centroid__mse_dist__uq_dist

本书介绍了非线性最优化问题的基本理论和算法，以及主要算法的matlab程序(This book describes the nonlinear optimization problem of the basic theory and algorithms, as well as the main algorithm matlab program)

matlab 数值分析 书中代码详解 齐全 例题和答案都有(Detailed numerical analysis book matlab code examples and answers have complete)

RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为(In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both). In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu)

digital image processing book

generate colors in matlab,

利用matlab实现无约束优化，对不同的函数进行优化，并比较优化结果和运算速度(Matlab unconstrained optimization, optimize and compare different function optimization results and computational speed.)

扩展空间信道模型的matlab仿真 (MATLAB implementation of the extended SCM channel model)

一种支持向量机的工具箱，用m文件编成，在matlab中有一定作用！(libsvm toolbox for matlab)

java与matlab编程的例题。想要做类似工程项目的人员可以参考哦。(java and matlab programming examples. Want to do similar projects can reference Oh.)

A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.