doe-papers

详细介绍wincvs的使用，可以让初学者掌握如何使用wincvs进行文件版本管理(Details wincvs use, allowing beginners to learn how to use wincvs for file version management)

2013年研究生数学建模比赛某题目使用的高斯扩散模型(In 2013 the Graduate School of mathematical modeling competition a subject using the Gauss diffusion model)

运行源程序channel-coeff后，可以产生MIMO衰落信道，用I-METRA方法对信道衰落进行建模( After running the source channel-coeff, can produce MIMO fading channels, with I-METRA channel fading method for modeling)

基于块的解扩重扩多目标算法性能--Block Based RLS De-spread Re-spread Multitarget Array Algorithm and Performance (Block Based RLS De-spread Re-spread Multitarget Array Algorithm and Performance )

“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：把各条弧上单位流量的费用看成某种长度，用Floyd求最短路的方法确定一条自V1至Vn的最短路；再将这条最短路作为可扩充路，用求解最大流问题的方法将其上的流量增至最大可能值；而这条最短路上的流量增加后，其上各条弧的单位流量的费用要重新确定，如此多次迭代，最终得到最小费用最大流。 (" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)

svpwm 模型 可用于三相PWM整流 电机控制，参数可调(svpwm model can be used for three-phase PWM rectifier motor control, parameter adjustable)

用matlab做方差分析的几个例程包括：单因素一元方差分析，双因素一元方差分析 非参数方差分析(ANOVA using matlab to do a few routines include: single-factor analysis of variance one yuan, two-factor analysis of variance one yuan non-parametric analysis of variance)

CFD计算中的RANS湍流模型中，入口处的K和e的初始化(Initialization of K and e at the entrance of RANS turbulence model in CFD calculation)

Creation, transformations, algorithms and visualization of geometrical 3D primitives, such as points, lines, planes, polyhedra, circles and spheres.

face recognition angular radial transform