二维网格划分

运用矩阵摄动法求解结构的复模态参数与动力特性等(Application of Matrix Perturbation Method for Solving Complex Modal Parameters and other dynamic characteristics of the structure)

用C语言来求解n维线性方程组的解，即高斯消元法求解线性方程组(Gaussian elimination method with n-dimensional linear equations)

求矩阵奇异分解svd算法，共计4种实现方式，(for SVD matrix decomposition algorithm, for a total of four kinds of achievement,)

学习fortran的必备，simple算法，拥有完整注释，便于学习交流，是快速学习数值传热学的利器(Learning fortran essential, simple algorithm, with complete notes, facilitate learning exchanges)

this is a source code written in the matlab format for the teaching learning optimization algorithm.

增广拉格朗日乘子方法求解RPCA问题的方法，得到矩阵的稀疏成分和低秩成分。(argumented lagrange multiplier method that can make matrix be decomposed to a sparse matrix and low-rank matrix.)

邻带计算，高斯正反算，可以实现测绘系统内简单的转换计算，但是是基于80坐标系统的。(failed to translate)

一个自己写的，生成BA无标度网络并计算其度分布的程序，fortran77格式，并附图一张，数据一份。(A program written myself, which can generate the BA scale-free networks and calculate the degree distribution , fortran77 format attachment is a drawing and data.)

说明：  abaqus子程序学习资料，欢迎大家下载学习，共同讨论~(ABAQUS subroutine learning materials)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.