Graph-Theoretic Concepts in Computer Science [electronic resource] : 37th International Workshop, WG 2011, Teplá Monastery, Czech Republic, June 21-24, 2011. Revised Papers / edited by Petr Kolman, Jan Kratochvíl.
Material type:
TextSeries: Lecture Notes in Computer Science ; 6986Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XI, 344 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642258701Subject(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 StructuresAdditional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA76.9.M35 Online resources: Click here to access online
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Springer eBooksSummary: 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.
E-BOOKS
| Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| IMSc Library | IMSc Library | Link to resource | Available | EBK10064 |
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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