搜索资源列表
mColor
- 图论：图的M着色问题 GraphM.h GraphOpr.h mColor.cpp mColor.dsp mColor.dsw mColor.h mColor.ncb mColor.opt mColor.plg test test.gph-graph theory : Figure M Coloring GraphM.h GraphOpr.h mColor.cpp mColo r.dsp mColor.dsw mColor.h mColor.ncb m
tulun
- 本程序是关于图论的一个程序，对图论中各个定点着色进行了分析
GCPanneal2
- 图论研究中的图着色问题的matlab程序，非常好用啊！
simulated annealing
- 模拟退火算法求解经典图论中的图着色问题的源程序-simulated annealing algorithm classic graph coloring map of the source
GrTheory-Matlab-toolbox
- 图论应用研究广泛，如最短路问题，最小生成树问题，最大费用流问题，最优匹配问题，网络可靠性问题，图的着色问题，最优序列设计问题，等等。这是一个强大而通用的基于matlab的工具箱 -Graph toolbox
Cognitivenetworkcoloringbasedongraphheorymodelofth
- 认知网络中基于图论着色模型的频谱分配算法的分析-Cognitive network coloring based on graph theory model of the analysis of spectrum allocation algorithm
Basedonthecognitivenetworkofgraphcoloringmodelofth
- 本文研究了认知网络中基于图论着色模型的频谱分配算法。-This paper studies the cognitive network model based on graph theory spectrum allocation algorithm for coloring.
Graphalgorithm
- 图论算法实现，含树，欧拉圈，霍夫曼编码，图的连通性，着色树，最短路径等，且采用加载皮肤界面，界面美观-Graph algorithms, including trees, Euler circles, Huffman coding, graph connectivity, coloring trees, shortest paths, and the interface with loads of skin, beautiful interface
Graph-theory
- 本文档主要讲解了基于图论着色的动态频谱分配研究，可以让大家快速的学习认知无线电中的频谱分配-This document is mainly on the dynamic spectrum allocation based on graph coloring theory research, so that we can quickly learn the spectrum allocation in cognitive radio
t6u3vw.ZIP
- 一种改进的颜色敏感图论着色算法An improved color sensitive graph coloring algorithm-An improved color sensitive graph coloring algorithm
ssimmulatedani
- 模拟退火算法求解经典图论中的图着着色问题的源程序源码 -Simulated annealing algorithm for coloring problems in classical graph theory diagram with source code
PicThery
- 这个程序实现与Matlab的优化工具箱下，用于给图进行边着色。包含了很多图论的程序，如计算最大割集、连通度、最小覆盖边数等等…… -This program is implemented with Matlab Optimization Toolbox for graph edge coloring. Contains a lot of graph theory program, such as the calculation of the maximum cut sets, connect
tulun
- matlab图论着色，内涵可以实现简单的图论着色源代码，实现计算色的多项式等功能-the matlab graph theory coloring
Coloring-Problem
- 图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。-Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most
color
- 用于图论里面求最小着色数，这么长可以了吗-my english is really poor, dunt know how to translate it
图论着色CSGC
- 针对图着色问题所用的一种敏感图论算法，解决路线着色问题。(A sensitive graph theory algorithm for graph coloring problem is used to solve the problem of route coloring.)
图论着色的相关代码分析
- 此为大四的毕业设计论文的相关代码，题目是《有关图论着色问题非算法模型的建立与设计》，代码成功率极高。且多方面对图论着色进行了分析，同时也是这份代码被评为了优秀毕业设计论文。(This is the code of graduation thesis for senior students. The topic is "the establishment and design of non algorithmic model for graph coloring problem"
GrTheory
- 多种图论算法的matlab实现 例如：% ntest=1 - grBase求有向图的基 % ntest=2 - grCoBase求有向图的逆基 % ntest=3 - grCoCycleBasis求连通图的基本割集 % ntest=4 - grColEdge图的边着色（边染色） % ntest=5 - grColVer图的点着色（节点染色）(% grBase - find all bases of digraph; % grCoBase - find all contrabases