Matlab-bifurcation-diagram-program

code for the spanning tree.

This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the objective function d for this non linear optimization problem. The Particle Swarm c Optimization (PSO) is a high performance stochastic global b optimization tool that ensures the minimization of the objective a function,

This page contains software and instructions for factorized graph matching (FGM)

matlab实现，附带数据，并有显示结果图的功能，很方便用的(It s implemented using matlab with data as attachment. It also has the function of showing the result and is very convenient to use.)

NSIS NSIS图文教程集锦，方便大家做软件安装程序，有很多有用的小技巧(NSIS NSIS Photo Gallery tutorial, we facilitate a software installation program, there are many useful tips)

运用古典隐式方法模拟二维空间中声波的传播，求解工程用了追赶法(The dissemination of the classical implicit simulation method of acoustic wave in two-dimensional space, solving project was chasing method)

一篇很好的基于特征点的图像配准算法研究论文，很有参考意义！(A good feature points based image registration algorithm research papers, meaning a good reference!)

重心法和模糊层次分析法的配送中心选址方法的结合(Center of gravity method and the combination of fuzzy AHP method of distribution center location)

this is a simulink matlab for syncronous machine.

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)