CCmethod2

有限元方法fortran编程，包括二维三维线性非线性静态分析、稳定流瞬时流分析、振动问题、特征值问题、并行计算等。包含了所有子程序。(Finite element method fortran programming, including 2D and 3D linear and nonlinear static analysis, steady flow transient flow analysis, vibration problems, eigenvalue problems, parallel computing. Contains all subroutines.)

说明：  matlab改进的网格算法，work3为主程序(Matlab improve grid algorithm, based procedures work3)

实现最小二乘的仿真函数，有3次和9次多项式的拟合。(Realize the simulation of least squares function, has 3 times and 9 times polynomial fitting.)

音频信号通过LM386放大，计算两个矩阵之间的欧氏距离，电力系统暂态稳定程序，可以进行暂态稳定计算。( LM386 audio signal amplification, Calculation of the Euclidean distance between the two matrices, Power System Transient Stability Program, can be transient stability.)

说明：  线性判别分析（LDA，全称Fisher Linear Discriminant Analysis）算法的C#实现源码，根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算，使用zedgraph控制绘图。有简单的测试数据。( C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algorithm , according to LDA.m of stprtool box for matlab . Use MathNet library to do matrix operations,and use zedgraph control for drawing. Thers has a simple test data.)

进行PQ分解，计算电力系统潮流的有效方法，应用广泛(PQ decomposition is an effective method for calculating power flow in power system.)

说明：  有两个ARMA过程，其中信号1是宽带信号，信号2是窄带信号，分别用AR谱估计算法、ARMA谱估计算法和周期图法估计其功率谱。(There are two ARMA processes, in which signal 1 is a wideband signal and signal 2 is a narrowband signal. The power spectrum is estimated by AR spectrum estimation algorithm, ARMA spectrum estimation algorithm and periodogram method respectively.)

this is fft header file for fast fourier transform. with this file, you can compute frequency spectrum zero to tow pi.

这是一个关于数字预失真功能仿真的matlab程序，效果不错，希望对大家有所帮助。(This is a matlab program about function estimation of digital estimation,and it has a good performance,really hope it can help you.)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)