SCIENTIFIC_COMPUTING.pdf

用MATLAB实现的离散系统灰色PID位置跟中系统(MATLAB implementation of the discrete-time systems with PID position with the system of gray)

最小均方算法的Matlab源程序,模式识别中的分类器 (Minimum mean-square algorithm Matlab source code, Pattern Recognition Classifier)

matlab GUI tutorial. This a very helping tutorial for matlab GUI beiggners.

计算双组分简单精馏塔的理论板数的例子 用的是mathematics编程(A simple calculation of two-component distillation of the theoretical plate number of examples of using a mathematics program)

交流BUCKBOOST拓扑的MATLAB仿真 (AC_BUCK_BOOST )

随机间距稀疏三元循环相位掩膜矩阵可压缩成像.pdf(Sparse Trinary Circulant Measurement Matrices with Random Spacing in Compressive Imaging)

用于将中央气象台的T639数据转换为Matlab格式的数据(transform the data from National Meteorological Center of CMA to matlab format)

说明：  一些入门的并网控制系统，含光伏和储能部分。(Some introductory networked control systems, including photovoltaic and energy storage)

《基于MATLAB7.0统计信息处理》，对统计信息基本理论做了讲解，并结合实例讲解了统计信息库基本函数的使用。(" Based on MATLAB7.0 statistical information processing" , the basic theory of statistical information made to explain, and explain with examples the basic function of the statistical information base to use.)

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.