S参数提取

abaqus蠕变子程序,user中的实例(creep subroutine for abaqus user)

时间序列预测算法。支持5种常见的算法 移动平均 非线性回归 指数平滑等(ar, ardemo ma)

music高阶谱分析算法，IDW距离反比加权方法，BP神经网络用于函数拟合与模式识别。( music higher order spectral analysis algorithm, IDW inverse distance weighting method, BP neural network function fitting and pattern recognition.)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

说明：  umat公式详细介绍，我也不知道够20字了mei(the introduction of umat in abaqus)

EFIE-电场积分方程的详细推倒过程，对于初步学习电磁场的人很有用。(Electric field integral equation EFIE-down process in detail, the electromagnetic field for the preliminary study were very useful.)

说明：  模拟电场中的等势线，利用计算机数学软件MATLAB模拟仿真真空中自由电荷，电偶极子，带电细棒，尖端导体等附近静电场电场线及等势线分布图型(Equipotential line in simulated electric field)

说明：  线性代数同济第六版,最适用的一版,有书签(Linear algebra tongji sixth edition)

最好的dijkstra 算法 matlab实现。 可以计算任意两点间的最短距离和路径。 不要参考其他的matlab程序，他们的路径都有问题。(Best Dijkstra algorithm matlab. You can calculate the shortest distance between any two points and path. Do not refer to other matlab program, their path has a problem.)

matlab code for exponential PSO