NPSVM-dual(Nonparallel-SVM)

计算地波传输衰减的程序,可以设置高度，大气条件等(Ground wave transmission attenuation calculation program, you can set the height, atmospheric conditions, etc.)

埃特金加速法,一个数值分析中的算法,大家先看看哦(Aitken acceleration method, a numerical analysis of the algorithm, we look at the flash open her cloak)

求解旋量玻色爱因斯坦凝聚单个涡旋态的mathematics程序(Solving spinor Bose-Einstein condensates singly quantized vortex mathematics program)

适用于Engine计算的经典PISO算法(the classic PISO algorithm for the Engine calculation )

abaqus三维8节点实体单元Fortran子程序，里面有详细的注释，有单元开发兴趣的同学可以下载学习(The fortran subroutine of the 8 node solid element of ABAQUS, with detailed comments in the unit development interest students can download learning)

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)

％ 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)

模糊控制的C语言实现，双输入单输出，采用查表法进行模糊推理，去模糊方法采用重心法，易于单片机实现(C language realization of fuzzy control, double input and single output, using look-up table method for fuzzy reasoning, using center of gravity method for deblurring, easy to realize by single chip computer)

采用凸优化的理论解决优化问题，使用python语言，采用pip安装即可(The convex optimization theory is used to solve the optimization problem. Python language is used and pip is installed)

LAPACK，其名為Linear Algebra PACKage的縮寫，是一以Fortran程式語言寫就，用於數值計算的函式集。 LAPACK提供了豐富的工具函式，可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。(LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides routines for solving systems of linear equations and linear least squares, eigenvalue problems, and singular value decomposition. It also includes routines to implement the associated matrix factorizations such as LU, QR, Cholesky and Schur decomposition.)