pmsys

油藏一维一相数值模拟，使用不同方法进行比较有，显式差分格式，隐式差分格式，及精确解的比较(One phase of one-dimensional numerical reservoir simulation, using different methods compared, explicit difference scheme, implicit difference scheme, and the comparison of exact solution)

optimization program

log transfermation of an image

随机产生序列u(n),计算自相关系数并且计算功率谱密度(Randomly generated sequence u (n), calculated from the correlation coefficient and calculate the power spectral density)

一组用来计算不同参考椭球下的坐标变换函数(Geodetic Transformations A set of functions to calculate coordinate transformations between different reference ellipsoids and different projections.)

This paper is the result of a literature study carried out by the authors. It is a review of the dierent attempts made to solve the Travelling Salesman Problem with Genetic Algorithms. We present crossover and mutation operators, developed to tackle the Travelling Salesman Problem with Genetic Algorithms with dierent representations such as: binary representation, path representation, adjacency representation, ordinal representation and matrix representation. Likewise, we show the experimental results obtained with dierent standard examples using combination of crossover and mutation operators in relation with path representation. Keywords: Travelling Salesman Problem Genetic Algorithms Binary representation Path representation Adjacency representation Ordinal representation Matrix representation Hybridation. 1 1 Introduction In nature, there exist many processes which seek a stable state. These processes can be seen as natural optimization processes. Over the last...

1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合(1、Classification_LS_SVMlab.m 2、Classification_OSU_SVM.m 3、Classification_stprtool.m 4、Classification_SVM_SteveGunn.mRegression_SVM_SteveGunn.m )

its a ml decoder for alamouti code detection

实现兰乔斯迭代，瑞利商迭代，幂迭代，和grme算法(The realization of ranchos iteration, Rayleigh quotient iteration, power iteration, and algorithm grme)

说明：  可以方便的计算混沌系统的李雅普诺诺夫指数，只要改变其动力方程即可。(Chaotic system can easily calculate the lyapunov exponent, as long as you change the power equation)