▍1. waidianniudun
外点牛顿法,十个参数,可以解决带有约束条件的非线性规划问题。(External point Newton, with dozens of parameters that can solve linear programming problems with constraints)
外点牛顿法,十个参数,可以解决带有约束条件的非线性规划问题。(External point Newton, with dozens of parameters that can solve linear programming problems with constraints)
说明: matlab调用cplex12.1的例子,这些例子对matlab的cplex接口函数做了非常详细的说明,适用于cplex-matlab的初学者(matlab call cplex12.1 the examples that the cplex interface function of matlab to do a very detailed explanation for beginners cplex-matlab)
样条插值算法的matlab代码,包括一次样条插值,二次样条插值和三次样条插值,可根据需要选择(Spline interpolation algorithm matlab code, including a spline interpolation, quadratic spline interpolation and cubic spline interpolation, can be selected)
fluent中用于修改湍流粘度系数的自定义函数(udf to modify turbulence viscosity coefficient in fluent)
说明: 通过面积加权在abaqus程序中提取温度作用数据,计算极值(The temperature action data was extracted by area weighting in abAQUs program and the extreme value was calculated)
基于内点法的最优潮流计算,跟踪中心轨迹内点法最优潮流程序 实现了有功损耗最小的经济分配。(Optimal power flow calculation based on interior point method, the point-of-flight optimal power flow program in the tracking center trajectory achieves the economic distribution with the least active loss.)
MFC实现快速傅里叶变换(FFT)MFC实现快速傅里叶变换(FFT)(MFC MFC Fast Fourier Transform (FFT) fast Fourier transform (FFT))
用matlab来模拟温度场,准确度高,具有参考价值。(yong matlab lai moni wenduchang ,zhuquedugao ,juou cankaojiazhi .)
基于解相干的MUSIC源程序 矩阵分解算法 Toeplitz算法 矢量奇异值法 双向空间平滑MUSIC源程序(Based on decorrelation MUSIC algorithm source Toeplitz matrix factorization algorithms singular value vector bi source spatial smoothing MUSIC)
基于解相干的MUSIC源程序 矩阵分解算法 Toeplitz算法 矢量奇异值法 双向空间平滑MUSIC源程序(Based on decorrelation MUSIC algorithm source Toeplitz matrix factorization algorithms singular value vector bi source spatial smoothing MUSIC)
利用Mathematica实现数值分析,包括Gauss-Seidel迭代,Jacobi迭代法,SOR法,牛顿迭代法等(Mathematica is used to realize numerical analysis, including Gauss-Seidel iteration, Jacobi iteration, SOR method, Newton iteration method, etc.)
LMS算法对线性色散信道的自适应均衡,并且信道的加性噪声为未知(the use of the LMS algorithm for adaptive equalization of a linear dispersive channel that produces (unknown) distortion)
自己写用于雷达直达波对消的m文件,通过抑制直达波提高目标回波信噪比(Write their own radar direct wave for the cancellation of the m documents, by inhibiting the direct wave enhance target echo signal to noise ratio)
% 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)
修正剑桥模型在不排水条件下的源程序,很有用,是最近做项目是研究的课题。(cambridge with fortran)
4阶龙格库塔解二阶微分方程,使用matlab软件编程进行渐进计算。(4th order Runge-Kutta solution of second-order equations)
故障频率计算程序,计算轴承各部件的故障频率(Failure rate calculation program to calculate the bearing parts of the fault frequency)
说明: 提取信号时域特征,频域特征,以及时频域特征,小波变换(Extract signal time domain features)
利用Abaqus子程序UAMP实现PID控制。(PID control is implemented using the Abaqus subroutine UAMP.)