Delany_Bazley

说明：  用C语言实现计算两个数字的最大公约数，代码简单简洁，适合初学者学习。(C language is used to calculate the maximum common divisor of two digits. The code is simple and concise. It is suitable for beginners to learn.)

LAPACK，其名為Linear Algebra PACKage的縮寫，是一以Fortran程式語言寫就，用於數值計算的函式集。 LAPACK提供了豐富的工具函式，可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。(LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition.)

支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

这是一个对于非线性PA设计的DPD程序，有很好的效果，对初学者很有帮助( This is a non-linear PA designed for DPD program, have a good effect, very helpful for beginners)

利用不动点迭代和牛顿迭代求解非线性方程解的理论(Theory of Solving Nonlinear Equations by Fixed Point Iteration and Newton Iteration)

说明：  cuda矩阵乘法 通过GPU并行运算实现乘法的加速(cuda GPU parallel matrix multiplication operation by the accelerated realization of multiplication)

迭代最邻近点算法: 计算两组点云之间的最佳匹配效果(Iterative closest point (ICP) algorithm: seaching the best overlapping result of two point clouds)

说明：  matlab改进的网格算法，work3为主程序(Matlab improve grid algorithm, based procedures work3)

可控源电磁法（CSEM）一维反演程序，利用Occam算法(1d inversion program for CSEM)

TGM.m \传统的Galerkin方法 MD.m \时滞惯性流形方法 brownian.m \演示布朗运动 randomwalk.m \ 演示随机游走 tumor.m \ 演示tumor演化(TGM.m traditional Galerkin method MD.m Delays inertial manifold method brownian.m demo Brownian motion randomwalk.m demo random walk tumor.m demo tumor evolution)