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Algorithmic Information Theory

Mathematics of Digital Information Processing

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  • 452pages
  • 16 heures de lecture

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Focusing on the interplay between algebra and information processing, this book presents a unique exploration of algorithms within discrete mathematics, emphasizing polynomial and matrix algebra. It begins with foundational concepts in data compaction and cryptography, accessible to undergraduates, and progresses to more complex topics. The material evolves from a series of lectures, maintaining a strong algebraic theme throughout. A solid grasp of elementary arithmetic and linear algebra is essential for readers to navigate the intricate landscapes of bit-streams discussed in the text.

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Algorithmic Information Theory, Peter Seibt

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Année de publication
2010
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