Concise Encyclopedia of Coding Theory

W. Cary Huffman (1948-) received his PhD in mathematics from the California Institute of Technology in 1974. He taught at Dartmouth College (1974 – 1976) as a John Wesley Young Research Instructor and then at Union College (1976 – 1978). In 1978, he joined the Department of Mathematics and Statistics at Loyola University Chicago, continuing there until his retirement in 2018; he is now professor emeritus. He served as that department’s chair from 1986 to 1992. He is co-editor of the Handbook of Coding Theory and co-author of Fundamentals of Error-Correcting Codes, both with Vera Pless. In addition, he has published numerous papers in finite group theory, combinatorics, and algebraic coding theory.Jon-Lark Kim received his Ph.D. in 2002 from Department of Math of the University of Illinois at Chicago. He was an Associate Professor at the University of Louisville until 2012. He is currently professor at Math Department of Sogang University in Seoul. He has authored more than fifty research papers and one book on Coding Theory. He is the recipient of the 2004 Kirkman medal from the Institute of Combinatorics and its Applications. His research interests include Coding Theory, Cryptography, Combinatorics, Bioinformatics, and Artificial Intelligence.Patrick Solé (1960-) received the Ingénieur and the Docteur Ingénieur degrees from Ecole Nationale Supérieure des Télécommunications, Paris, France in 1984 and 1987, respectively, and the Habilitation à Diriger des Recherches degree from University of Nice Sophia-Antipolis, France, in 1993.He has held several visiting positions at Syracuse University, Syracuse, NY, in 1987 – 1989, Macquarie University, Sydney, Australia, in 1994 – 1996, and at University des Sciences et Techniques de Lille, Lille, France, in 1999 – 2000. He has been a permanent member of Centre National de la Recherche Scientifique since 1989 and was later promoted to the rank of Senior Researcher (Directeur de Recherche) in 1996.His research interests include coding theory (covering radius, codes over rings, geometric codes, quantum codes), interconnection networks (graph spectra, expanders), space time codes (lattices, theta series), and cryptography (Boolean functions, secret sharing schemes).He is the author of more than 200 journal papers, and of four books.

• Part I. Coding Fundamentals. 1. Basics of Coding Theory. 2. Cyclic Codes over Finite Fields. 3. Construction and Classification of Codes. 4. Self-Dual Codes. 5. Codes and Designs. 6. Codes over Rings. 7. Quasi-Cyclic Codes. 8. Introduction to Skew-Polynomial Rings and Skew-Cyclic Codes. 9. Additive Cyclic Codes. 10. Convolutional Codes. 11. Rank-Metric Codes. 12. Linear Programming Bounds. 13. Semidefinite Programming Bounds for Error-Correcting Codes. Part II. Families of Codes. 14. Coding Theory and Galois Geometries. 15. Algebraic Geometry Codes and Some Applications. 16. Codes in Group Algebras. 17. Constacyclic Codes over Finite Commutative Chain Rings. 18. Weight Distribution of Trace Codes over Finite Rings. 19. Two-Weight Codes. 20. Linear Codes from Functions. 21. Codes over Graphs. Part III. Applications. 22. Alternative Metrics. 23. Algorithmic Methods. 24. Interpolation Decoding. 25. Pseudo-Noise Sequences. 26. Lattice Coding. 27. Quantum Error-Control Codes. 28. Space-Time Coding. 29. Network Codes. 30. Coding for Erasures and Fountain Codes. 31. Codes for Distributed Storage. 32. Polar Codes. 33. Secret Sharing with Linear Codes. 34. Code-Based Cryptography. Bibliography. Index.

"If you want a comprehensive outline of classical coding theory and its modern applications, you will appreciate this encyclopedia. It is written by a large international group of experts with a wide spread of experience. Extensive references to publications and web sources support the chapters; they allow the reader to follow in depth interests sparked by each topic covered. The vast range of applications detailed makes it evident that coding theory is a major and vital area of mathematics."– Emeritus Professor Harold Ward, University of Virginia "Featuring a wealth of examples and references, and addressing topics on the cutting edge of research and practice, Concise Encyclopedia of Coding Theory is especially useful for students and researchers in a wide range of mathematical disciplines, as well as is an ideal textbook for coding theory curriculums. While especially and unreservedly recommended for college and university library Combinatorics, Information Theory, and Web Encryption collections and supplemental studies curriculums, it should be noted for the personal reading lists of professional coders, coding students, academia, and non-specialist general readers with an interest in the subject"– Midwest Book Review