FLUENT-Y_Plus

计算分维的程序，很好用，可根据需要随意调用(Calculate fractal dimension program, easy to use, can feel free to call)

用流体计算李指数的。是用excel中的vba做的小程序。(calculated the lyapunov exponent)

一个简单的悬臂梁基于Python有限元程序，包括了计算程序，模型数据(A simple cantilever Python-based finite element program, including a computer program, data model)

该算法，先对协方差矩阵进行休整，然后用信息论的方法得出信号的源数，这是进行空间普估计的基础(The algorithm, first on the covariance matrix for a rest, and then used information theory methods to draw a number of signal sources, it is estimated that the basis of space S )

正确率可以达到98％，抑制载波型差分相位调制，数据包传送源码程序。( Accuracy can reach 98 , Suppressed carrier type differential phase modulation, Data packet transfer source program.)

说明：  共轭梯度法求解线性方程组,主要采用FR共轭梯度法(solve liner solutions from CG)

最小二乘估计法在直流电机参数估计中的一个应用，在只已知输入输出数据的情况下，就可以获得电机的内部参数。(DC motor parameter estimation least squares estimation method, in the case of known input and output data only, you can get the internal parameters of the motor.)

％ 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)

这个程序分别用二分法，Newton法，弦截法，Newton下山法等算法求解非线性方程(this procedure were used dichotomy, Newton, String interception, Newton downhill law for solving nonlinear equations)

说明：  求解黎曼问题格式Roe格式FORTRAN编程(Solution of Riemannian problem format roe format FORTRAN programming)