fractal

说明：  研究FDTD模拟一维光子晶体中的光波传输，并利用此方法计算了电磁波在一维光子晶体中的电场和磁场的空间分布以及一维光子晶体的透射谱。(FDTD simulation study of one-dimensional photonic crystal of light transmission, and use this method to calculate the electromagnetic wave in one-dimensional photonic crystal in the electric and magnetic fields, as well as the spatial distribution of one-dimensional photonic crystal transmission spectrum.)

很好用的有关矩阵的各种操作，包括求逆，特征值，特征向量，svd分解等(good part of the matrix of various operations including inverse, eigenvalues, eigenvectors, svd decomposition, etc.)

最小二乘法在二维平面测向交叉定位里的应用(The least squares method in the two-dimensional plane measured to cross positioning)

这是利用FFT分析相位差的程序，具有一定的参考价值！(This is done using FFT analysis phase of the program, has a certain reference value!)

无网格算法中的光滑粒子水动力学sph算法源程序（溃坝）(Meshless algorithm smoothed particle hydrodynamics sph algorithm source (dam))

这是ansys里面apdl语言，用于计算圆柱体开裂(This is the ansys inside apdl language, used for calculating the cylinder craze)

一般矩阵的schur分解，编译即可运行，需要文件输入(schur decomposition, the program can run successfully, you need a file for input)

％ 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)

采用离散的数值方法，通过坐标转换并生成贴体网格系统，计算轴对称喷管流场(Discrete numerical methods, through coordinate transformation and generate body-fitted grid system, calculating axisymmetric nozzle flow)

几个多目标求极值的Matlab算法，包括模式搜索法、Rosenbrock法、单纯形法、Powell法、最速下降法、共轭梯度法、牛顿法、信赖域法(Matlab algorithm, several multi-objective extremum including pattern search method, Rosenbrock method, simplex method, Powell method, the steepest descent method, conjugate gradient method, Newton' s method, trust region method)