级作出限制-Failed elements will des仃oy the amplitude and phase distribution and
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采用Opencv实现最小二乘法的直线拟合的c++代码，自己写的很简单的程序-Opencv achieved using a linear least squares fit of c++ code
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用辅助变量法递推算法估计模型的参数.辅助变量估计是在模型误差为相关噪声的情况下通过引入辅助变量矩阵对线性最小二乘估计的一种改进。
-Recursive algorithm to estimate model parameters using instrumental variables method. Auxiliary variables is estimated that in the case of the model error is related to an improveme
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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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数据光滑matlab 2015a下运行。绘制源数据和光滑数据曲线，数据保存到EXECL文件。-Savitzky-Golay filter. A generalized moving average with filter coefficients determined by an unweighted linear least-squares regression and a polynomial model of specified degree (default is 2). The met
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使用matlab实现一系列分类器，如最小二乘分类器，fisher分类器，logisitic分类器。-Use matlab realize a series of classification, such as least squares classifier, fisher classifier, logisitic classifier.
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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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Ceres Solver - A fast non-linear least squares minimizer.
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最优化算法程序，包含费线性最小二乘、共轭梯度法、牛顿法-Linear least squares optimization algorithm procedures, including fees, conjugate gradient method, Newton method and so on
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Ceres Solver - A fast non-linear least squares minimizer.
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The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean
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Ceres Solver - A fast non-linear least squares minimizer.
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A new non-linear least squares (NLS) DRSS
location estimator that uses correlated shadowing information to improve performance is
introduced. The existing maximum likelihood (ML) estimator and Cram′er Rao lower bound
(CRLB) for RSS-based locali
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A fast non-linear least squares minimizer for linux Device Driver.
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lm算法的程序。lm算法是使用最广泛的非线性最小二乘算法，中文为列文伯格-马夸尔特法。-lm algorithm procedure. lm algorithm is the most widely used non-linear least squares algorithm, Chinese as Levenberg- Marquardt method.
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