Graphs and Discovery. Este artículo no está disponible.
Idioma: inglés
Editorial: American Mathematical Society, 2005
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- Nuevo

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N° de ref. del artículo B9780821837610
- Título
- Graphs and Discovery
- Autor
- American Mathematical Society
- Editorial
- American Mathematical Society
- Año de publicación
- 2005
- Estado
- New
- Encuadernación
- Hardback
- Idioma
- inglés
- ISBN 10
- 0821837613
- ISBN 13
- 9780821837610
- Peso del artículo
- 878 gramos
This volume presents topics addressed at the working group meeting and workshop on Computer-generated Conjectures from Graph Theoretic and Chemical Databases held at Rutgers University (Piscataway, NJ). The events brought together theoreticians and practitioners working in graph theory and chemistry to share ideas and to set an agenda for future developments in the use of computers for generating scientific conjectures. Articles included in the volume were written by developers of some of the most important programs used around the world today. The disciplines represented include theoretical and applied computer science, statistics, discrete and non-discrete mathematics, chemistry, and information science. The book is suitable for researchers and students interested in the use of computers in graph theory.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This volume presents topics addressed at the working group meeting and workshop on Computer-generated Conjectures from Graph Theoretic and Chemical Databases held at Rutgers University (Piscataway, NJ). The events brought together theoreticians and practitioners working in graph theory and chemistry to share ideas and to set an agenda for future developments in the use of computers for generating scientific conjectures. Articles included in the volume were written by developers of some of the most important programs used around the world today. The disciplines represented include theoretical and applied computer science, statistics, discrete and non-discrete mathematics, chemistry, and information science. The book is suitable for researchers and students interested in the use of computers in graph theory.
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