myperT4

Code for obtaining stability measure of typical system

最优化 最速下降法 黄金分割法 DFP 乘子法(Optimization Steepest descent method)

遗传算法程序，包含变异等各个步骤，用于求一个二元函数的极值，条理清晰。(Genetic algorithm, including the various steps of the mutation, for seeking a binary function extremum clarity.)

MUSIC algorithm for DOA estimation

说明：  用matlab的绘图功能，绘制特定函数的三维图像。实现matlab功能里随机数的产生和改变(Use matlab's drawing function to draw a three-dimensional image of a specific function. Realize the generation and change of random numbers in matlab functions)

说明：  求解定义区间内的函数值，求解定义区间内的函数值，求解定义区间内的函数值(Solving the function value defined intervals)

EMD算法，实现对信号的经验模式分解，直接调用数据就可以，(EMD algorithm, realize the signal of the empirical mode decomposition)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

混凝土配合比计算程序。可根据混凝土强度得到配合比。自己编的。参考规范为2009年之前的规范。(Concrete mix calculations. Be in accordance with the ratio of concrete strength. Their series. Reference standard for the specification by 2009.)

Generate a great circle "trajectory" from [lat1,lon1] to [lat2, lon2].