通过模型决定系数完成支持向量机参数优化 SVR_fitting

以随机的中弱大气湍流为背景，可用于计算大气湍流下准直高斯光束的光强分布，光束扩展以及光束角漂移(The random weak atmospheric turbulence as the background can be used to calculate atmospheric turbulence of collimated Gaussian beam intensity distribution and beam propagation and beam angle drift)

用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性(Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods)

这是一个对时间序列进行短时傅立叶变换的源程序,测试过,好用的.(This is a program for STFT,which had tested.)

新的彩票预测抄来的！真的是抄来的！真的真的真真的！(The new lottery prediction copy to Really copied! Really, really Barbara!)

说明：  插补算法 步进电机控制算法 很好的资料(PWM 1234567891010101010101010101)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

自己编写的变步长龙格库塔方法解强非线性微分方程(their preparation variable step Changlong lattice-Kutta method to solve nonlinear differential equations)

说明：  用C语言实现计算两个数字的最大公约数，代码简单简洁，适合初学者学习。(C language is used to calculate the maximum common divisor of two digits. The code is simple and concise. It is suitable for beginners to learn.)

用简单易懂的图文方式阐释算法的奥秘，快速了解每个算法的使用场景、原理(Explain the mysteries of the algorithm with simple and understandable graphics and text, and quickly understand the scene and principle of each algorithm)

经典的人脸识别算法：2Dpca的实现，matlab实现环境。(Classical face recognition algorithms: 2Dpca the realization)