MATLAB-GUI-

MATLAB 数学手册复合版内容详尽 包括矩阵及其基本运算，特征值与二次型数值计算与数据分析 插值、拟合与查表 常微分方程数值解偏微分方程的数值解 符号运算积分变换Taylor级数 概率统计 随机数的产生 随机变量的概率密度计算 随机变量的累积概率值(分布函数值)正整数的频率表 4.6.2 经验累积分布函数图形 最小二乘拟合直线 绘制正态分布概率图形 绘制威布尔(Weibull)概率图形 样本数据的盒图 给当前图形加一条参考线 在当前图形中加入一条多项式曲线 样本的概率图 附加有正态密度曲线的直方图在指定的界线之间画正态密度曲 假设检验 方差分析 foptions函数 非线性规划问题 隶属函数 模糊推理结构FIS 绘图与图形处理 含有基本实例代码 (MATLAB math composite version of the manual includes a detailed matrix and the basic computing, quadratic eigenvalue with numerical analysis and data interpolation, fitting with the look-up table the numerical solution of ordinary differential equations numerical solution of partial differential equations symbols computing integral transforms Taylor class the number of probability and statistics of the generated random number of random variables the probability density of random variable cumulative probability values (distribution function value) positive integer frequency table 4.6.2 graphical experience distribution function least-squares fitting a straight line Normal probability graph drawing Drawing Weibull (Weibull) probability graph Sample data box diagram To add a reference to the current graphics line In the current graph by adding a polynomial curve Additional samples have the probability map is the histogram density of states curve at the specified)

Total variation grayscale and color image denoising

its important for academic issues

SIFT算法Lowe英文原文，以及相应源码解释，适合初学者阅读(failed to translate)

说明：  抽象类以及纯虚函数的相关笔记。Figure作为基类，派生出Circle，Square(Abstract classes and pure virtual functions related notes. Figure as a base class, derived Circle, Square)

lorenz吸引子的画法，及其动态movie的画法。(Lorenz attractor painting method, and its dynamic movie of the painting.)

MATLAB数值积分与应用的一个简短介绍，主要对于初学者应用。(MATLAB numerical integration and application of a brief introduction, the main application for beginners.)

Poly alphabetic cipher in C

FRAME地固系和惯性系坐标转换（极移、岁差、章动、参考历元）(FRAME orbit transfer)

自编的BP神经网络Matlab程序，可完美运行。还附有0到9训练样本集，供大家参考学习(Self BP neural network Matlab program can be run perfectly. Accompanied by 0-9 training sample set for your learning)