约束优化问题

说明：  逆BROYDEN迭代法求解非线性方程组：是一种相对比较新的一种方法,克服了牛顿迭代法需要求导数和求逆的缺点。本程序提供解法和画图流程，注意多迭代几步(Inverse BROYDEN iteration method is a relatively new method for solving nonlinear equations, which overcomes the shortcomings of Newton iteration method in derivative and inversion. This program provides solution and drawing process. Remember more several steps of iteration.)

converts binary sequence to decimal sequence

利用多元回归分析对气象站点数据进行插值运算。(The data of meteorological stations are interpolated by multiple regression analysis.)

thermal damage abaqus-umat subroutine

％ 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)

fluent多相流DPM模型中使用用户自定义函数对颗粒进行统计(DPM fluent multiphase flow model using user-defined functions for particle statistics)

这是利用C++ 编的fft(This is the C series fft)

Faran散射模型，能够计算液体中球形物体的散射声压(The Faran scattering model, able to calculate the scattering of spherical objects in the liquid sound pressure)

code for homotopy in compressed sensing

金属材料的随动强化有限元模型，适用于有限元分析的本构模型二次开发(Finite element model of kinematic hardening of metallic materials, constitutive model suitable for finite element analysis of secondary development)