Matlab-codes

该程序为用于数据挖掘算法中的基本方法基于密度方法(k_mean)

快速傅立叶变换和圆周卷积的通用MATLAB源程序,非常有参考价值(Fast Fourier Transform and Convolution circumference generic MATLAB source code, very useful)

基于MATLAB的 小波分析应用书中例程源代码(MATLAB-based wavelet analysis routines source code of the application book)

floyd算法计算最短路的matlab源程序(floyd calculated)

MATLAB 编程（第二版） (MATLAB programming (second edition) )

以齿轮系统动力学和非线性动力学理论为基础,针对齿轮系统时变啮合刚度和齿侧间隙耦合作用的具体特点,建立了齿轮系统非线性模型,并用数值积分和数值仿真方法对其在某些参数域中进行了非线性振动研究(Based on the dynamics of a gear system and the theory of nonlinear dynamics, co nsidering characteristics of coupling action of the time-varying mesh stiffness and the gear backlash, a model of the nonlinear gear system is developed. The nonlinear vibration is studied by using numerical integration method and numerical simulation in some parameter fields.)

VC运算速度较快，相对于matlab而言，编程较为烦琐，而matlab编程灵活，并且方很多工具箱，使用极为方便，但是matlab的M语言编写的仿真程序的仿真速度相对较慢。 C-MEX函数是基于C语言编写的C与matlab接口函数，是matlab应用程序接口的一个重要组成部分。通过它不但可以将现有的C语言编写的程序轻松地引入到matlab环境中使用，避免了重复的程序设计，而且可以使用C语言为matlab定制用于特定目的的函数(如为了保护算法设计等)， 以完成在matlab中不易实现的任务。此外，更重要的一点，使用C语言编写的C-MEX函数可以有效地提高M灯matlab环境中数据处理速度和效率。 (VC computing faster, compared to matlab, the program is more cumbersome, but matlab programming flexibility, and a lot of side toolbox, use very convenient, but the M-language matlab simulation program written in a relatively slow simulation speed. C-MEX function is based on the C language interface written in C and matlab functions matlab application interface is an important component. It can not only be through the existing programs written in C language easily introduced into the matlab environment, to avoid the duplication of programming, and can be customized using the C language for matlab functions for specific purposes (such as algorithm design, etc. in order to protect ), Matlab in order to complete the task is not easy to achieve. In addition, more importantly, the use of C language written in C-MEX function can effectively improve the M light matlab environment, data processing speed and efficiency. )

快速浏览时间序列数据。而且可以直接创建时间序列的图示，非常方便快捷。(MAT2FIGURE allows you to review timeseries data contained in a matfile very fast and efficiently. Furthermore, the created figure file can be used to distribute these data. After opening a matfile, mat2figure scans (struct) arrays for vector signals, tries to determine the time signal (if not specified at commandline) and creates a figure with built-in signal browser. Among the features are: - At signal selector, each signal is marked, whether it s an ordinary signal, just has constant values or is monotonically in-/decreasing - Signals can be plotted into existing or new subplots, time axes are linked and subplots can be rearranged in up to 6 columns - snapshots of current plots can be created for switching between different views very fast - figure can be printed to clipboard, eps- or png-file with hidden menubar - timeseries data are stored within the figure-file and can be exported to matfile or to workspace - convenient handling via keyboard shortcuts - signal viewer)

一个求工程结构可靠度指标的算例，用matlab编程实现。(Engineering structure reliability index)

2000年数学建模B题 材料运输问题 MATLAB和LINGO程序代码(Mathematical modeling in 2000 B topic materials transportation problem and LINGO MATLAB program code )