CourantHilbertMethod_ofMathematical_Physics_I

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)

用matlab仿真出HDB3编码以及译码和信源的仿真曲线(Matlab simulation using the HDB3 encoding and decoding and source of the simulation curve)

DS-CDMA通信系统的MATLAB源程序(DS-CDMA communication system MATLAB)

Esfera control gimbal matlab

基于RSSI测距的无线传感器网络改进质心定位算法(RSSI-based ranging centroid location algorithm for WSN)

《射频电路设计——理论与应用》一书课后习题第六章Matlab程序代码("RF circuit design-- Theory and Application," a book OSCAR Exercises Chapter VI Matlab code)

产生一个三维数据图像，这个程序可以运行，有运行结果，很实用(matlab fcm)

MATLAB7.1的潮流计算关于遗传算法的所有源程序详解【matlab】(MATLAB7.1 flow calculation for all the source code on the genetic algorithm matlab】 【Detailed )

蒙特卡洛仿真 运用蒙特卡罗方法建立随机仿真模型，对已做手术病人的出院时间进行模拟，从而得到第二天拟出院病人数。再根据一定的优先规则建立基于优先级的病床分配模型，确定第二天应该安排哪些病人住院。(Monte Carlo simulation)

Often we are interested to see how the adaptation of the coeffi cients works or how the error behaves over time. Therefore we need the function [y,e,c]=lms2(x,d,N,mu) which provides us more output arguments