c12

这个向导中包含教你如何用GAMBIT来创建和网格各种几何体的一步步例子。每个例子图解说明了关于GAMBIT几何体创建和网格产生的至少一个新概念。(This guide includes teaching you how to create and mesh a variety of GAMBIT geometry step by step examples. Each case illustrates the geometry on the GAMBIT mesh to create and produce at least a new concept.)

说明：  c常用函数，适合初学者使用，里面有详细的注释(c common function, for beginners, there are detailed notes)

impact of statcom on wind farm

Calculo de los coeficientes de actividad por el metodo UNIFAC cuaternario para mezcla de acido acetico n butanol produciendo agua y acetato de nbutilo

人工智能课的一些作业，对选人工智能这门课的有很大帮助(Artificial Intelligence course some of the work on artificial intelligence selection of great help for this class)

This software is provided free of charge. As such, the authors assume no responsibility for the programs behavior. While they have been tested and used in-house for three years, no claim is made that biased ARTMAP implementations are correct or bug-free. They are used and provided solely for research and educational purposes. No liability, financial or otherwise, is assumed regarding any application of biased ARTMAP.

2007年全国大学生数学建模获奖论文所需程序代码，其中有较详细的matlab编程，应该有些用处吧(Mathematical Contest in Modeling 2007, papers required for award-winning code, including more detailed matlab programming, it should be of some use)

自动绘制PDB分子结构的matlab脚本程序包 界面友好，图像很精美。(Automatic drawing PDB molecular structure of matlab scripts package user-friendly, image is very beautiful.)

Function pitch, find the main pitch period value of a voice record...

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)