transfermatrix

the structure of the DG-FEM is very similar to that of the finite element method (FEM), there are several fundamental differences. In particular, the mass matrix is local rather than global and thus can be inverted at very little cost, yielding a semidiscrete scheme that is explicit. Furthermore, by carefully designing the numerical flux to reflect the underlying dynamics, one has more flexibility than in the classic FEM to ensure stability for wavedominated problems. Compared with the FVM, the DG-FEM overcomes the key limitation on achieving high-order accuracy on general grids by enabling this through the local element-based basis

说明：  介绍线性算子的基本概念的文章,这是书里面的一个章节(Foundation of linear operator theory)

control souce code with LQR

预处理CG算法，在进行共轭梯度法之前先对系数矩阵进行预处理，再进行迭代(pretreatment congruent gradient)

说明：  模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现(simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the final result is that the global optimum, the source Matlab can achieve Matlab environment)

使用java语言调用cplex求解简单案例(use java language with cplex solver to solve some simple cases)

Covariance Matrix adaptation ES for optimizing

蒙特卡洛资料，对于编写概率计算问题有较多的帮助，希望能帮到需要的人。(Monte Carlo)

说明：  一个简单的matlab程序，用于实现自回归AR模型。( U4E00 u4E2A u7B80 u5355 u7684matlab u7A0B u5E8F uFF0C u7528 u4E8E u5B9E u73B0 u81EA u56DE u5F52AR u6A21 u578B u3002)

Python 科学计算 的好书,该书主要是在python环境下进行科学计算，非常的棒(Python scientific computing books, the book is mainly for scientific computing in python environment, is the bar)