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Data-fitting-methods
- 提供了几种数据拟合的c++代码:1 直线拟合(FIT);2 线性最小二乘法((LFIT, COVSRT), (SVDFIT, SVDVAR)(oddity), (FPOLY, FLEG)(example));3 非线性最小二乘法((MRQMIN(Levenberg-Marguardt), MRQCOF(evaluation)), FGAUSS(example));4 绝对值偏差最小的直线拟合(MEDFIT(cal para), ROFUNC(example))。-offers several d
Gauss
- 高斯插值拟合用,在数据较少的情况下拟合精度慢速要求,三到四阶。-Lagrange interpolation fit to use, in the case of less data fitting precision of slow demand, three to four bands.
data-fitting
- 本文详细阐述了在matlab编程环境中如何进行数据拟合,非常详细的-This paper describes how in the matlab programming environment for data fitting, very detailed
commands-for-data-fitting
- 本文详尽阐述了如何在matlab编程环境下对数据拟合和插值的各种命令-This article elaborates how matlab programming environment for data fitting and interpolation of the various commands
ellipse-fitting-in-sensor
- 在传感器中数据采集后的椭圆拟合算法matlab编程实现-After the sensor data acquisition in the ellipse fitting algorithm matlab programming
Matlab-data-fitting
- Matlab数据拟合 用Matlab进行数据拟合的方法和原理以及程序-Matlab with the Matlab data fitting data fitting methods and principles and procedures
data-fitting
- this program fits a set of data, using customized function.
data-fitting
- 该matlab源码为最小二乘数据拟合测试程序。通过了调试测试。-Matlab source code of the test program for the least squares data fitting. Through the commissioning tests.
Polynomial-data-fitting
- 用一次,二次,三次多项式根据最小二乘原则拟合数据-Used once, twice, three times the principle of least squares polynomial fitting the data according to
data-fitting
- 实验5 多项式、数据插值及数据拟合 数据的优化-Experiment 5 polynomial, data interpolation and data fitting
matlab-Data-fitting
- 利用matlab进行数据拟合,有现成代码和案例数据。-Use of matlab for data fitting, have a ready-made code and case data.
Matlab-batch-data-processing
- 批量数据处理,内含有非线性拟合代码、数据拟合、非线性拟合、非线性回归分析-Matlab batch data processing Matlab general nonlinear fitting code, data fitting, nonlinear fitting, nonlinear regression analysis
Data-fitting
- matlab 数据拟合很好的资料,数学建模很有用,内含数据和源码。-matlab Data fitting
interpolation-and-data-fitting
- matlab常用对插值以及数据拟合的处理 -matlab commonly used treatment for interpolation and data fitting
data-fitting
- 运用最小二乘法对数据进行拟合,内容包括1. 1.运用matlab自带的程序对最小二乘法数据拟合 2.自己编程对最小二乘法数据拟合3.对非线性曲线拟合4.运用神经网络对实验数据进行拟合 -Using least squares fit of the data, including 1.1. Using matlab own procedures for least squares data fitting 2. Their own programming on the method of le
Large-capacity-data-fitting
- 用matlab实现1000组复数数据的拟合,并计算拟合函数的归一化均方误差(NMSE).-1000 groups using matlab fitting complex data, and calculate the fit function normalized mean square error (NMSE).
Data-Fitting
- 提供一元函数插值,样条插值,多项式插值或拟合,曲线拟合等数据拟合源码-Provide one yuan function interpolation, spline interpolation, polynomial interpolation or fitting, curve fitting, etc. Data fitting source
Interpolation-and-fitting
- 此程序主要解决数据插值,三次样条插值及数据拟合等问题。-This program is mainly to solve the data interpolation, cubic spline interpolation and data fitting problems.
Data-modeling
- 这里有数据建模常规方法的Matlab实现:数据的读入与读出、数据拟合、数据可视化等。-Matlab implementation of the conventional method of data modeling: data reading and reading, data fitting, data visualization, etc..
fitting
- 实现了任意数据的函数的插值,特别是对初学者很有用,(implement the data fitting)