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New upper bounds on codes via association schemes and linear programming
Author(s) -
Beniamin Mounits,
Tuvi Etzion,
Simon Litsyn
Publication year - 2007
Publication title -
advances in mathematics of communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.601
H-Index - 26
eISSN - 1930-5346
pISSN - 1930-5338
DOI - 10.3934/amc.2007.1.173
Subject(s) - mathematics , association scheme , hamming distance , upper and lower bounds , combinatorics , hamming bound , hamming code , binary number , metric (unit) , linear programming , discrete mathematics , constant (computer programming) , binary code , code (set theory) , algorithm , block code , decoding methods , arithmetic , mathematical analysis , operations management , set (abstract data type) , computer science , economics , programming language
Let A(n,d) denote the maximum number of codewords in a binary code of length n and minimum Hamming distance d. Upper and lower bounds on A(n,d) have been a subject for extensive research. In this paper we examine upper bounds on A(n,d) as a special case of bounds on the size of subsets in metric association scheme. We will first obtain general bounds on the size of such subsets, apply these bounds to the binary Hamming scheme, and use linear programming to further improve the bounds. We show that the sphere packing bound and the Johnson bound as well as other bounds are special cases of one of the bounds obtained from association schemes. Specific bounds on A(n,d) as well as on the sizes of constant weight codes are also discussed.

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