numerical_compute

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

说明：  粒子滤波算法的时间分析程序，matlab实现(Particle filter time analysis program, matlab achieve)

说明：  实现基2时域频域抽取fft算法，可输出运算后所得复序列的模值序列，并可记录显示计算所用时间(Achieve base 2 fft algorithm frequency domain extraction can be obtained after computing the output sequence of modulus of complex sequences can be used in the calculation time, records show)

计算风力机的转换功率的算例 根据流体力学激盘素理论推出 最大转换功率不可能超过0.47(cofficience of power change from wind energy to eletricity energy.)

this document contain some demonstrations in mathematics , it can bee very helpful for beginners

基于abaqus编辑的用户自定义单元，二维四节点单元(the uel for 2d ELEMENT based on abaqus)

一种继续概率学习矩阵的优化算法，优化精度和计算时间都很不错，是目前基本最好的启发式算法，里面有测试函数(A continuing study probability matrix optimization algorithm to optimize the accuracy and computational time is very good, the best is the basic heuristic algorithm, which has test function)

美国汪利宏的蒙特卡洛及卷积模拟程序，可以模拟top-hat光束和高斯光束在生物组织中的传输(U.S. WANG Li-hong of the Monte Carlo and convolution simulation program can simulate the top-hat beam and Gaussian beam transport in tissue)

精密星历内插 matlab代码,包含误差分析(Precise ephemeris interpolation matlab code, including error analysis)

二维粘弹性介质中波的传播的解析形式。应用Carcione等在1988年发表的《WAVE PROPAGATION SIMULATION IN A LINEAR VISCOELASTIC MEDIUM》一文中的方法，更加详细的介绍见英文描述。该代码对于做波场模拟的同学有很好的参考价值。( MATLABScript for obtaning the analytical solution for 2D wave propagation in a viscoelastic medium, based on the Appendix B of paper of Carcione et al. (1988)(1), corrected in (2). The source used is a Ricker wavelet in the y velocity component. A figure of the source temporal function and its inverse Fourier transform are provided to verify the good working of the method. Also works for elastic variables by substituting the values of vp and vs by real constant ones (vp_0 & vs_0). Attenuation is implemented by GMB-EK rheology presented in (4) and thoroughfully explained in (3). In order to make a proper comparison with numerical data it is recommended to either use the same rheology in both the numerical and the analytical. It is also possible to get an almost constant Q value by increasing a lot the number of mechanisms used in both the numerical and the analytical solutions, thus minimizing the effects of the Q fitting in the comparison.)