roootlocus_plot

Test TOR Boundary Condition Test

说明：  振动的模拟的matlab源程序，来源于网络, 谢谢大家！(vibration source Matlab simulation, and from the network, thank you all!)

MATLAB 画的阵列信号方向图。 包括权都是1的方向图和用户修正方向图。(Array signal direction of MATLAB to draw figure. Including rights are fixed direction figure 1 in the direction of the figure and users.)

用PCA主成分分析進行錯誤訊號分離 可應用在晶圓製程資料的分析(PCA principal component analysis of the error signal separation can be applied to the wafer process data analysis)

说明：  利用matlab，读入一幅图片，输出它的7个不变矩。。。。(Using matlab, read a picture, the output of its seven invariant moments. . . .)

现我做了一个基于RHR算法的李氏指数计算方法，收敛速度很快，精确度也还可以，现传上：(Now I had a RHR algorithm based on Lyapunov exponent calculation methods, fast convergence, accuracy can also now Chuan on:)

Galerkin方法,这是一种真正的无网格方法.这种方法采用移动最小二乘函数采近似解变量,并且采用移动最小二乘近似函数的权函数作为加权残值法的权函数.文中对形成的离散动力学方程用Newmark方法求解(Galerkin method, this is a real meshless method. This method adopts moving least squares in function approximation solution variables, and adopts moving least squares approximate function of weight function as a weighted residual method of weight function. In the paper, the discrete dynamic equation formed with Newmark method to solve)

利用matlab 做拟合的图表 两个序列进行拟合 并画出拟合后的图和残差 另外作图的过程是每次都取相同的一段数据 且起始点不断往后推(Using matlab to do a chart to fit the proposed merger of two sequences and residual process diagram plotting another draw after fitting is always take the same piece of data and constantly pushed back the starting point)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

this package is binary Decision Tree code implement in matlab.