static2d

对于abaqus子程序学习的初学者，这是一个学习umat的很好算例,(Abaqus subroutine for beginners to learn, this is a good example to learn umat,)

％ 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)

一个求解Navier-Stokes不可压缩流动的代码。用Matlab编制。(It s a source code for Navier-Stokes equation in incompressilbe flow, which is written in Matlab.)

一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。(A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.)

说明：  一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding(Based on the probability of data dimensionality reduction approach: Stochastic Neighbor Embedding)

实现了图像的灰度化并进一步用于视频监视控，有信道编码，调制，信道估计等，可以广泛的应用于数据预测及数据分析。( Achieve a grayscale image and further control for video surveillance, Channel coding, modulation, channel estimation, Can be widely used in data analysis and forecast data.)

用矩量法(电场结合磁场积分方程)算金属圆柱散射(Using the method of moments (electric field integral equation combined) considered the scattering of metal cylinder)

根据传输线理论，计算无耗传输线的输入输出阻抗，画图表示电压电流和阻抗随线路长的变化(Based on transmission line theory to calculate the input and output impedance of the lossless transmission line, drawing, said the change of voltage, current and impedance with the line length)

随机共振的EMD去噪算法，在机械振动信号方面的应用(Stochastic resonance EMD denoising algorithm, in the application of mechanical vibration signals)

全面介绍有限元网格生成算法的英文教材，可以作为网格生成算法的编程资料(finite element mesh generation has not been taken as a formal subject of teaching in universities,as it encompasses several disciplines including classical geometry, computational geometry and topology, finite element method, data structures and algorithms, computer programming and, to a certain extent, even computer graphics.)