NR_power-Flow

混合回归模型，进行自回归和因子回归，同时考虑。数据从EXCEL中读入(Combined regression model)

A matlab program that implements the 2D DCT equation. Compares the results with the built-in function output for correctness

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.

psat36节点数据，将PSASP的36节点模型转化成了PSAT模型，可以在MATLAB中调用此算例进行计算分析(psat EPRI36)

西安交通大学版信号与系统第一次作业，求数学卷积和C++代码(For convolution and c++ code )

基于QR分解的岭回归函数，这个函数是非的有用是已经证明过的准确程序( center input and output, so we can estimate w0 separately since we don t want to shrink w0 )

Finite memory least square method

室内定位算法，指纹定位算法，几种不同的匹配算法(Indoor location algorithm, fingerprint localization algorithm, several different matching algorithms)

利用小波阈值系数降噪的方法，对振动噪声信号进行降噪( 25/5000 Lìyòng xiǎobō yùzhí xìshù jiàng zào de fāngfǎ, duì zhèndòng zàoshēng xìnhào jìnxíng jiàng zào The method of wavelet threshold coefficient noise reduction is used to noise the noise signal)

基于LASSO算法的编程 利用了r语言.对线性模型进行了系数估计和变量选择(Programming based on LASSO algorithm, using the R language)