psoToolbox

无线传感器网络的APIT定位算法,作为参考例程.(Wireless sensor networks APIT localization algorithm, as a reference to routine.)

国外Lupash Consulting公司开发的GPS工具箱，内有详细的使用手册，功能全面强大。非常好用(Lupash Consulting abroad GPS kit developed with a detailed user manual, full-featured powerful. Very good)

二次规划师非线性优化中的一种特殊情形，它的目标函数是二次实函数，约束函数都是线性函数。由于二次规划比较简单，便于求解（仅次于线性规划），并且一些非线性优化问题可以转化为求解一些列的二次规划问题，因此二次规划的求解方法较早引起人们的重视，称为求解非线性优化的一个重要途径。二次规划的算法较多，本文仅介绍求解等式约束凸二尺规划的拉格朗日方法以及求解一般约束凸二次规划的有效集方法。(Quadratic nonlinear optimization planners in a special case, its real objective function is a quadratic function, constraint functions are linear functions. Because of quadratic programming is relatively simple and easy to solve (after linear programming), and some non-linear optimization problem can be transformed into solving quadratic programming problems some columns, solving quadratic programming method therefore attracted attention earlier, saying an important way for solving nonlinear optimization. More quadratic programming algorithm, this paper describes only two feet Solving the Equality Constrained Convex Programming effective Lagrangian method and set method for solving general constrained convex quadratic programming.)

说明：  用于LFM的分析与生成，可用于仿真雷达信号等(For analysing LFM,it can be used in radar signal and some places.)

数值计算中Jacobi迭代法的Matlab程序 (numerical calculation Jacobi iteration of the Matlab program)

盲源分离中最为经典的不动点算法——FastICA,该算法简单，对初学者有很大的帮助(Blind Source Separation in the most classical fixed-point algorithm- FastICA, the algorithm is simple, for beginners there is a great help)

Rough set theory can be regarded as a new mathematical tool for imperfect data analysis.The theory has found applications in many domains,such as decision support, engineering, environment, banking, medicine and others.

function to compute an expression using int value parameters throw an exception of type illegalParameterValue in case one of the parameters is <= 0

this file to try to get the half pattern after getting fft

mulan实现多标签分类，内含多个重要的分类器，乃是分类中的精华(Mulan implementation of multi label classification, containing multiple important classifier, is the essence of the classification)