linkage_method

S-Function（系统函数）为扩展Simulink的性能提供了一个有力的工具，本书介绍了如何编写S-Function(S-Function (system function) for the extension of the performance of the Simulink provides a powerful tool, this book describes how to write S-Function)

采用线性卡尔曼滤波估计阻尼简谐振荡器的速度和位置(demonstration of a Kalman filter estimating the state (position and velocity) of a damped harmonic oscillator with constant forcing.)

tabu search for vehicle routing problem

MATLAB 课本实例教程 MATLAB 课本实例教程MATLAB 课本实例教程MATLAB 课本实例教程(MATLAB)

完数判断，判断一个数是否为完数的代码C++,还行哦 嘿嘿(After the number of judgments to determine whether a number code for the complete number of C++ okay Oh Hey)

Codigo que realiza la detección de bordes por sobel

利用cv模型实现对目标的跟踪，与大家分享(To achieve the target tracking by using CV model, to share with you)

数字图像处理课程上机实验4_Matlab图像锐化-Sobel，Laplacian算子(Digital Image Processing courses on experiments 4_Matlab image sharpening-Sobel, Laplacian operator)

wireless sensor networks are required to share one wireless channel among several sensor nodes. An efficient media access control (MAC) protocol must be developed and implemented on hardware. This MAC must be easily used by future users on the target hardware. The MAC should avoid data collision and posses strong speed of transmission.

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.