cal

学习如何设置UPML吸收边界的3-D FDTD程序.对于初学者很有帮助(Learn how to set up UPML absorbing boundary of the 3-D FDTD procedure. Very helpful for beginners)

用于图像处理的独立分量分析，分形维数计算的毯子算法matlab代码,有井曲线作为输入可计算其地震波的衰减。( Independent component analysis for image processing, Fractal dimension calculation algorithm matlab code blankets, There is a well attenuation curve as input to calculate its seismic waves.)

程序采用C语言，实现最小二乘辨识算法和递推最小二乘算法(Program using C language, least squares identification algorithm and recursive least squares algorithm)

有限差分法的径向滑动轴承求解，可用于求解油膜厚度、油膜压力等(Radial sliding bearings for solving finite difference method can be used to solve the oil film thickness, oil pressure, etc.)

说明：  郭照立D2G9(D2G9)

由散点插值生成等值线,并且提供颜色选择工具,共有三种插值方法(Generating isolines from scattered interpolation and providing a color selection tool, there are three interpolation methods)

用C语言编写的1D-FDTD程序，含一阶mur边界，附结果matlab画图程序(Using C language 1D-FDTD procedures, including an order Mur boundary, with results of MATLAB drawing program)

求解一元三次方程的Fortran源代码，自己试了试，可以用(Fortran source code for the three equation of a dollar, you can try, you can use)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)

说明：  matlab常用算法程序集主要用于解决插值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、解线性方程组的直接法、解线性方程组的迭代法、随机数生成、特殊函数计算、常微分方程的初值等问题(Mainly solve interpolation, function approximation, matrix eigenvalue calculation, numerical differentiation, numerical integration, equation roots, nonlinear equations solving, direct methods for solving linear equations, iterative methods for solving linear equations, random number generation, special functions Calculation, initial value of ordinary differential equations, etc.)