xingyouxian

SIAM.Data Clustering.Theory.Algorithms and Applications.2007

小程序，matlab编的，用于解常微分方程的问题(Small program, matlab compiled for the solution of ordinary differential equations of the problem)

非常有用的卫星轨道参数计算模块,很方便进行轨道特性分析。(This is a very useful toolbox for satellite s trajectory parameter computation )

对MATLAB的MAT文件进行读书，用C++语言实现(read and write mat files, using C++ Language)

利用类处理异常，实现根据异常处理规则，进行异常捕获(The use of unusual types of processing to achieve exception handling in accordance with rules capture abnormal)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

matlab环境下，对puma560机器人人的工作空间运动轨迹做了轨迹规划，的到轨迹云图 (Matlab environment, puma560 robot trajectories trajectory planning, to track cloud map)

这个是关于matlab仿真OFDM的完整程序，可以很好的掌握哦对于初学者(the study of OFDM using matlab)

CSI对MIMO系统容量影响的仿真与分析(Simulation and Analysis for MIMO system capacity CSI effect)

Q-Learning强化学习的代码实现.rar(A good learning Q source code, for learning has a great role in reinforcement learning)