conjugate

介绍箱梁的有限元建模 网格划分 边界条件 加载 求解的命令流(Introduction of finite element modeling of the box girder meshing load boundary conditions for solving the command stream)

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，合成孔径雷达（SAR)目标成像仿真，脉冲响应的相关分析算法并检验。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Synthetic Aperture Radar (SAR) imaging simulation target, Related impulse response analysis algorithm and inspection.)

FCTVOF的主程序,其中FCTVOF是求解关于VOF值的运输方程的一种经典算法，可求出各时刻的各网格的VOF值，从而利用界面重构技术实现界面的重构。(FCTVOF main program, including FCTVOF is for solving the transport equation of VOF value a classic algorithm, can calculate the VOF value of each moment of each grid, so as to make use of the interface to refactor the technical implementation interface. )

说明：  主要用于Fluent 中风剖面、湍流剖面以及耗散率剖面的开发，应用的是日本的规范。(It is mainly used for the development of fluent stroke profile, turbulence profile and dissipation rate profile, and it is applied to the specifications of Japan.)

文件为C#矩阵运算类，包含了多种形式的矩阵定义，能够进行多种矩阵运算，如矩阵四则运算、求逆、转置等，十分方便用于实际开发。(File for the C# matrix operations class, contains the definition of various forms of matrix, to carry out a variety of matrix operations, such as matrix arithmetic, inversion, transpose, etc., is very convenient for actual development.)

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.

超级好用的书，面试必备，包括常用的算法介绍，面试题目等等(Super easy to book, interview essential, including the commonly used algorithm is introduced, interview questions, etc.)

是ABAQUS有限元模拟软件的子程序，主要研究损伤断裂(a subroutine of ABAQUS for damage and fracture )

一维最小移动二乘法拟合位移场的无网格方法算例。(ONE-DIMENSIONAL MLS APPROXIMATION)

一种求解低秩矩阵和稀疏矩阵的方法，在图像中的应用广泛。(a inprove method to find low-rank and sparse matrix。)