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数学计算 The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti
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 suitable for updating regressions as more
data become a ...
GPS编程 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.
数学计算 加权最小二乘法&最大最小化优化算法 weighted least-squares + weighted min-max optimization
加权最小二乘法&最大最小化优化算法
weighted least-squares + weighted min-max optimization
数值算法/人工智能 通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition
通过奇异值分解实现的最小二乘拟合算法
inear least-squares fit by singular value decomposition
数学计算 多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as
多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by ...
数据结构 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)
最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)，作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數，除了多項式之外，指數、對數方程式亦可作為近似函數。關於最小平 ...
数学计算 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲 面拟合方法这种方法对传统的最小二乘(LS)法的作了比较大的改进使生成的曲线曲面具 有精度高光滑性好等许多优
建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲
面拟合方法这种方法对传统的最小二乘(LS)法的作了比较大的改进使生成的曲线曲面具
有精度高光滑性好等许多优点详细介绍了移动最小二乘法的原理应用和特点并且给
出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程最后给出了曲线拟合和空间散
乱数据曲 ...
matlab例程 A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adju
A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.
matlab例程 Basic function to locate and measure the positive peaks in a noisy data sets. Detects peaks by loo
Basic function to locate and measure the positive peaks in a noisy
data sets. Detects peaks by looking for downward zero-crossings
in the smoothed third derivative that exceed SlopeThreshold
and peak amplitudes that exceed AmpThreshold. Determines,
position, height, and approximate width of e ...
人工智能/神经网络 This program demonstrates some function approximation capabilities of a Radial Basis Function Networ
This program demonstrates some function approximation capabilities of a Radial Basis Function Network.
The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...