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matlab编写的多元变量最小化问题的downhill方法求解(matlab prepared multi-variable minimization problem downhill method)

this is a matlab code for computing DTW(dynamic time warping) for speech processing applications.

This is a filter design document in digital and analog domain. There is matlab code

说明：  SFA算法的matlab实现，不是使用工具箱的那种，纯编程，望支持(The algorithm of SFA, not use the tool box function, use laugage of matlab.)

：给出了一种提取特征点的新方法和合理的特征不变量。该方法根据三角不等式原理利用第三边与另 外两边之和的比值大小来确定角点，以特征点和它相邻的两个特征点所形成的两条直线的夹角正切值以及三角形 第三边与另两边和的比值作为特征不变量。这种特征提取的方法简单，并且由于扩大了模板取值范围，使识别效果受特征点漏检的影响较小。实验表明，该方法不仅简便，而且效果良好。(: In this paper, a new feature point extraction method and the characteristics of rational invariants. The method is based on the principle of triangle inequality with the use of the third side and both sides of the ratio of the size to determine the Corner to feature point and its two adjacent feature points formed by the angle between two tangent linear and the third triangle on both sides and edges with another feature of the ratio as a variable. This feature extraction method is simple, and as a result of the expansion of the scope of the template values to identify the effect of feature points by the impact of smaller undetected. Experiments show that the method is not only simple, but effective.)

国外经典化学反应计算开源程序Cantera，基于MATLAB(Calculation of chemical reaction of foreign classic open source Cantera, based on MATLAB)

Modeling crack growth in a traditional finite element framework is a challenging engineering task. Originally the finite element framework was modified to accommodate the discontinuities that are caused by phenomena such as cracks, inclusions and voids. The finite element framework is not well suited for modeling crack growth because the domain of interest is defined by the mesh. At each increment of crack growth, at least the domain surrounding the crack tip must be remeshed such that the updated crack geometry is accurately represented.

Long-Term Evolution: Simplify the Migration to 4G Networks

最近在学习决策树，一个简单的决策树预测模型(Recently in the learning decision tree,A simple decision tree prediction model)

将所有Copula的例子Code分享出来。 其中包括时变Copula的。 大家可以参考例子进行处理。 得到的结果请看MATLAB右边的LL和Kappa(Share all the examples of Copula, Code. It includes the time-varying Copula. You can deal with the examples. For the results, look at the LL and Kappa on the right of MATLAB)