文件名称:EppsteinAlgorithm

  • 所属分类:
  • 绘图程序
  • 资源属性:
  • [Windows] [Linux] [Python] [源码]
  • 上传时间:
  • 2015-11-28
  • 文件大小:
  • 1.21mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • bri***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

The algorithm developed by Eppstein not looking for simple paths. In

Indeed, the paths returned by the algorithm may contain rings or

loops. It applies only on graphs where the weights are positive.

This algorithm is based on extensive use of heap. These piles will allow

construct a graph of P such that the maximum level is 4 and a path

in P corresponds to a path in the starting graph.

A Python scr ipt (ksp.py) is provided in order to test both algorithms

directly the command line. The parameters are the file name

containing the graph, the origin of the roads, the roads end and the number

paths. It should also add the -a option followed by the choice of algorithm

(Eppstein or yen). Two additional optional parameters have been added:

-s which saves the graph in an image whose name is passed

-p parameter and that saves the graph P generated Eppstein algorithm.

Both options require Graphviz to generate images and the

library PyGraphviz-The algorithm developed by Eppstein not looking for simple paths. In

Indeed, the paths returned by the algorithm may contain rings or

loops. It applies only on graphs where the weights are positive.

This algorithm is based on extensive use of heap. These piles will allow

construct a graph of P such that the maximum level is 4 and a path

in P corresponds to a path in the starting graph.

A Python scr ipt (ksp.py) is provided in order to test both algorithms

directly the command line. The parameters are the file name

containing the graph, the origin of the roads, the roads end and the number

paths. It should also add the -a option followed by the choice of algorithm

(Eppstein or yen). Two additional optional parameters have been added:

-s which saves the graph in an image whose name is passed

-p parameter and that saves the graph P generated Eppstein algorithm.

Both options require Graphviz to generate images and the

library PyGraphviz
(系统自动生成,下载前可以参看下载内容)

下载文件列表





heap.py

ksp.py

measures.py

README.txt

graphs\complete.txt

......\exampleEppstein.svg

......\exampleEppstein.txt

......\exampleEppsteinP.svg

......\exampleYen.svg

......\exampleYen.txt

......\exampleYenP.svg

......\format.txt

......\twopaths.svg

......\twopaths.txt

networkx\algorithms\approximation\clique.py

........\..........\.............\clustering_coefficient.py

........\..........\.............\dominating_set.py

........\..........\.............\independent_set.py

........\..........\.............\matching.py

........\..........\.............\ramsey.py

........\..........\.............\tests\test_approx_clust_coeff.py

........\..........\.............\.....\test_clique.py

........\..........\.............\.....\test_dominating_set.py

........\..........\.............\.....\test_independent_set.py

........\..........\.............\.....\test_matching.py

........\..........\.............\.....\test_ramsey.py

........\..........\.............\.....\test_vertex_cover.py

........\..........\.............\vertex_cover.py

........\..........\.............\__init__.py

........\..........\.ssortativity\connectivity.py

........\..........\.............\connectivity.pyc

........\..........\.............\correlation.py

........\..........\.............\correlation.pyc

........\..........\.............\mixing.py

........\..........\.............\mixing.pyc

........\..........\.............\neighbor_degree.py

........\..........\.............\neighbor_degree.pyc

........\..........\.............\pairs.py

........\..........\.............\pairs.pyc

........\..........\.............\tests\base_test.py

........\..........\.............\.....\test_connectivity.py

........\..........\.............\.....\test_correlation.py

........\..........\.............\.....\test_mixing.py

........\..........\.............\.....\test_neighbor_degree.py

........\..........\.............\.....\test_pairs.py

........\..........\.............\__init__.py

........\..........\.............\__init__.pyc

........\..........\bipartite\basic.py

........\..........\.........\basic.pyc

........\..........\.........\centrality.py

........\..........\.........\centrality.pyc

........\..........\.........\cluster.py

........\..........\.........\cluster.pyc

........\..........\.........\projection.py

........\..........\.........\projection.pyc

........\..........\.........\redundancy.py

........\..........\.........\redundancy.pyc

........\..........\.........\spectral.py

........\..........\.........\spectral.pyc

........\..........\.........\tests\test_basic.py

........\..........\.........\.....\test_centrality.py

........\..........\.........\.....\test_cluster.py

........\..........\.........\.....\test_project.py

........\..........\.........\.....\test_spectral_bipartivity.py

........\..........\.........\__init__.py

........\..........\.........\__init__.pyc

........\..........\block.py

........\..........\block.pyc

........\..........\boundary.py

........\..........\boundary.pyc

........\..........\centrality\betweenness.py

........\..........\..........\betweenness.pyc

........\..........\..........\betweenness_subset.py

........\..........\..........\betweenness_subset.pyc

........\..........\..........\closeness.py

........\..........\..........\closeness.pyc

........\..........\..........\communicability_alg.py

........\..........\..........\communicability_alg.pyc

........\..........\..........\current_flow_betweenness.py

........\..........\..........\current_flow_betweenness.pyc

........\..........\..........\current_flow_betweenness_subset.py

........\..........\..........\current_flow_betweenness_subset.pyc

........\..........\..........\current_flow_closeness.py

........\..........\..........\current_flow_closeness.pyc

........\..........\..........\degree_alg.py

........\..........\..........\degree_alg.pyc

........\..........\..........\dispersion.py

........\..........\..........\dispersion.pyc

........\..........\..........\eigenvector.py

........\..........\..........\eigenvector.pyc

........\..........\..........\flow_matrix.py

....

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