Coding for white-efficient memory
Information and Computation
An “average distance” inequality for large subsets of the cube
Journal of Combinatorial Theory Series B
The asymptotic behaviour of diameters in the average
Journal of Combinatorial Theory Series B
On the average hamming distance for binary codes
Discrete Applied Mathematics
On the minimun average distance of binary codes: linear programming approach
Discrete Applied Mathematics
Minimum average distance subsets in the hamming cube
Discrete Mathematics
Covering cliques with spanning bicliques
Journal of Graph Theory
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Let V be a finite set with q distinct elements. For a subset C of Vn, denote var(C) the variance of the average Hamming distance of C. Let T (n, M; q) and R (n, M; q) denote the minimum and maximum variance of the average Hamming distance of subsets of Vn with cardinality M, respectively. In this paper, we study T(n, M; q) and R(n, M; q) for general q. Using methods from coding theory, we derive upper and lower bounds on var(C), which generalize and unify the bounds for the case q = 2. These bounds enable us to determine the exact value for T(n, M; q) and R(n, M; q) in several cases.