Mathematica

基于matlab GUI的传输线上不同负载时对应的波形图( Matlab GUI-based transmission line load corresponding to the different waveforms )

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

里面有论文，matlab的GUI源码，并结合了simulink的变成和连接。()

IP1101 circuit application

Maquinas 2, eletric machines brazil!

IDL语言的基础学习案例编程，便于初学者掌握； matlab语言的基础学习案例编程，便于初学者掌握；GIS开发技巧及实例；GEODATABASE教程，便与初学者学习，循序渐进了解GEODATABASE(IDL programming language based learning cases, easy for beginners to master matlab programming language based learning cases, easy for beginners to master GIS development skills and examples GEODATABASE tutorials, and beginners will learn, step by step to understand GEODATABASE)

matlab对于Ca模拟的几个例程，包括生命游戏，表面张力，渗流集群等在内。是ca入门的好选择。(matlab for Ca simulation routines, including the Game of Life, the surface tension, percolation clusters. Ca entry.)

一个基于离散时间工作休假的排队模型的仿真程序(a simulation program of a queuing model which is based on the discrete time working vacation)

说明：  bP网络,网络的训练算法是反向传播算法，即神经元的链接权重的训练是从最后一层(BP network, network training algorithm is BP back propagation algorithm, i.e., neurons in the link weight training is from the last layer)

ARX model for a exchenger from daisy site