aias

LevelSet toolbox by UCSB 提供了水平集计算轮廓的功能(LevelSet toolbox by UCSB provides a level set function of the computation of contour)

flow in porous media by lbm 3d

计算静气动弹性的程序，主要功能包括计算q，和alpha 静稳定性以及表面诱导阻力(Static aeroelastic calculation procedures, the main features include computing q, and alpha-induced static stability and surface resistance)

Fast Hankel Transform Algorithm (Fast Hankel Transform Algorithm)

最基础的图像处理程序，内含基本图像处理、几种滤波、分割算法、神经网络等源代码(The most basic image processing program that includes basic image processing, several filtering, segmentation algorithm, neural network source code)

Electric Motor Parameters UAV design

关于MATLAB的讲习，matlab编程，以及基本函数的使用，对入门学习者有帮助，(Workshop on MATLAB, matlab programming, as well as the use of basic functions, to help learners of entry,)

实现数字信号调制方式的识别,包括2ask4ask 2fsk4fsk 2psk4psk(identification of modulated digital signal)

课程设计中首先采用Ising model的思想建立一个二维的模型，然后利用重要性抽样和Monte Carlo方法及其思想模拟铁磁-顺磁相变过程。计算了顺磁物质的能量平均值Ev、热容Cv、磁化强度M及磁化率X的值，进而研究Ev、Cv、M、X与温度T的变化关系并绘制成Ev-T图、Cv-T图、M-T图、X-T图，得出顺磁物质的内能随着温度的升高先增大而后趋于稳定值；热容Cv、磁化率X随着温度的升高先增大后减小；磁化强度M在转变温度Tc处迅速减小为零，找出铁磁相变的转变温度Tc大约为2.35(First of all, curriculum design idea of the Ising model used to establish a two-dimensional model, the importance of sampling and then use Monte Carlo simulation methods and their idea of ferromagnetic- paramagnetic phase transition process. Paramagnetic material calculated average energy Ev, heat capacity Cv, magnetization M and susceptibility X value, and then study Ev, Cv, M, X and temperature changes in the relationship between T and plotted into Ev-T map, Cv- T diagram, MT map, XT maps drawn paramagnetic material can be increased as the temperature increased and then stabilized value heat capacity Cv, magnetic susceptibility X as the temperature increases after the first minus small magnetization M in the transition temperature Tc decreases rapidly to zero Department to identify ferromagnetic phase transition around the transition temperature Tc for 2.35)

一个使用matlab语言编写的粒子群算例，对初学者很有用(a example of particle swarm optimization)