Michael Drmota (Austria Technische Universitat Wien), Wojciech Szpankowski (Indiana Purdue University)

Gebundenes Buch

Analytic Information Theory

Beschreibung

Aimed at graduate students and researchers interested in information theory and the analysis of algorithms, this book explores problems of information and learning theory, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes.

Autor

Michael Drmota is Professor for Discrete Mathematics at TU Wien. His research activities range from analytic combinatorics over discrete random structures to number theory. He has published several books, including 'Random Trees' (2009), and about 200 research articles. He was President of the Austrian Mathematical Society from 2010 to 2013, and has been Corresponding Member of the Austrian Academy of Sciences since 2013.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 400
• Erscheinungstermin: 7. September 2023
• Englisch
• Abmessung: 254mm x 178mm x 22mm
• Gewicht: 900g
• ISBN-13: 9781108474443
• ISBN-10: 1108474446
• Artikelnr.: 68101252