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说明：  迭代算法中的多重网格计算程序Visual C++原代码(iterative algorithm of multiple grid computing procedures Visual C source code)

FLUENT里面改进的SA湍流模型，为UDF文件，可以进行链接编译计算(FLUENT which improved SA turbulence model for the UDF file can be compiled to calculate the link)

用于焊接模拟的fluent的双椭球体热源UDF程序。(For welding simulation fluent double ellipsoid heat source UDF program.)

无迹卡尔曼滤波算法的c语言。网上找到的，貌似是老外编的，蛮不错的。(unscented kalman filter code of visual c.)

传输矩阵法用于计算光纤光栅的有效折射率，是一种经典的数学算法(Matrix function)

通过具有随机结构参数的四分之一车辆模型研究了具有不确定性结构参数的车辆在受到来自道路的随 机激励作用下的振动响应问题。将簧上质量、簧下质量、悬挂阻尼、悬挂刚度以及轮胎刚度均认为是随机变量。将路面的不平整引起的对车辆的激励看作高斯随机过程并通过简单指数功率谱密度来建立力学模型。(By a quarter vehicle model with random parameters studied vehicle structure uncertain structural parameters of the vibration by the random excitation the road response under question. The sprung mass, unsprung mass, suspension damping, suspension stiffness and rigidity of the tire are considered to be random variables. The excitation caused by uneven road vehicle regarded as Gaussian random process and to create a mechanical model of a simple exponential power spectral density.)

适用于大型稀疏矩阵 矩阵转置 c语言 来自于有限元方法编程(From the finite element method suitable for large-scale sparse matrix matrix transpose c language programming)

用C＋＋实现的高斯混合模型的算法类，方差矩阵是对角矩阵(C++ Gaussian mixture model algorithm category, variance matrix is diagonal matrix)

第一个把专家青睐的数学模型技术（NNM 算法模型）引入词汇记忆软件中，并取得了巨大的成功。NNM 算法模型与经典的“艾滨豪斯遗忘曲线”真正的融合于一体，使得该著名的理论在计算机与数学模型下第一次得到了淋漓尽致的发挥。(First a mathematical model of the popular technology expert (NNM algorithm model) the introduction of vocabulary learning software, and has achieved great success. NNM algorithm model and the classic " Ai Bin House forgetting curve" true integration in one, making the well-known theory in computer and mathematical models has been most vividly the first time under play.)

抛物方程是由赫姆霍兹方程推导而来，在计算大区域电磁传播有较大的优势，本程序是二维的情况。(Parabolic equation is derived the Herm Holtz equation, in the calculation of large areas of electromagnetic propagation has a greater advantage, the program is a two-dimensional situation.)