搜索资源列表
oocr_v2_07252004
- sdfa Open OCR (oocr) is a character recognition program used for automatic scanning of documents and forms. oocr is based on the idea of automatic form/document reading, which can create a batch process in recognizing areas of interest for forms or a
bp2005
- 经过多次试验，该程序用于复杂的非线性数据的拟合具有很好的效果。-After numerous experiments, the procedure for the complex nonlinear fitting the data with very good results.
最小二乘法的曲线拟合
- 使用最小的二乘法实现对曲线的拟合。并输出最后的拟合曲线-use of the two smallest multiplication achieve the right curve fitting. And the final output curve
leastsquares
- 最小二乘法的拟合程序,用C语言实现.在压缩包中有具体说明.-least squares fitting procedure in C language. In a compressed specify.
newtown
- newtown 插值法 拟合曲线 其中N》=20，愿代码，可以模拟曲线，非常好用-newtown interpolation curve fitting which N "= 20, and is willing to code can be simulated curves, very handy
NH
- Nh.for 最小二乘曲线拟合-Nh.for Least squares algorithm curve fitting
biarc
- 用C#写的双圆弧拟合程序。采用平均转角法。智能控制误差-Biarc
sfit
- 模拟拟合bezier曲面的程序，在预订bezier曲面上随机取数据点，进行拟合。-Simulation bezier surface fitting procedure, in the book from Random bezier surface data points for fitting.
DataFitting
- 用C#写的直线拟合的演示程序，使用Graphics进行绘图-written used C#, a demo for Linear Fitting
123
- 这个是C语言关于线性拟合的问题 有几种不同的方法解答-This is C-linear fitting of the problem on several different methods to answer
WindowsApplication1
- 用C#编写的多元线性回归的最小二乘法，实现曲线的拟合~~ -Written in C# using multiple linear regression least square method, fitting a curve ~ ~
curvefit
- 调用方法： CurveFitting fitting = new CurveFitting() double[] xs = fitting.Fitting(xv, yv, n, m) 说明： 拟合函数：double[] xs=Fitting(int[] xval, double[] val, int n, int m) xval:点的横坐标 val:点的纵坐标值 n:欲拟合多项式的最高次数 m:拟合点的个数 数组xs为返回的多项式系数，次数从0到n。如有问题，请发送邮件至ga
PolyProcess
- 多项式拟合，用c#编写的小程序在visual studio 环境-Polynomial fitting, small programs written in c#
EGM96
- 主要是关于重力场拟合的有关C#的的程序，仅供参考。-Mainly on the fitting of the gravity field on C# program, for reference only.
Orthogonal-polynomial-curve-fitting
- 正交多项式最小二乘曲线拟合c语言程序代码-Orthogonal polynomial least squares curve fitting
Polyfit
- 该程序是基于最小二乘法的多项式拟合，基于.net的c#实现的。该算法是一个类，可直接调用。-The program is based on the method of least squares polynomial fitting, c#. Net-based. The algorithm is a class that can be called directly.
The-least-squares-fitting
- 最小二乘法平差（least squares method）是在残差向量V和权矩阵P满足Vl’PV为最小的条件下，求取测量值和参数的最佳估值，并进行精度估计的理论和方法。-The least squares fitting
two-trend-surface-fitting
- 二次趋势面拟合，根据拉伊达准则粗差判断准则进行数据的标定和剔除。-The two trend surface fitting, according to the Rajda criterion（3σ） gross error criterion for data calibration and elimination.
CSharp-fitting
- C#实现的线性和非线性拟合程序，高斯消元法实现。-C# implementation of linear and nonlinear fitting procedures, Gauss elimination method.
curve-fitting
- 利用labview编写的程序，实现曲线拟合，其中包括线性拟合，多项式拟合，以及指数拟合等多种拟合方式，且各拟合方式之间可以自由切换。-LabVIEW prepared by the procedures, to achieve the curve fitting, including linear fitting, polynomial fitting, and other fitting methods of the index, and the fitting method can be f