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基于直方图的分布估计算法matlab源程序，测试函数选用的是30维函数(for h=1:m for j=1:((x2-x1)/binswidth) if (x(h)>=x1+(j-1)*binswidth)&(x(h)<x1+j*binswidth) H(j)=H(j)+1 end end end [wid,len]=size(H) H=H/(wid*len) objvalue=sort(objvalue, descend ) for j=1:((x2-x1)/binswidth))

自己在网上看到的一个关于平方根的求值方式，可以参考下(Themselves in line to see a square root to be evaluated on, you can refer to the following)

~~~~~~~为初级学者使用的遗传算法~~~~~~~~~~~~(Genetic Algorithms for Primary learner)

一个小巧有限元计算软件fem的licence和一个例子(A compact fem finite element software and an example of licence)

做DEA用的,功能很强大,大家可以试试看,真的很好用(DEA do use, very powerful, we can try, really well)

BakeCode通信原理的巴克码模拟编码实现(BakeCode communication principle of Barker code simulation Coding)

matlab模糊控制 控制规则以及模糊隶属函数的编程(matlab fuzzy control)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

简单介绍了模糊控制器的隶属度函数的matlab代码输入(A brief introduction to the fuzzy controller matlab code input membership function)

matlab中对简支梁进行有限元建模，并进行模态分析(matlab for Charpy in finite element modeling and modal analysis)