gngaussfunc.doc

This is an ant colony optyimizationtechnique for path planning

matlab po slovensky nieco

this is a very good book for learners of Visual C++. As a beginner i found this was very useful for me. And i hope it will be very useful for those who are interested to learn Visual C++.

Finite element analysis with matlab codes

多变量系统的分析和研究,就最大对数模值的分析方法进行仿真( Multivariable systems analysis and research, and analysis methods in relation to the maximum value of the digital-to-analog simulation)

说明：  QPSK（四进制相移键控）信号调制解调过程（经高斯信道）的仿真(QPSK (quaternary phase shift keying) signal modulation and demodulation process (by the Gaussian channel) of the simulation)

说明：  物流分析工具包。Facility location: Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated facility location Vehicle routing: VRP, VRP with time windows, traveling salesman problem (TSP) Networks: Shortest path, min cost network flow, minimum spanning tree problems Geocoding: U.S. city or ZIP code to longitude and latitude, longitude and latitude to nearest city, Mercator projection plotting Layout: Steepest descent pairwise interchange (SDPI) heuristic for QAP Material handling: Equipment selection General purpose: Linear programming using the revised simplex method, mixed-integer linear programming (MILP) branch and bound procedure Data: U.S. cities with populations of at least 10,000, U.S. highway network (Oak Ridge National Highway Network), U.S. 3- and 5-digit ZIP codes (logistics analysis tool kit. Facility location : Continuous minisum facility location, alternate location-allocation (ALA) procedure, discrete uncapacitated Vehicle routing facility location : VRP, VRP with time windows, the traveling salesman problem (TSP) Networks : Shortest path, min cost network flow, minimum spanning tree Geocoding problems : world city or ZIP code to longitude and latitude, longitude and latitude to nearest city, Mercator projection plotting Layout : Steepest descent Pairwise interchange (Constituencies) heuristic for QAP Material handling : Equipment selection General purpose : Linear programming using the revised simplex method, mixed-integer linear programming programming (MILP) branch and bound procedure Data : world cities with populations of at least 10,000, U.)

改程序的功能在matlab环境里建立PMU模型(Change the functionality of the program in the matlab environment to establish PMU model)

模式识别实验 研究“验证技术”未必会改善分类器的性能的情况(Experimental Study of Pattern Recognition, " verification" may not improve the classification performance of the situation)

说明：  模拟IPP业务源，输出序列为IPP业务源的时间间隔序列，输入为相关的参数(simulation IPP business sources, the output sequence of IPP business sources interval sequence, input parameters related to the)