juxingxinhao2

应用matlab进行梁单元的内力与位移计算，内力包括轴力，剪力，力矩(Application matlab to beam element internal force and displacement calculations, internal forces, including axial force, shear, moment)

可以计算非线性薛定愕方程的exe程序,代码是matlab的( This program is a simple introduction to the Fast Fourier Transform Analytic and numerical solution are take into account. The code(MATLAB) can be used to simulate Nonlinear Schrodinger Equation (NLSE))

说明：  matlab的一些运动图像检测差分算法 希望对大家有帮助(Some moving images matlab differential detection algorithm we want to help)

无功补偿不平衡负载，阶梯调制，MATLAB仿真图，运行效果良好，欢迎借鉴(Reactive power compensation unbalanced load, step modulation, MATLAB simulation map, running well, welcome to learn)

这是一个用AnCAD公司的matfor图形包写的一个小程序，实现了类似matlab封面三维图形功能，用该图形包代码量少，个人认为比matlab更能满足用VC开发的朋友。(This is a company with AnCAD graphics package matfor write a small program to achieve a similar three-dimensional graphics functions matlab cover, using the graphics package code less, think more than matlab personal use VC development to better meet friends.)

Brushless DC Motor Control Made Easy

The file can be used for plate mesh in finite element alaysis.The code may be further modified for other shapes.

有限元SpaceFrameElement的matlab程序(FEA matlab SpaceFrameElement)

a simple integrator block example

粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。(验。-PSO algorithm (PSO) standard test function verification process. M in a document, including the current literature is used to validate the seven standard test function (Ackley), 3D dynamic display, and the over-concentration of particles scatters when the function. Designed for researchers to study and colleagues at the PSO algorithm to provide a more complete functional and easily understood standard version, for beginners through this program to achieve rapid entry. in order to be more energy into depth study! While willing to work with all the friends here to discuss PSO algorithm improvements and applications (such as multi-target, Dynamic systems, etc.) experience.)