Fortran-Programs

FFT快速傅里叶变换，用于数字信号处理，大大提高了运行速度，节省内存开销。C语言实现(FFT fast Fourier transform for digital signal processing, greatly improving the speed and save memory overhead. C language)

本人上传的为线性拉东变换方法，它能够提取面波的频散曲线(I uploaded is of linear radon transform method， it can extract of surface wave dispersion curves)

说明：  基尔霍夫近似方法，计算目标的双站散射系数。参考乌拉比的微波遥感。(Kirchhoff s approximation method to calculate the bistatic scattering coefficient of the target. Refer to the Orabi microwave remote sensing.)

求解转子系统前三个临界转速和主振型的传递矩阵法 (Calculation of critical speed)

支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Support vector machines and BP neural network can be used for non-linear regression fit, but they is not the same principle, support vector machine based on structural risk minimization theory, generally considered its generalization ability than the neural network of strong . Inherent defect- a large number of simulation confirmed that generalization ability of support vector machine is stronger than the BP network, but also to avoid neural network training results unstable. The source code can be used for linear regression, nonlinear regression, nonlinear function fitting a variety of applications, data modeling, forecasting, classification)

用于优化最小二乘支持向量机的Matlab程序代码，可直接实用。(Used to optimize the least squares support vector machine in Matlab code can be directly useful.)

自己编写的求可达矩阵，层次划分 代码.使用时，替换已有矩阵，即可运算！ (I have written for reachability matrix, the level of classified code. Use, replace the existing matrix, computing can be!)

实现光学系统的ABCD矩阵传递的模拟，提供各种的模式衍射选着。(kelinsi xitong ABCDjuzhne)

QR分解法是目前求一般矩阵全部特征值的最有效并广泛应用的方法，一般矩阵先经过正交相似变化成为Hessenberg矩阵，然后再应用QR方法求特征值和特征向量。它是将矩阵分解成一个正规正交矩阵Q与上三角形矩阵R，所以称为QR分解法,(QR decomposition )

说明：  LDL分解。作为矩阵方程数值解法最基础的矩阵分解算法，LDL算法可以高效分解对称矩阵。(LDL decomposition. Numerical Solution of matrix equation as the most basic matrix factorization algorithm, LDL decomposition algorithm can be efficient symmetric matrix.)