zaibogenzong

评价图形的MSE,SNR，PSNR的GUI。(A　GUI　to evaluate the image s MSE,SNR and PSNR.)

三电平原理仿真，请根据您的实际使用情景进行修改(Three-level principles of simulation, please be modified according to usage scenarios)

平差辅助函数，用于平差过程中需要使用的函数模型(Adjustment helper function for function model adjustment process requires the use of)

对电力系统中传统机组进行机组组合优化计算(The unit commitment optimization of the traditional power unit is calculated)

说明：  北航数值分析大作业第一题：矩阵的QR分解求特征向量。代码是我在理学院本科期间写的，所有结果已经过Matlab及Mathematica验证，保证算法正确实现。(Numerical analysis of Beihang great job the first question: QR decomposition of matrix eigenvector. Code is written during my undergraduate logical Institute, all results have been verified through Matlab and Mathematica, to ensure it is correct to achieve.)

Face tracking code. Tracks face in video focusing skin detection

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

DANXIANG guangfu 并网 可以运行 (Single grid systems, photovoltaic inverter, a very good reference significance. You can run.)

电力系统的普通潮流计算，数据为14节点，IEEE，牛顿法(General trend of power system calculation, data of 14 nodes, IEEE, Newton' s method)

实现格子boltzmann方法中D2Q9模型的简单算法(lattice boltzmann D2Q9 model)