MAT5

monte carlo method implemented on matlab : presentation + demo source code on matlab

四种不同的算法：AdaGrad、Adam、momentumGrad、RMSProp算法来解决优化问题：min f=1/2*||Ax-b||_2+u*||x||_1(Four different algorithms: AdaGrad, Adam, momentumGrad, and RMSProp algorithms to solve the optimization problem: Min f=1/2*||Ax-b||_2+u*||x||_1)

说明：  matlab 下 zigbee 的仿真，很重要的东西。呵呵。(zigbee under matlab simulation, it is very important things. Ha ha.)

采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,粒子图像分割及匹配均为自行编制的子例程。( Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Particle image segmentation and matching subroutines themselves are prepared.)

用matlab实现股票分析中的RSI指标，可用于例程学习(Stock analysis using matlab realize the RSI indicator can be used for routine learning)

MATLAB code for Kinematic simulation

讨论了多变量灰色预测模型的算法，给出了多变量灰色预测模型的Matlab程序(Gray discussed the multivariate prediction model algorithm, given a number of variables in the Matlab program gray prediction model)

基于互功率谱的时延估计，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,多姿态，多角度，有不同光照。( Based on the time delay estimation of power spectrum, Monte Carlo simulation method of calculating the American option price and basic description, Much posture, multi-angle, have different light.)

将系数矩阵A转变成等价两个矩阵L和U的乘积 ，其中L和U分别是下三角和上三角矩阵。当A的所有顺序主子式都不为0时，矩阵A可以唯一的分解为A=LU。其中L是单位下三角矩阵，U是上三角矩阵。 (The coefficient matrix A into two matrices L and U is equivalent to the product, where L and U are lower triangular and upper triangular matrix. When A master style is not all the sequence is 0, the matrix A can only be decomposed into A = LU. Where L is unit lower triangular matrix, U is upper triangular matrix.)

1 chaos_draw_GCM.m 基于最大标准差绘制的大域耦合相图（GCM）；2 chaos_GCM.m 特定参数下的大域耦合状态变量的值的时域及频域图； 3 chaos_simple.m 混沌对初始条件敏感的实验； 4 ICAS.m ICAS系统的评价数据处理； 5 julia.m 朱莉娅集的绘制； 6 logistic.m 逻辑斯蒂克集的稳定点关于参数u的分布(1 chaos_draw_GCM.m drawn based on the maximum standard deviation of the big field coupling phase diagram (GCM) big field coupling state variable 2 chaos_GCM.m special parameter values ​ ​ in the time domain and frequency domain 3 chaos_simple.m Chaos sensitive to initial conditions experimental evaluation data processing 4 ICAS.m ICAS system draw 5 julia.m Julia sets stable point 6 logistic.m logic Si Dike set of parameter distributions u)