apFFT

％ 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)

使用Fortran涡度、散度、涡度平流、温度平流计算代码(Using Fortran vorticity, divergence, vorticity advection, temperature advection calculation code.)

说明：  多阶段物流配送问题GA解法,用于物流配送中心选址问题的解决(logistics center location)

计算材料学中用相场法模拟合金凝固相变的程序(Computational Materials Science using phase-field simulation of solidification phase change process)

交错网格PML弹性波模拟地震波形的c语言程序(Staggered grid PML elastic wave seismic waveform simulation)

通过最小二乘辨识系统模型，并进行必要的分析，是上系统辨识课的实验内容，有程序和报告(By least squares identification system model and the necessary analysis on System Identification lesson experimental content, procedures and reporting)

利用Abaqus子程序UAMP实现PID控制。(PID control is implemented using the Abaqus subroutine UAMP.)

牛顿插值算法，利用数组存储均差表，一步步迭代求得插值(Newton interpolation algorithm, the use of array stores are differential gauge, step by step, iterative get interpolation )

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.)

功能完善的、代码简单清晰、注释良好的k均值聚类算法(The function is perfect, code simple clear, annotation good k-means clustering algorithm)