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山农的通信的数学方法。是信息论的奠基性文章。(Shannong mathematical methods of communication. Is the foundation of information theory article.)

用于解决投入产出问题的RAS算法，已知矩阵的行和和列和，可以求出矩阵的具体值。(For the RAS algorithm to solve the problem of input and output. We know the rows and columns of the matrix,then the specific value of the matrix can be calculated.)

高超声速飞行器上升轨迹优化计算。采用勒让德伪谱法直接优化方法。(trajectory optimization of hypersonic craft program with legendre method)

最小二乘拟合的matlab程序，用于数据处理。简单，易懂(The least squares fitting matlab program for data processing.Simple, easy to understand)

％ 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)

Fortrann 77的集成 开发环境，可以在 IDE的环境下编辑、 编译、运行源程序(Fortrann 77 integrated development environment, IDE environment editing, compiling, running source)

稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。 CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序(Sparse matrix DIA/ELLPACK/COO/CSR/HYB representation, as well as the representation of the sparse matrix multiplication (large sparse matrix* vector)' s CUDA implementation. For each row of the sparse matrix representing the number of elements the case of unification, ELLPACK that the best, followed by HYB (ELL+COO). NVIDIA CUDA ™ is introduced by a general purpose parallel computing architecture that makes the GPU to solve complex computational problems. It contains the CUDA Instruction Set Architecture (ISA) and the GPU parallel computing engine. Developers can now use the C language to write programs for the CUDA ™ architecture)

实现任意结构阵列的恒定束宽波束形成法，采用贝塞尔函数分解(Realize the structure of arrays of arbitrary constant beamwidth beamforming method, the use of Bessel function decomposition)

基于递推公式的MATLAB切比雪夫级数程序，能计算N阶多项式(Based on the recursive formula MATLAB Chebyshev series program, we can compute N order polynomials.)

可以对高温状态下的混凝土材料进行准确的塑型模型构建(It can be used to construct accurate plastic model of concrete under high temperature)