total-least-square

说明：  文件中有大量 数据样本，根据样本进行数据处理，求均值，插值，最大值，最小值等(There are a large number of data samples in the file. According to the samples, data processing is carried out to find the mean value, interpolation, maximum value, minimum value, etc)

％ 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)

基于Levenberg-Marquardt的曲线/面拟合(C library for Levenberg-Marquardt least-squares minimization and curve fitting)

CS算法OMP该进算法，对傅里叶与 的信号进行稀疏采样(Compressive Sensing OMP)

说明：  Delphi实现最小二乘法，进行多点拟合，目前支持4点拟合(Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.)

确定近似最优正则化参数，很好的解决不适用问题(To determine the approximate optimal regularization parameter, it is very good to solve the problem.)

二维弹性波正演程序，是在win7下Fortran编译器实习的(Dimensional elastic wave forward procedure, is under win7 Fortran Compiler internship)

一个有限元计算的例子,初学者可以参考，简单易看懂(an example of FEm computation)

复合材料损伤，复合材料层间分层，损伤，刚度退化、衰减(Composite damage, delamination of composite layers, damage, stiffness degradation, attenuation)

改进的混沌引力搜索算法，程序有详细注释和相应的文献(The improved chaotic gravitational search algorithm has detailed annotations and corresponding documents.)