GM(1-N) 灰度预测 N个变量 源码

OSTU算法，智能优化算法，matlab,共同学习(OSTU)

filter design for matlab simulink

MATLAB Game: PONG this is a very simple game written by MATLAB.

现代通信系统原理和经典算法的MATLAB实现(Modern communication system principles and classical algorithms in MATLAB)

优化天线的副瓣电平，利用遗传算法进行优化，可使副瓣电平达到-20dB(Optimized antenna sidelobe level, the use of genetic algorithms to optimize the sidelobe level can achieve-20dB)

MATLAB GUI设计学习手记第二版，罗华飞编著，完整版。(MATLAB GUI design learning notes writed by Luo Huafei second edition, full version.)

This program is the analytical approach in composite design to determine the safety factors and strength components of a general multidirectional laminate based on the Tsai-Wu failure criterion and also on the first ply failure (FPF) approach by using MATLAB programming.

qr算法的matlab代码，利用矩阵的QR分解，逐步按递推法构造矩阵的分解序列的过程，只要原始矩阵式非奇异矩阵，则由QR算法就完全确定其分解序列了(qr algorithm matlab code using a QR decomposition of the matrix, step by step process of the recursive method to construct the matrix decomposition sequence, as long as the original matrix nonsingular matrix by the QR algorithm completely determine the sequence of its decomposition)

用内点法实现电力系统潮流的优化问题上，代码完整，已经通过测试(Interior point method for power system optimization)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.