fenleiqi

通过遗传算法计算下列函数的全局最优值 y(t)=sum(x(t,:).*x(t,:))(Global calculate the following functions by genetic algorithms optimal value y(t)=sum(x(t,:).*x(t,:)) )

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

It is a program to draw kaisar window

基于matlab语言的格子玻尔兹曼方法的圆柱绕流程序，直接在matlab里运行就可以得到相应的结果了(Based on the matlab language Lattice Boltzmann flow around a circular cylinder procedures run directly in matlab can get the corresponding results of the)

模糊自适应PID控制的报告，后面带简单的程序，可以运行，就是抄的部分刘金琨的程序。不懂图的含义可以参考刘金琨的先进PID控制MATLAB仿真。(It s a simple report and simple simulink program about the Fuzzy-PID.)

matlab实现各种经典回归算法，如最小二乘，ridge，lasso，elastic net等等，以及各种回归算法应用实例。(Many classic regression methods such as least squares, ridge, lasso and elastic net and so on. In addition, some application examples are here indetails.)

matlab6.0 清华版课后练习配套程序，经过运行，完全正确，全部通过运行，希望有用！(it is a valuble exercise!)

说明：  MATLAB混沌时间序列分析工具箱,可以加到MATLAB中应用(MATLAB toolbox chaotic time series analysis, can be added to the application of MATLAB)

该算法是K-SVD算法的一种改进算法。该算法可以用于稀疏字典的学习中。与传统方法相比，能够有效的降低计算量，提高字典更新的速度。(The algorithm is an improved algorithm of K-SVD algorithm. The algorithm can be used to sparse dictionary learning. Compared with conventional methods, it is possible to effectively reduce the amount of computation, to improve the speed of dictionary update.)

SWTEST Shapiro-Wilk parametric hypothesis test of composite normality. [H, pValue, SWstatistic] = SWTEST(X, ALPHA, TAIL) performs the Shapiro-Wilk test to determine if the null hypothesis of composite normality is a reasonable assumption regarding the population distribution of a random sample X. The desired significance level, ALPHA, is an optional scalar input (default = 0.05). TAIL indicates the type of test (default = 1).