Classificacao

说明：  fast fourier transformation

数学建模,很简单的，希望对你们用帮助，望下载！(Mathematical Modeling)

对离散点进行多项式拟合，不同于传统多项式拟合高次出现病态，此程序可以拟合高阶多项式( ORTHOFIT Fit polynomial to data. YS = ORTHOFIT(X,Y,N) smooths/fits data Y(X) in a least-squares sense using a polynomial of degree N and returns the smoothed data YS.)

stiff differential equations examples

随机有限元理论教材，是学习随机有限元及可靠度理论的不错东东 (Stochastic finite element theory of teaching materials, are studying stochastic finite element and reliability theory is true Dongdong)

牛顿插值公式：构造插值函数空间的基函数得到的多项式逼近的方法——牛顿插值法。用于多项式插值逼近。(Newton interpolation formula: Construction interpolation function space available basis function polynomial approximation method- Newton interpolation. Approximation for the polynomial interpolation.)

matrix inversion source code

说明：  Matlab；金融计算；var计算；cvar计算 [VaR&&CVaR] VAR，CVAR详细介绍，并附带各种方法计算，matlab程序实现，仿真结果图展示。 [Matlab和金融计算] Matlab实现金融计算，并附带蒙特卡洛实现。([VaR&&CVaR] Var, cvar are introduced in detail, as well as various methods of calculation, and matlab program calculation is included, and the results are displayed in graphs. [Matlab and financial calculations] Matlab implements financial calculations with Monte Carlo implementation.)

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：  基于OpenSEES平台的一个桥墩算例，可以供大家参考(An example of Bridge Pier Based on OPENSEES platform can be used for reference)