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The SAGE Graph Theory Project
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 * Brendan McKay's isomorphism algorithm has been replicated for the open source community (it is called "nice", as opposed to "nauty").  * Brendan !McKay's isomorphism algorithm has been replicated for the open source community (it is called "nice", as opposed to "nauty").
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 * On Apr. 21, 2007, Emily presented a poster introducing the SAGE graph theory package at East Coast Computer Algebra Day.
 * On Apr. 27, 2007, Emily gave a talk introducing the (almost complete) sqlite database.
 * On Apr. 21, 2007, Emily presented a [http://sage.math.washington.edu/home/ekirkman/ECCAD.ppt poster (ppt)] introducing the SAGE graph theory package at East Coast Computer Algebra Day.
 * On Apr. 27, 2007, Emily gave a [http://sage.math.washington.edu/home/ekirkman/2007_04_27.html talk] introducing the (almost complete) sqlite database.

TableOfContents

The SAGE Graph Theory Project

Introduction

  • We are implementing graph objects and algorithms in ["SAGE"]. The main people working on this project are Emily Kirkman and Robert Miller.

Current Status

  • NetworkX base classes have been interfaced, and all functions are soon to follow.
  • Jason Grout's (Brigham Young) SQL lite graph database is almost finished, and when it is done, it will be interfaced by Emily.
  • Jim Morrow (UW) has expressed interest in using SAGE for his [http://www.math.washington.edu/~morrow/reu07/reu.html summer REU] on graphs. Robert is working on implementing electrical networks, which includes implementing edge weights and graphs with boundary.

  • Chris Godsil (Waterloo) has expressed interest in helping design a more general discrete math package in SAGE.
  • Brendan McKay's isomorphism algorithm has been replicated for the open source community (it is called "nice", as opposed to "nauty").

  • Graph plotting has been implemented in two dimensions:

C = graphs.CubeGraph(9)
color = {}
for v in C.vertices():
    b = v.count('1')/9
    g = 1 - b
    if color.has_key((0, g, b)): color[(0, g, b)].append(v)
    else: color[(0, g, b)] = [v]
C.show(vertex_labels=False, node_size=60, graph_border=True, color_dict=color, figsize=[9,8])

attachment:9_cube.png

Talks

Other wiki pages

graphs_query.show_graphs(with_properties=True, nodes=7, diameter=5)

attachment:database.png

graph (last edited 2009-11-29 06:48:46 by newacct)