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Focusing on the fundamentals of data organization and retrieval, this textbook introduces essential algorithms and techniques for solving algorithmic problems, particularly in the context of modern parallel processing. It balances theoretical concepts with practical applications, covering a range of topics from basic data structures like arrays and linked lists to advanced graph algorithms and optimization strategies. The authors also address contemporary issues such as algorithm engineering and memory hierarchies, reflecting the shift towards performance-critical applications in teaching algorithms.
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Sequential and Parallel Algorithms and Data Structures, Peter Sanders, Kurt Mehlhorn, Martin Dietzfelbinger, Roman Dementiev
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- Année de publication
- 2020
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