torque

CANVAR Compute canonical variates

粒子群算法源程序，matlab编程实现,欢迎互相学习(partical swarm optiamtion)

A user guide for classification toolbox using Matlab

说明：  MATLAB和C++开发都有，代码齐全，资料非常有指导意义，适合有一定基础的人。（含资料：全国高技术重点图书·通信技术领域 遗传算法及其应用）(It concludes code of matlab and c++,and some important referance is also included.)

本仿真是基于超宽带仿真，包括完整的系统分析和仿真程序。(The simulation is based on ultra-wideband simulation, including complete system analysis and simulation procedures.)

改进的子空间匹配追踪算法，对原子的筛选做了进一步的改进(Improved subspace matching pursuit algorithm, screening atoms make further improvement)

使用matlab下载网站上的文件使用urlwrite函数下载网站上的文件特别适用于批量下载同类型的文件Created使用urlwrite实现批量下载以下载2011美赛数模证书为例 (Using matlab download site to download a file using the urlwrite function files on the Web site especially for bulk download Created using the same type of file to download the bulk download urlwrite achieve 2011 certification as an example the U.S. digital-analog match)

Data sets include far more ancillary information than simple tables of numbers and the DataSet Object (DSO) was designed as a generic container that can hold all of this information. The standard DataSet object is similar to a Matlab structure but it is intended to standardize how data is organized and maintained. It was originally designed in 2000 by a consortium of chemical and engineering industry experts to contain the kinds of data that they worked with in real applications. It has been updated numerous times since then to add relevant functionality needed for multivariate analysis of physical science and engineering data.

说明：  嵌入式系统的建模及matlab仿真，同时给出相应的C++实现代码(failed to translate)

股票数据绘图, suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price( suppose we place a limit order to sell at limit prices vol is the annual volatility of the stock and price is the current price. vol is output from estvol assumes we input Open, Close, High, Low, daily prices and the price)