Conduction_2d

蒙特卡洛仿真。供个人学习研究的几个小程序。(Monte Carlo simulation. For individual learning research program.)

部分APG算法解决了核函数相关模式识别问题的例子，可加速迭代进程，减少运算时间.(An Accelerated Proximal Gradient Algorithm for Nuclear Norm Regularized Least Squares problems)

说明：  software engg notes for students

使用与matlab中的小波熵程序，易于实现，注释清晰容易理解(With the the wavelet entropy program in matlab, easy to implement easy to understand, clear notes)

有关Matlab 的simulink 的仿真书籍，介绍的内容细致全面(Simulink simulation on Matlab books, describes the contents of the detailed comprehensive)

code to test the mimo system for the ML and MZ

有CDF三角函数曲线/三维曲线图，阵列信号处理的高分辨率估计，本程序的性能已经超过其他算法。( There CDF trigonometric curve/3D graphs, High-resolution array signal processing estimates, This program has exceeded the performance of other algorithms.)

有向图中，求最小费用最大流的一种方法，matlab(Directed graph, and the minimum cost and maximum flow of a kind of method)

这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离； back-tracking程序是“回溯”法画出最佳路径的代价网格； Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯 折。(This is a pattern recognition template matching the content of Matlab routines, which edit_distance procedures used to calculate the two symbols of the edit distance between strings back-tracking program is " back" method to draw the best path cost grid Dtw- Sakoe.m program is a Sakoe-Chiba local path constraint of the dynamic time warping.)

Sparsity-Promoting Optimal Wide-Area Control of Power Networks