搜索资源列表
mulNewton
- 非线性曲线拟合使用maltab牛顿高斯迭代，并用初始值-Nonlinear curve fitting useing Maltab Newton gaussian iteration need Initial value
fitting-code
- vb6.0编写的最小二乘法直线拟合、二次曲面拟合程序，线性方程组采用列主元高斯消去法。-vb6.0 prepared by the method of least squares fitting a straight line, the quadratic surface fitting procedure, linear equations using Gaussian elimination main-element.
gaussfit
- 高斯曲线拟合，数据处理过程中对采集的信号曲线进行高斯函数的拟合过程-gauss fitting
yuan_FBG3
- 采用传输矩阵法，对非均匀高斯型FBG光纤光栅进行仿真拟合-Using the transfer matrix method, we simulate non-uniform gaussian FBG fiber Bragg grating fitting
rmbaseline
- 对一维脉冲信号可去除基底，且做结构函数分析。如果是二维信号，可进行动态谱分析，进行二维高斯函数拟合-Can remove the base and do the structure function analysis of the one-dimensional pulse signal. If it is a two-dimensional signal dynamic spectral analysis, two-dimensional Gaussian function fitting
fit_mix_2D_gaussian
- 实现二维高斯分布的参数拟合，并画出分布直方图-Two-dimensional Gaussian distribution parameter fitting, and draw the histogram
a
- 矩阵与数值分析：高斯法，高斯列主元法，G_S迭代，牛顿法，jacobi迭代法，G-S迭代法 ，牛顿法求根，三次样条插值，多项式拟合，复化Simpson方法，复化梯形方法，n=3的Gauss_Lengendre公式，4阶Runge-Kutta法求解微分方程-Matrix and numerical analysis: Gauss method out PCA Gaussian law, G_S iteration, Newton' s method, jacobi iterative m
curve-fitting
- 在控制台下利用高斯消元法实现直线拟合，多项式拟合，指数函数拟合，幂函数拟合，大家可以利用它进行二次开发-In the console environment，I using the Gaussian elimination method to achieve linear fitting, polynomial fitting, exponential fitting, fitting power function, we can use it for secondary development
MOG
- 拟合高斯分布，对数据点进行拟合给出数据均值和协方差，画图-Fitting of gaussian distribution, logarithmic stronghold fitting given data mean and covariance, the drawing
Gaussin-Curve-Fitting-with-C
- 采用最小二乘方法的高斯曲线拟合算法， 用C 语言编写. 包含子程序.-Gaussian Curving Fitting with C language
shuzhijisuan
- 数值计算实例，主要有LU分解，龙格库塔法，高斯分解法，欧拉法，曲线拟合，曲线插值-Numerical example
guss
- 通过随机序列产生高斯噪声，画出分布直方图和拟合曲线。-Gaussian noise is developted by random sequence, draw the distribution histogram and the fitting curve
multi-kernels-SVR
- 全局核（线性）与局部核（高斯）的加权组合，用于改进SVM的拟合和预测能力-The global kernel (linear) and local kernel (Gauss) weighted combination, to improve the SVM ability of fitting and prediction
Delphi_150500
- Delphi:Delphi曲线图演示，最小二乘法七点曲线拟合演示效果，借此源码可了解系数矩阵、增广矩阵、高斯消元、误差计算、高斯消去后的矩阵右侧系数、迭代初值、迭代求解等相关技巧。 -Delphi: Delphi graph demonstrates, least squares curve fitting seven demonstration effect, whereby the source code can understand the coefficient matrix, au
demo_gpr
- 主要作为一维高斯过程拟合的实例，并讨论了不同超参数条件，不同协方差函数的表现-Primarily as a one-dimensional Gaussian process fitting examples and discuss the different super-parameters, the performance of different covariance functions
demo_gparm
- 主要作为多维输入高斯过程拟合的实例，并讨论了不同超参数条件，不同协方差函数的表现- Primarily as a multi-dimensional Gaussian process input fitting examples and discuss the different super-parameters, the performance of different covariance functions
main2
- 一维高斯函数拟合，分析其方差和期望、残差平方和、决定系数等-Guass fitting
computational-methods
- 包含高斯消去法，最小二乘法拟合，三角分解法，等常用的数值计算方法，-It contains a lot of computational methods ,include Gauss methods and so on.
3
- 利用高斯消元法对采集数据进行计算，拟合出椭圆的方程-Gauss elimination method solving linear equations, then the least square fitting.Implementation of ellipse fitting
gpml-demo
- 高斯过程 提供了多个核函数的选择以及拟合还有预测上的使用-Gaussion Process