It is the DOS environment to develop a mathematical calculation software, the ma...

可以用来计算大数的阶乘

一维线性回归，文件不大，里边有头文件和另外一个相关文件。-one-dimensional linear regression, not paper, along with header files and documents related to one another.

一、 一元三次回归方程 CubicMultinomialRegress.cs 方程模型为Y=a*X(3)+b*X(2)+c*X(1)+d public override double[] buildFormula() 得到系数数组，存放顺序与模型系数相反，即该数组中系数的值依次是d,c,b,a。 以后所述所有模型的系数存放均与此相同（多元线性回归方程除外）。 public override double forecast(double x) 预测函数，根据模型得到预测结果 public override double computeR2() 计算相关系数（决定系数），系数越接近1，数据越满足该模型。 -1, one dollar three regression equations CubicMultinomialRegress.cs equation model for Y = a* X (3)+ B* X (2)+ C* X (1)+ Dpublic override double [] buildFormula () get coefficient array, store order and model coefficients contrary, that is, the array is followed by the value of coefficient d, c, b, a. After all the model described in the coefficient of storage are the same (except for multiple linear regression equation). public override double forecast (double x) prediction function, according to the results of model prediction public override double computeR2 () calculated the correlation coefficient (determination coefficient), coefficient of the closer one, the dat

数值分析的简单算法VC++实现-simple numerical analysis algorithm VC

用C++编写的双三次样条插值算法-prepared by the C-cubic spline interpolation algorithm

隐马尔可夫模型，C语言编写，重要的是里面附带有隐马尔可夫模型原理介绍的ppt，可以对应学习-HMM, C language, it is important that they are incidental tenets of Hidden Markov Models introduced ppt, can learn from counterparts

GCV Generalized cross-validation.广义交叉校验,用做非线性时间序列的计算，非常有用，找了好久才找到的。不要错过机会哦-GCV Generalized cross-validation. Generalized cross-validation, using nonlinear time series to do the calculation, is very useful to find for a long time to find the. Oh, do not miss the opportunity to

一个矩阵相乘的c语言代码-a matrix multiplication code in C Language

这是为机器倾斜用于实践的实际方式学习毫升，也学习如何编程在 python 的环境中做一个 Python 程序。它被作为一个小小的架构，主控的机器学习算法。

计算电磁学中fdtd方法的源代码，三维计算例子-Computational electromagnetics methods in the source code fdtd