petri-net-toolbox

本工具包给出了反问题计算常用的正则化参数确定，求正则化解等方法。非常有效，是难得的一款好软件包(The kit gives the calculation of inverse problem regularization parameter commonly used to determine, find the regularized solution and other methods. Very effective, a good package is a rare)

An example of OFDM modulation implemented in MATLAB with simulations for tx, rx.

说明：  使用MATLAB所做的一个潮流计算程序，无出错(Using the MATLAB computer program made by a trend, no errors)

最小化L1范数求解，通过L1-LS工具包。(L1 norm minimization solution, through the L1-LS kit.)

针对频率周期振荡的振动系统讨论自适应控制问题,在频率跟踪的基础上对频率变化的振动响应进行控 制,给出相应的估计、滤波与控制方法。首先在子空间辨识原理的基础上,通过测量信号自相关序列的递推运算获得信号 频率 然后根据估计频率实时调整带通滤波器的中心频率,使其跟踪信号频率,实现信号分量的跟踪滤波 最后在LMS方 法的基础上构造对信号分量进行控制的自适应控制器。(The adaptive vibration control of systems excited by forces of periodically varying frequencieswas dis- cussed. The presented adaptive controlwas realized on the basis of tracking of time-varying frequencies and amethod for online frequency estimation, filtering and controlwas proposed. Based on the principle of subspace identification, the time-varying frequencieswere estimated from the recursively computed autocorrelation ofmeasured signals. )

说明：   本程序为量子编码单目标优化程序，不同于以往量子态采用多位qubit编码，本程序采用实数编码，但q-gate的时候仍进行10-2-10的转化。并附一定的优化结果。(This program is single-objective optimization process of quantum coding is different from the past, with many qubit quantum code, the program uses real coding, but the q-gate, when the transformation is still underway 10-2-10. Together with some optimization results.)

This is new method to estimate the johnson parameters for the johnson bounded family.this is most probably the easiestmethod to estimate johnson parameters.

wolf-powell算法,运行在MATLAB环境中，用于搜索步长的计算(wolf powell algorithm)

高等应用数学问题的matlab求解第一章的所有例子的源代码(advanced applied with matlab charpe one)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)