chap2_1

实现VC++与Matlab的混合编程，解决这 个问题， 不仅能更好地发挥Matlab 强大的功能， 还能快速地进行软件开发， 尤其是当软件开发中需要实现复杂的数学算法、图形处理时尤为迫切。(The realization of VC++ and Matlab mixed programming, to solve thisA question, not only can play a better Matlab powerful function, can rapidly in software development, especially when the software development need to realize the complex mathematical algorithms, graphics processing is particularly urgent.)

Matlab simulation for Fuzzy control(tool box), Inverted pendulum Document

这是一个利用遗传算法来求解非线性方程组的经典案例，有助于学习好这种新的算法(A program on the understanding of nonlinear equations solved using genetic algorithms)

文件包含基于Matlab编写的一些先进PID控制程序，其中包括专家PID，大延迟Dalin算法，大滞后Smith算法，串级PID控制，遗传PID，遗传辨识算法。可在Matlab中直接运行。(Matlab based on the preparation of a document contains a number of advanced PID control procedures, including expert PID, large delay Dalin algorithm, large time delay Smith algorithm, cascade PID control, genetic PID, genetic identification algorithm. Can be run directly in Matlab.)

Kernel module implementing an IP set type: the bitmap:ip,mac type.

强大的响度计算工具包。可以计算稳态的响度和瞬态的响度。并且可以将响度表示在时域上。(Loudness calculated powerful toolkit. Can calculate the loudness of steady state and transient loudness. Loudness and can be expressed in the time domain.)

信号与系统第二版清华大学出版社课后习题编程答案(Signals and Systems, Tsinghua University Press, second edition programming after-school exercise answer)

Find Nearest Neighbors on Sphere

In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f.(The secant iteration to find the zero of some non-linear function converges to zero if appropriate starting values are chosen. Although the convergence rate is not as good as the one of the Newton method, it may sometimes converge when Newton fails. The funtion should be defined as an inline function and two starting values are required to start the iteration. Please enter help secant from the Matlab prompt for usage information and examples. )

這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。(This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package.)