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1. 最小二乘法拟合数据成直线。
2. 三次样条插值。
3. 两个3D演示程序(用程序直接在平面上画的三维图像)。-自动翻译的:1 a linear least-squares fitting the data. 2 cubic spline interpolation. 3 two 3D demo program (application directly on the painting in three-dimensional image plane).
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最优化方法及其Matlab程序设计,乘子法程序,非线性最小二乘问题源码,最速下降法与牛顿法源码-Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.
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实现最小二乘法的直线拟合,输入为一串数据-To achieve linear least squares fitting, the input is a string of data
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非线性最小二乘问题的源码,希望对初学者有帮助-Non-linear least squares problem code, hope to help beginners
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VC写的最小二乘法线性拟合的代码,输入点坐标,输出斜率和截距-the least-squares linear fit code writed with VC, input coordinates, the output slope and intercept
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C++写的 最小二乘法直线拟合 程序 附源码-Written in C++ linear least squares fitting procedure with source
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最小二乘法的线性拟合,可以拟合y=ax+b的方程式。-Least squares method of linear fitting, can be fitted to the equation y = ax+ b .
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用最小二乘法对数据进行线性回归,输出拟合参数、偏差-Linear regression using the least squares method
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LAPACK,其名為Linear Algebra PACKage的縮寫,是一以Fortran程式語言寫就,用於數值計算的函式集。 LAPACK提供了豐富的工具函式,可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。-LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides
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列文伯格-马夸尔特算法是最优化算法中的一种,是使用最广泛的非线性最小二乘法!-Levenberg- Marquardt optimization algorithm is the most widely used non-linear least squares method!
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通过C语言编程,在pic单片机内完成最小二乘数据处理-Pic microcontroller C language programming, least squares data processing
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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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针对一个匀速直线运动目标的跟踪设计最小二乘滤波器,了解跟踪滤波的基本方法以及参数估计方法的应用。-For a uniform linear least squares moving target tracking filter designed to learn the basic methods of tracking filter and parameter estimation method applied.
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本人收集matlab实现最小二乘法线性、一元多项式拟合、多元二次拟合、自编函数曲线拟合程序,有文档说明-I collect the linear least squares method matlab realize, one yuan polynomial fitting, multivariate quadratic fit, self-function curve fitting procedures, documentation
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线性最小二乘问题的豪斯荷尔德变换法,对A进行QR分解。-Linear least squares problem Householder transformation method, the A QR decomposition
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己经一些离散的点,使用最小二乘法拟合直线-Had a number of discrete points, with linear least squares fitting
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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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