电力系统潮流程序设计

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

最优化的bfgs算法，是采用matlab编程(BFGS optimization algorithm, using matlab programming)

吉尔算法积分一阶微分方程组初值问题的C语言描述，包括主函数、计算微分方程组中各方程右端函数值的函数程序、计算雅克比矩阵的函数程序、矩阵求逆程序等。(GEAR algorithm integral first order differential equations initial value problem of the C language description, including the main function to calculate the differential equations in the equation right function value function procedures, functions Jacobian matrix calculation procedures, matrix inversion procedures.)

It checks whether the processes r working in safe mode or in Deadlock Condidion.....pls do the modifications as per ur requirement...as it is implemented static

一个用FTT法实现相关函数的快速估计程序(A correlation function with the FTT method to achieve the rapid estimation procedures)

弗洛伊德算法最短距离的实现，输入为邻接矩阵，输出为最短距离矩阵。(Freud' s realization of the algorithm for the shortest distance, enter the adjacency matrix output for the shortest distance matrix.)

％ 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)

说明：  三维FDTD,matlal编程,mur边界条件,平面波光源(Three-dimensional FDTD, matlal programming, mur boundary conditions, plane wave light source)

多目标遗传算法求解多目标优化问题的实际例子，运用matlab编写(Multi-objective Genetic Algorithm for multi-objective optimization problem actual examples, the use of Matlab prepared)

此代码属于地球物理领域，是用有限差分开发的直流电法三维正演，基于FORTRAN平台，此代码具有很高的运算效率，对于从事地球物理领域的人来说是不可多得的(This code belongs to the field of geophysics, is developed using finite difference method of three-dimensional forward modeling of DC, FORTRAN-based platform, this code has high computing efficiency, people engaged in geophysical field is rare)