bsplineandbezier

基于回溯法的TSP问题解决方案，附有TSP问题相关的c++和matlab解法资料，及工程文件（西电02105143）(Solution of TSP problem based on the backtracking with TSP problem related to c++ and matlab solution data and project files (Western Electric 02105143))

matlab关于模糊pid控制的资料，很不错。(matlab on fuzzy pid control information, very good.)

autre methode couple generatrice asychrone

应用模糊函数进行时延提取，进行干扰源定位作为铺垫(Application of the ambiguity function to extract the delay, interference location as foreshadowing)

内点法计算3节点系统最优潮流 3节点系统(Interior point method to calculate three-node system OPF 3-node system)

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.

kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis.(kfdemo.m Matlab is a script file to run a dem onstration of the Bayesian Kalman filter. It lo kfdemo.mat ads file (saved as version 4 so that i t will read in either v4 or v5 Matla#$#!254253#!#$C-Algorithm- XSL.zip!#$#"C algorithms suite" of source code, Shi-Liang Xu book, a lot of highly efficient C language algorithms, those self-help programming.)

desribes how to connect pscad through matlab

各种优化程序的汇总1主要为一些惩罚函数法的优化程序！(various optimization procedures summary of a major punitive function of the optimization program!)

本课件按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是一大特色。 本课件适合作为理工科高等院校研究生、本科生教学用，也可作为广大科研工程技术人员的自学。(The courseware is organized in a logical, throughout examples described complete and relatively independent of each chapter suitable for both beginners and for advanced MATLAB users. Combined with the description of MATLAB and FORTRAN, C, and other languages ​ ​ is a major feature. The courseware for science and engineering universities graduate, undergraduate teaching, can also be used as a self-study of the majority of scientific engineering and technical personnel.)