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王勖成的《有限单元法》资料包，包括pdf书籍、课后习题答案以及有限元分析教学程序FEATP源码！(The package of finite element method by Wang Xucheng, including pdf books, after-school exercise answers and finite element analysis the teaching programFEATP source!)

说明：  文件中有大量 数据样本，根据样本进行数据处理，求均值，插值，最大值，最小值等(There are a large number of data samples in the file. According to the samples, data processing is carried out to find the mean value, interpolation, maximum value, minimum value, etc)

Evesen开发的洛伦兹模型耦合集合卡尔曼滤波算法(Lorenz model coupled with ensembled Kalman Filter)

空间数据扩边以后做fft并在频率域延拓，可用于求重磁异常(expansion of spatial data and FFT， in the frequency domain extension can be used to find the gravity and magnetic anomalies)

实现复数运算符的重载，对C++初学者来说有一定的参考价值。(Complex operator overloading, C++ beginners a certain reference value . )

等几何分析MATLAB程序包,有着丰富的例子,其中fem包内为传统的拉格朗日插值有限元, iga包内为nurbs插值的等几何有限元(This is the README file for the Isogeometric Analysis (IGA) Matlab code. The code supports one, two and three dimensional linear elasticity problems. Extended IGA for hole, inclusion and crack modelling is also implemented.)

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foraging algorithm (Particle Swarm Optimization), abbreviated as PSO. It has the advantages of high precision and fast convergence. It is widely used in system identification, function optimization and other fields. The document pso.m is a particle swarm algorithm identification program. On this basis, it is necessary to write an object function calculation program to realize the parameter identification of different systems.)

MAYLAB语言编写柯林斯公式的S-FFT及D-FFT计算程序，请读者自行根据需要修改(MAYLAB language Collins formula S-FFT and D-FFT calculation program, the reader according to their needs modification)

电容层析成像的ART算法演示实例,并带有详细的说明(An Example of ART Algorithm for Electrical Capacitance Tomography)

小波包分析提取振动信号中的特征频率，微分方程组数值解方法，有循环检测，周期性检测。( Wavelet packet analysis to extract vibration signal characteristic frequency, Numerical solution of differential equations method, There are cycle detection, periodic testing.)