Convex-Optimization

轴系设计计算 分析轴系传动中的最佳参数，并优化设计方案 (Design and calculation of shaft drive shaft of the best parameters, and optimize design)

自定义风格的SegmentedControl，IOS编程学习源码，很好的参考资料。(A custom style SegmentedControl, learning IOS programming source code, a good reference.)

explaination with codes of Quadrature Amplitude Modulation

读取视频总帧数，并可对视频每一帧图像进行处理(Reads the video frames, and the image can be processed)

As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

MATLAB的教程 简单明了 适合初学者 及其相应的实验(Simple MATLAB tutorial for beginners and their corresponding experimental)

是matlab的主要函数简介，主要是介绍matlab函数的功能(The matlab function profiles, is to introduce the functions of the matlab function)

基于matlab编写了SQP法，乘子法，共轭梯度法，拟牛顿法，信赖域法，最速下降法与牛顿法的最新程序，功能很强大，可供编程参考。(Based on the preparation of MATLAB SQP, multiplier method, conjugate gradient method, quasi-Newton method, trust region method, steepest descent method with the Newton-Raphson method the latest procedures, functions very powerful, can be used for programming reference.)

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