MATLAB_FFT

人脸识别，简易的人脸识别程序，用matlab编写。(face detection)

该函数用来计算任意函数的一阶偏导数(数值方法),小波包分析提取振动信号中的特征频率，可以提取一幅图中想要的目标。( This function is used to calculate the arbitrary function of th)

说明：  利用similink，建立的buck-boost电路，属DCDC电路的一种(BUCK-BOOST electric circuit)

说明：  PYTHON IMPLEMENTATION FOR FORD-FULKERSON ALGORITH

HISTOGRAM_DISPLAY makes a stacked bar plot of a set of histogrammed data.

这是一本matlab学习课件书籍，其中包括一些基本的操作，也包括相当多的源程序(This is a matlab learning courseware books, including some of the basic operations, including a considerable number of the source)

root music 算法估计精度更加优秀(root music The estimation accuracy of the algorithm is better)

图形的透视演示,两个圆，外面一个镂空，投射里面一个圆。(Presentation graphics perspective, the two round, outside a stencil, projection inside a circle.)

说明：  遗传算法的主要程序，只要修改其中的目标函数即可以得到我们想要的结果(The main program of genetic algorithms, as long as modify the objective function that can get the results we want)

说明：  遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms. Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a computer simulation. For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution. Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible. Evolution begins with a population of completely random individuals, and it happens from generation to generation.)