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本文用龙格库塔法求解了不拉休斯解。龙格库塔法是求解高阶微分方程的有力工具，本文对龙格库塔方法作了简要介绍，并附上了matlab源程序。(in this paper a runge_kutta method was used to slove the blasius equation in the environment of matlab.)

说明：  此文件是二级倒立摆的仿真模型与仿真源程序(set up on a double inverted pendulum fuzzy control module of the Matlab files)

说明：  这是一个两关节机械手的数学模型，matlab文件(This is a two joint manipulator mathematical model, matlab file)

说明：  使用matlab实现最小均方算法，画出了权值迭代图和搜索过程图。(Realized least mean-square algorithm（LMS）by using matlab, drawed the right value iteration figure and search process maps.)

可以方便的调用这个函数，就能对已知数据进行插值。(err)

二维与三维光子晶体的光子禁带仿真程序代码(Two-dimensional and three-dimensional photonic crystal photonic bandgap simulation code)

code matlab of fingerprint vetification

高等光学仿真(MATLAB 版〉 一一光波导，激光(optical numerical simulation)

UWB时域波形描述与仿真，满足FCC组织规定的室内UWB系统(UWB time-domain waveform description and simulation, to meet the FCC requirements for indoor UWB systems organization)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]