A unique probabilistic approach to studying pattern matching problems in computer science, telecommunications, molecular biology and more.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Philippe Jacquet is a Research Director at INRIA, a major public research lab in computer science in France. He has been a major contributor to the Internet OLSR protocol for mobile networks. His research interests involve information theory, probability theory, quantum telecommunication, protocol design, performance evaluation and optimization, and the analysis of algorithms. Since 2012 he has been with Alcatel-Lucent Bell Labs as head of the department of Mathematics of Dynamic Networks and Information. Jacquet is a member of the prestigious French Corps des Mines, known for excellence in French industry, with the rank of 'Ingenieur General'. He is also a member of ACM and IEEE.
Inhaltsangabe
Preface Acknowledgements Part I. Analysis: 1. Probabilistic models 2. Exact string matching 3. Constrained exact string matching 4. Generalized string matching 5. Subsequence pattern matching Part II. Applications: 6. Algorithms and data structures 7. Digital trees 8. Suffix trees and Lempel-Ziv'77 9. Lempel-Ziv'78 compression algorithm 10. String complexity Bibliography Index.
Preface Acknowledgements Part I. Analysis: 1. Probabilistic models 2. Exact string matching 3. Constrained exact string matching 4. Generalized string matching 5. Subsequence pattern matching Part II. Applications: 6. Algorithms and data structures 7. Digital trees 8. Suffix trees and Lempel-Ziv'77 9. Lempel-Ziv'78 compression algorithm 10. String complexity Bibliography Index.
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