variance

空间计量经济学中空间面板模型的matlab实现程序(Space panel model of spatial econometrics matlab program)

learning matlab programming

禁忌搜索算法解决0/1整数规划NP难问题(Tabu Search Algorithm for 0/1 integer programming problem NP hard)

matlab 详细说明书，学习matlab的好帮手，包括内容，常用函数，语音信号分析，进阶的绘图功能 频道滤波 等(Matlab detailed brochures, learning Matlab's helping hands, including the contents of commonly used functions, Voice Signal Analysis, advanced mapping functions such as channel filtering)

生命游戏不错的学习资料 好好学习吧 生命游戏不错的学习资料 好好学习吧(Game life)

erikson chapter8 solved problems

面对大学繁琐的物理化学实验数据，本文提供了用matlab处理的常用方法(The face of the University of complicated physical and chemical experimental data, this paper provides a common method of dealing with matlab)

2012 IEEE MATLAB A Novel Data Embedding Method Using Adaptive Pixel Pair Matching

利用optisystem软件仿真半导体激光器的P-I特性曲线。得到的图形遵循在超过阈值电流之后，输出光功率与电流成线性关系规律。(Using software optisystem simulation P- I characteristics of semiconductor laser curve.The graphics follow after more than threshold current, a linear relationship with the output light power and current laws.)

The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. (The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo. )