jiangzao

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 图形显示格式,取过圆柱轴的截面温度变化将其做成动画. (A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)

说明：  这是关于自适应的一个m文件，希望对大家有用(This is an m on the adaptive document, we hope to be useful)

matlab language testcox.dll

很全的PSO优化SVM，还带例子。希望大家下下去认真研究，支持支持向量机(this is good method of pso optimizing parameters of svm)

Algorithm PLL for inverter dc-AC

只要输入低通滤波器系数，可画有负数尺度的多尺度函数的图象(As long as the importation of low-pass filter coefficient, can be painted a negative multi-scale image scaling function)

说明：  skyline学习资料，对大家挺有帮助的。(skyline learning materials to all of us Tingyou help.)

这是关于瑞利衰落信道的matlab仿真程序(on Rayleigh fading channels Matlab simulation program)

粗糙集属性约简代码，可以运行，可以运用到不同场合，可作为参考(Rough set attribute reduction code can run, can be applied to different occasions, can be used as reference)

基于最差性能最优的稳健波束形成算法可以等价转换成加载样本矩阵求逆(LSMI)算法.提出了 一种新的求解方法, 准确地计算出Lag range 乘数, 给出了LSMI 算法中的最优加载量, 解决了对角加载技术中加载量估计难题.(The robust adaptiv e beamformer using w orse-case performance optimization can be converted to the loaded sample ma trix inv ersion (LSMI) algorithm equivalently.For the LSMI beamformer , a no vel method is develo ped to so lve the precise Lagrange multiplier , and the o ptimal loading level can be computed exactly.Most important, this method gives the efficient solution to finding the optimal loading level for diagonal loading.)