Random-variable

模式识别线性判别的程序实现，产生两个二维正态分布随机样本，分别进行Fisher线性分类和感知器分类。其中main.m是主函数，将三个程序放在同一文件夹中，运行main.m即可得到分类结果。(Pattern recognition linear discriminant program implementation, generate two-dimensional normal random sample, were Fisher linear classifier and Perceptron classification. Main.m is the main function of which will be three programs in the same folder, run main.m classification results can be obtained.)

《精通MATLAB最优化计算》优化的工具箱和自编函数实现双管齐下 算法原理→流程→编程→举例一杆到底 60余个程序，100余个实例一一精编精讲(" Mastering MATLAB optimization calculation optimization toolbox and self-function of the two-pronged algorithm principle → process → Programming → example one in the end more than 60 months of the program, more than 100 instances of eleven for fine Jingjiang)

地震作用下框架结构的非线性分析，刚度矩阵，质量矩阵，阻尼矩阵(Nonlinear analysis of frame structures under earthquake, stiffness matrix, mass matrix, damping matrix)

calculates the size parameter (x) and relative refractive index

The first scheme is based on the spatial locality of feature vectors corresponding to similar images. Learning is effected by modifying the query vector to incorporate the positive examples. The second scheme is based on “distorting” our view of the feature space. An new similarity distance between an image and the query is learned from the relevance feedback.

matlab threshold nblklkjkljlkjlkjlkj

LFM 抽取处理 D=5 LFM加SNR=10dB LFM加10dB噪声抽取输出需加滤波器(LFM draw sample D=5，LFM was added with noise，and SNR=10dB)

用MATLAB实现欧式距离，很简单的例子，一学就会。其中，还求出了距离的最小值。希望大家可以相互学习一下。(Very simple example, a study will Euclidean distance, using MATLAB. Wherein the minimum distance is obtained. I hope we can learn from each other.)

五对角线性方程组求解程序. 速度奇快.一千阶,0.019秒 一万阶:0.56秒 10万阶:61秒. 数据输入结构见程序内英文说明.(Five linear equations solver. The speed of a swift pace. A thousand bands, ten thousand bands 0.019 seconds: 0.56 seconds 100,000 bands: 61 seconds. Data input structure see process description in English.)

Comparación de varias aproximaciones