跟踪算法

文件为C#矩阵运算类，包含了多种形式的矩阵定义，能够进行多种矩阵运算，如矩阵四则运算、求逆、转置等，十分方便用于实际开发。(File for the C# matrix operations class, contains the definition of various forms of matrix, to carry out a variety of matrix operations, such as matrix arithmetic, inversion, transpose, etc., is very convenient for actual development.)

牛人Matthew Pais，精通扩展有限元、abaqus、matlab,此博士论文详尽描述了XFEM的理论与编程思想。 (Professor Matthew Pais who is proficient at Extended Finite Element、abaqus, matlab。This paper describes the the XFEM theory and matlab programm ideas in detail.Now it is open to you ,my friends!)

本程序应用python编程，用到3机9节点算例，数据也给出，可以实现潮流计算。(This program uses python programming, uses 3 machines and 9 nodes to calculate the example, and the data is also given, which can realize the load flow calculation.)

wolf 方法计算李雅普诺夫指数,用于时频分析算法，旋转机械二维全息谱计算的实用例程。( wolf calculated Lyapunov exponent, For time-frequency analysis algorithm, Rotating Machinery dimensional hologram of practical spectrum calculation routines.)

说明：  abaqus周期性边界条件代码，可以参考学习(ABAQUS periodic boundary condition code can refer to learning)

无网格法移动最小二乘近似（MLS）型函数计算子程序 (Meshless method moving least square approximation (MLS) type function calculation subroutine)

zero shift fitering to be used in offline system identification

fluent 旋转边界算例，可以了解运动机械在fluent模拟中的设置(fluent rotation the boundary example, you can understand the mechanical movement set in fluent simulation)

％ SSOR预处理的共轭梯度法求解方程Ax=b ％ 输入参数说明 ％ A 正定矩阵[n*n] ％ b 右边向量 ％ omega SSOR预处理参数(0--2) ％ Times 迭代次数 ％ errtol 给定误差终止条件 ％ ％输出参数 ％ NewX 方程Ax=b的x近似解 ％ avgerr 求解的当前平均绝对误差( SSOR preconditioning conjugate gradient method for solving equations Ax = b the input parameter descriptions A positive definite matrix [n* n] b right side vector omega SSOR preconditioning parameters (0- 2) Times iterations errtol termination of a given error condition NewX output parameter equation Ax = b of x approximate solution to solve the current avgerr average absolute error)

这个程序分别用二分法，Newton法，弦截法，Newton下山法等算法求解非线性方程(this procedure were used dichotomy, Newton, String interception, Newton downhill law for solving nonlinear equations)