MOM

ansys非线性各向同性，非线性随动硬化(ANSYS nonlinear isotropic, linear kinematic hardening)

ABAQUS扩展子程序应用，实例学习，仅供参考(ABAQUS extended subroutine application)

矩量法仿真电磁辐射和散射的源代码（c++） (Moment Method Simulation of electromagnetic radiation and scattering of the source code (c++))

内有图像协方差的计算，协方差间黎曼距离的计算等等(Within the calculation of the image covariance, the covariance between Riemannian distance calculation, and so on)

为了进一步提高直接序列／跳频（ＤＳ／ＦＨ）扩频系统的抗干扰能力，基于小波包变换结合递归最小二乘算法设计 了一种变换域自适应干扰抑制算法，该算法采用小波包分解定位窄带干扰，递归最小二乘算法抑制窄带干扰。通过蒙特卡 罗仿真分析在增加抗干扰模块后，ＤＳ／ＦＨ系统工作在准静态时，在不同信噪比条件下抗窄带干扰性能。仿真结果表明：该 算法具有较强的自适应性以及抗窄带干扰能力，其性能优于传统的直接置零法，适用于多音干扰下的恶劣通信环境。(In order to further improve the anti-jamming capability of direct sequence/frequency-hopping spread spectrum system (DS/FH), based on wavelet packet transform combined with recursive least squares algorithm design a transform domain adaptive interference suppression algorithm, the algorithm uses wavelet packet decomposition positioning narrowband interference, narrowband interference suppression recursive least squares algorithm. By Monte Carlo simulation analysis to increase the anti-jamming module DS/FH system work in the quasi-static, in different SNR anti narrowband interference performance. Simulation results show that: the algorithm has strong adaptability and resistance to narrowband interference ability, its performance is superior to the traditional method of direct zero, poor communication environment suitable for multi-tone interference.)

上三角或下三角矩阵也有大部份的元素不储存值（为0），我们可以将它们使用一维阵列来储存以节省储存空间，而对称矩阵因为对称于对角线，所以可以视为上三角或下三角矩阵来储存。(Upper or lower triangular matrix or a large majority of elements are not stored value (0), we can use them to store a one-dimensional array in order to save storage space, and because the symmetrical diagonal symmetric matrix, it can be regarded as the or lower triangular matrix storage.)

分别以单精度和双精度数据类型用以下近似算法分别计算π的近似值，要求结果具有4位有效数字(calculate pi with single-precision and double-precision respectively)

BESO的python程序，对于进行abaqus的二次开发很有帮助，这样可以将有限元单独在abaqus中进行处理，而优化算法则采用python进行编写(BESO python program, for the secondary development abaqus helpful, so that the finite element can be handled separately in abaqus, while the optimization algorithm is written in python)

weno计算阶跃函数 时间离散采取三阶RK法；使用五阶WENO方法计算函数在[-1，1]内的数值解。(weno calculation step function)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.