Graphs and Discovery, is in preparation as part of the American Mathematical Society Publications - DIMACS Volume Series:


Siemion Fajtlowicz, University of Houston, math0@Bayou.UH.EDU

Patrick Fowler, University of Exeter,

Pierre Hansen, GERAD - Ecole des Hautes Etudes Commerciales,

Melvin Janowitz, DIMACS/Rutgers University,

Fred S. Roberts, DIMACS/Rutgers University,


Papers under consideration so far:

Some history of the development of Graffiti
     Ermelinda DeLaVinna
Graffiti.pc: A Variant of Grafitti
     Ermelinda DeLaVinna
On the representation and characterization of fullerene C60.
     Siemion Fajtlowicz
What forms do interesting conjectures have in Graph Theory?
     Pierre Hansen, Mustapha Aouchiche, Giles Caporossi, Dragan Stevanovic
How far is, could and should conjecture making be automated in graph theory?
     Pierre Hansen
An updated survey of research in automated mathematical conjecture-making
     Craig Larsen
On new didactics of mathematics - Learning graph theory via grafitti
     Ryan Pepper
On some conjectures of Griggs and Graffiti
     Ermlinda DeLaVinna, Siemion Fajtlowicz and Bill Waller
Postscript on fully automated segments of graph theory
     Siemion Fajtlowitz
The structure of Fullerene signatures
     Jack Graver
The catalog of all Fullerenes with 10 or more symmetries
     Jack Graver
Mathematics for the Nanocell approach to molecular electronics
     Summer Husband, Christopher Husband, Nathaniel Dean and James Tour
Constrained generation of molecular graphs
     R. Laue, Th Gruner, M. Meringer and A. Kerber
Interactive conjecturing with Vega
     T. Pisanski, M. Boben and A. Zitnik
Discovering automated algorithms through automated learning
     E. Breimer, M. Goldberg, D. Hollinger and D. Lin
Considerations for future designers of general purpose graph software
     J. Berry
On the (1,2)-spectral spread of fullerenes
     Dragan Stevanovic and Gilles Caporossi
Variable neighborhood search for extremal graphs 9. Bounding the irregularity of a graph
     Pierre Hansen



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This material is based upon work supported by the National Science Foundation under Grant No. 0100921