Table of Contents:
  • The Science of Information
  • The Science of Information
  • Fundamentals of Network Coding
  • Information Measures
  • Information Measures
  • Zero-Error Data Compression
  • Weak Typicality
  • Strong Typicality
  • Discrete Memoryless Channels
  • Rate-Distortion Theory
  • The Blahut-Arimoto Algorithms
  • Differential Entropy
  • Continuous-Valued Channels
  • Markov Structures
  • Information Inequalities
  • Shannon-Type Inequalities
  • Beyond Shannon-Type Inequalities
  • Entropy and Groups
  • Fundamentals of Network Coding
  • The Max-Flow Bound
  • Single-Source Linear Network Coding: Acyclic Networks
  • Single-Source Linear Network Coding: Cyclic Networks
  • Multi-source Network Coding.