Graph-Theoretic Concepts in Computer Science [recurso electrónico] : 37th International Workshop, WG 2011, Teplá Monastery, Czech Republic, June 21-24, 2011. Revised Papers / edited by Petr Kolman, Jan Kratochvíl.

Por: Kolman, Petr [editor.]Colaborador(es): Kratochvíl, Jan [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6986Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XI, 344 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642258701Tema(s): Computer science | Computer Communication Networks | Data structures (Computer science) | Computer software | Computational complexity | Algorithms | Geometry | Computer Science | Discrete Mathematics in Computer Science | Algorithm Analysis and Problem Complexity | Geometry | Algorithms | Computer Communication Networks | Data StructuresFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 004.0151 Clasificación LoC:QA76.9.M35 Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: This book constitutes the revised selected papers of the 37th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2011, held at Teplá Monastery, Czech Republic, in June 2011. The 28 revised papers presented were carefully reviewed and selected from 52 submissions. The workshop aims at merging theory and practice by demonstrating how concepts from graph theory can be applied to various areas in computer science, and by extracting new graph theoretic problems from applications.
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This book constitutes the revised selected papers of the 37th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2011, held at Teplá Monastery, Czech Republic, in June 2011. The 28 revised papers presented were carefully reviewed and selected from 52 submissions. The workshop aims at merging theory and practice by demonstrating how concepts from graph theory can be applied to various areas in computer science, and by extracting new graph theoretic problems from applications.

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